diff --git a/docs/_posts/ahmedlone127/2024-09-03-bge_base_securiti_dataset_1_v19_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-03-bge_base_securiti_dataset_1_v19_pipeline_en.md
new file mode 100644
index 00000000000000..316cc03d44c837
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@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bge_base_securiti_dataset_1_v19_pipeline pipeline BGEEmbeddings from MugheesAwan11
+author: John Snow Labs
+name: bge_base_securiti_dataset_1_v19_pipeline
+date: 2024-09-03
+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_securiti_dataset_1_v19_pipeline` is a English model originally trained by MugheesAwan11.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bge_base_securiti_dataset_1_v19_pipeline_en_5.5.0_3.0_1725357366801.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bge_base_securiti_dataset_1_v19_pipeline_en_5.5.0_3.0_1725357366801.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bge_base_securiti_dataset_1_v19_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bge_base_securiti_dataset_1_v19_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bge_base_securiti_dataset_1_v19_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|381.4 MB|
+
+## References
+
+https://huggingface.co/MugheesAwan11/bge-base-securiti-dataset-1-v19
+
+## Included Models
+
+- DocumentAssembler
+- BGEEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-03-burmese_translation_helsinki_en.md b/docs/_posts/ahmedlone127/2024-09-03-burmese_translation_helsinki_en.md
new file mode 100644
index 00000000000000..30ce8c6b13b880
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-03-burmese_translation_helsinki_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_translation_helsinki MarianTransformer from duwuonline
+author: John Snow Labs
+name: burmese_translation_helsinki
+date: 2024-09-03
+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.`burmese_translation_helsinki` is a English model originally trained by duwuonline.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_translation_helsinki_en_5.5.0_3.0_1725345497152.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_translation_helsinki_en_5.5.0_3.0_1725345497152.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_translation_helsinki|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|474.8 MB|
+
+## References
+
+https://huggingface.co/duwuonline/my-translation-helsinki
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-03-distilroberta_sst2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-03-distilroberta_sst2_pipeline_en.md
new file mode 100644
index 00000000000000..b90deabc678480
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-03-distilroberta_sst2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilroberta_sst2_pipeline pipeline RoBertaForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilroberta_sst2_pipeline
+date: 2024-09-03
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark 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_sst2_pipeline` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_sst2_pipeline_en_5.5.0_3.0_1725369518559.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_sst2_pipeline_en_5.5.0_3.0_1725369518559.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilroberta_sst2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilroberta_sst2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_sst2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|308.6 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilroberta-sst2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-03-opus_maltese_thai_english_finetuned_english_tonga_tonga_islands_thai_theetawat_en.md b/docs/_posts/ahmedlone127/2024-09-03-opus_maltese_thai_english_finetuned_english_tonga_tonga_islands_thai_theetawat_en.md
new file mode 100644
index 00000000000000..e11316eff977c6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-03-opus_maltese_thai_english_finetuned_english_tonga_tonga_islands_thai_theetawat_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_thai_english_finetuned_english_tonga_tonga_islands_thai_theetawat MarianTransformer from Theetawat
+author: John Snow Labs
+name: opus_maltese_thai_english_finetuned_english_tonga_tonga_islands_thai_theetawat
+date: 2024-09-03
+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_thai_english_finetuned_english_tonga_tonga_islands_thai_theetawat` is a English model originally trained by Theetawat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_thai_english_finetuned_english_tonga_tonga_islands_thai_theetawat_en_5.5.0_3.0_1725345502547.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_thai_english_finetuned_english_tonga_tonga_islands_thai_theetawat_en_5.5.0_3.0_1725345502547.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_thai_english_finetuned_english_tonga_tonga_islands_thai_theetawat|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|524.2 MB|
+
+## References
+
+https://huggingface.co/Theetawat/opus-mt-th-en-finetuned-en-to-th
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-03-spoken_deberta_small_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-03-spoken_deberta_small_v2_pipeline_en.md
new file mode 100644
index 00000000000000..826e2c205a4de8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-03-spoken_deberta_small_v2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English spoken_deberta_small_v2_pipeline pipeline DeBertaEmbeddings from viethq188
+author: John Snow Labs
+name: spoken_deberta_small_v2_pipeline
+date: 2024-09-03
+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 DeBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`spoken_deberta_small_v2_pipeline` is a English model originally trained by viethq188.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/spoken_deberta_small_v2_pipeline_en_5.5.0_3.0_1725377416913.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/spoken_deberta_small_v2_pipeline_en_5.5.0_3.0_1725377416913.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("spoken_deberta_small_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("spoken_deberta_small_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|spoken_deberta_small_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|387.8 MB|
+
+## References
+
+https://huggingface.co/viethq188/spoken-deberta-small-v2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DeBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-03-twitter_roberta_base_sentiment_kapiche_en.md b/docs/_posts/ahmedlone127/2024-09-03-twitter_roberta_base_sentiment_kapiche_en.md
new file mode 100644
index 00000000000000..cc8e82d986050d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-03-twitter_roberta_base_sentiment_kapiche_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English twitter_roberta_base_sentiment_kapiche RoBertaForSequenceClassification from Kapiche
+author: John Snow Labs
+name: twitter_roberta_base_sentiment_kapiche
+date: 2024-09-03
+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_sentiment_kapiche` is a English model originally trained by Kapiche.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_sentiment_kapiche_en_5.5.0_3.0_1725368614329.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_sentiment_kapiche_en_5.5.0_3.0_1725368614329.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_sentiment_kapiche|
+|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/Kapiche/twitter-roberta-base-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-03-xlmroberta_ner_victen_base_finetuned_panx_pipeline_de.md b/docs/_posts/ahmedlone127/2024-09-03-xlmroberta_ner_victen_base_finetuned_panx_pipeline_de.md
new file mode 100644
index 00000000000000..830b9985c4a678
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-03-xlmroberta_ner_victen_base_finetuned_panx_pipeline_de.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: German xlmroberta_ner_victen_base_finetuned_panx_pipeline pipeline XlmRoBertaForTokenClassification from victen
+author: John Snow Labs
+name: xlmroberta_ner_victen_base_finetuned_panx_pipeline
+date: 2024-09-03
+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_victen_base_finetuned_panx_pipeline` is a German model originally trained by victen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlmroberta_ner_victen_base_finetuned_panx_pipeline_de_5.5.0_3.0_1725348073405.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlmroberta_ner_victen_base_finetuned_panx_pipeline_de_5.5.0_3.0_1725348073405.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlmroberta_ner_victen_base_finetuned_panx_pipeline", lang = "de")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlmroberta_ner_victen_base_finetuned_panx_pipeline", lang = "de")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlmroberta_ner_victen_base_finetuned_panx_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|de|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/victen/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-04-203_hw2_branflake_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-04-203_hw2_branflake_pipeline_en.md
new file mode 100644
index 00000000000000..b7a605566ae328
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-04-203_hw2_branflake_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English 203_hw2_branflake_pipeline pipeline RoBertaForQuestionAnswering from branflake
+author: John Snow Labs
+name: 203_hw2_branflake_pipeline
+date: 2024-09-04
+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.`203_hw2_branflake_pipeline` is a English model originally trained by branflake.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/203_hw2_branflake_pipeline_en_5.5.0_3.0_1725483891814.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/203_hw2_branflake_pipeline_en_5.5.0_3.0_1725483891814.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("203_hw2_branflake_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("203_hw2_branflake_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|203_hw2_branflake_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|464.0 MB|
+
+## References
+
+https://huggingface.co/branflake/203_hw2
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-04-all_mpnet_base_v2_survey3000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-04-all_mpnet_base_v2_survey3000_pipeline_en.md
new file mode 100644
index 00000000000000..8b9d8d71d552a9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-04-all_mpnet_base_v2_survey3000_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English all_mpnet_base_v2_survey3000_pipeline pipeline MPNetEmbeddings from zihoo
+author: John Snow Labs
+name: all_mpnet_base_v2_survey3000_pipeline
+date: 2024-09-04
+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.`all_mpnet_base_v2_survey3000_pipeline` is a English model originally trained by zihoo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_mpnet_base_v2_survey3000_pipeline_en_5.5.0_3.0_1725470274971.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_mpnet_base_v2_survey3000_pipeline_en_5.5.0_3.0_1725470274971.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("all_mpnet_base_v2_survey3000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("all_mpnet_base_v2_survey3000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_mpnet_base_v2_survey3000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/zihoo/all-mpnet-base-v2-survey3000
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-04-burmese_awesome_roberta_model_en.md b/docs/_posts/ahmedlone127/2024-09-04-burmese_awesome_roberta_model_en.md
new file mode 100644
index 00000000000000..6a9615de1000fb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-04-burmese_awesome_roberta_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_roberta_model DistilBertForTokenClassification from Meli-nlp
+author: John Snow Labs
+name: burmese_awesome_roberta_model
+date: 2024-09-04
+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_roberta_model` is a English model originally trained by Meli-nlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_roberta_model_en_5.5.0_3.0_1725461290776.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_roberta_model_en_5.5.0_3.0_1725461290776.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_roberta_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|367.9 MB|
+
+## References
+
+https://huggingface.co/Meli-nlp/my_awesome_roberta_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-04-burmese_awesome_wnut_model_subham123_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-04-burmese_awesome_wnut_model_subham123_pipeline_en.md
new file mode 100644
index 00000000000000..617187ccb0889f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-04-burmese_awesome_wnut_model_subham123_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_subham123_pipeline pipeline DistilBertForTokenClassification from subham123
+author: John Snow Labs
+name: burmese_awesome_wnut_model_subham123_pipeline
+date: 2024-09-04
+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_awesome_wnut_model_subham123_pipeline` is a English model originally trained by subham123.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_subham123_pipeline_en_5.5.0_3.0_1725460834102.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_subham123_pipeline_en_5.5.0_3.0_1725460834102.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_wnut_model_subham123_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_wnut_model_subham123_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_subham123_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/subham123/my_awesome_wnut_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-04-chatrag_deberta_en.md b/docs/_posts/ahmedlone127/2024-09-04-chatrag_deberta_en.md
new file mode 100644
index 00000000000000..abf681af928b89
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-04-chatrag_deberta_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English chatrag_deberta DeBertaForSequenceClassification from AgentPublic
+author: John Snow Labs
+name: chatrag_deberta
+date: 2024-09-04
+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.`chatrag_deberta` is a English model originally trained by AgentPublic.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/chatrag_deberta_en_5.5.0_3.0_1725439819333.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/chatrag_deberta_en_5.5.0_3.0_1725439819333.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|chatrag_deberta|
+|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/AgentPublic/chatrag-deberta
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-04-craft_clinicalbert_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-04-craft_clinicalbert_ner_pipeline_en.md
new file mode 100644
index 00000000000000..60b7f7ab6aa2cf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-04-craft_clinicalbert_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English craft_clinicalbert_ner_pipeline pipeline DistilBertForTokenClassification from judithrosell
+author: John Snow Labs
+name: craft_clinicalbert_ner_pipeline
+date: 2024-09-04
+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.`craft_clinicalbert_ner_pipeline` is a English model originally trained by judithrosell.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/craft_clinicalbert_ner_pipeline_en_5.5.0_3.0_1725476189172.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/craft_clinicalbert_ner_pipeline_en_5.5.0_3.0_1725476189172.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("craft_clinicalbert_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("craft_clinicalbert_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|craft_clinicalbert_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/judithrosell/CRAFT_ClinicalBERT_NER
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-04-deberta_v3_base_finetuned_bluegennx_run2_6_en.md b/docs/_posts/ahmedlone127/2024-09-04-deberta_v3_base_finetuned_bluegennx_run2_6_en.md
new file mode 100644
index 00000000000000..d6e5b1d7e4c58f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-04-deberta_v3_base_finetuned_bluegennx_run2_6_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English deberta_v3_base_finetuned_bluegennx_run2_6 DeBertaForTokenClassification from C4Scale
+author: John Snow Labs
+name: deberta_v3_base_finetuned_bluegennx_run2_6
+date: 2024-09-04
+tags: [en, open_source, onnx, token_classification, deberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DeBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DeBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deberta_v3_base_finetuned_bluegennx_run2_6` is a English model originally trained by C4Scale.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deberta_v3_base_finetuned_bluegennx_run2_6_en_5.5.0_3.0_1725475330103.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_v3_base_finetuned_bluegennx_run2_6_en_5.5.0_3.0_1725475330103.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_bluegennx_run2_6|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|607.8 MB|
+
+## References
+
+https://huggingface.co/C4Scale/deberta-v3-base_finetuned_bluegennx_run2.6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-04-deberta_v3_base_finetuned_mcqa_michaellutz_en.md b/docs/_posts/ahmedlone127/2024-09-04-deberta_v3_base_finetuned_mcqa_michaellutz_en.md
new file mode 100644
index 00000000000000..914c91177495ac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-04-deberta_v3_base_finetuned_mcqa_michaellutz_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English deberta_v3_base_finetuned_mcqa_michaellutz DeBertaForSequenceClassification from michaellutz
+author: John Snow Labs
+name: deberta_v3_base_finetuned_mcqa_michaellutz
+date: 2024-09-04
+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_mcqa_michaellutz` is a English model originally trained by michaellutz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deberta_v3_base_finetuned_mcqa_michaellutz_en_5.5.0_3.0_1725468480077.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_v3_base_finetuned_mcqa_michaellutz_en_5.5.0_3.0_1725468480077.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_phantatbach|
+|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/phantatbach/distilbert-base-uncased-finetuned-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-04-distilbert_base_uncased_finetuned_ner_anuroopkeshav_en.md b/docs/_posts/ahmedlone127/2024-09-04-distilbert_base_uncased_finetuned_ner_anuroopkeshav_en.md
new file mode 100644
index 00000000000000..e9eeac1afe0510
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-04-distilbert_base_uncased_finetuned_ner_anuroopkeshav_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_anuroopkeshav DistilBertForTokenClassification from anuroopkeshav
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_anuroopkeshav
+date: 2024-09-04
+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_anuroopkeshav` is a English model originally trained by anuroopkeshav.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_anuroopkeshav_en_5.5.0_3.0_1725448321510.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_anuroopkeshav_en_5.5.0_3.0_1725448321510.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_raghav0802|
+|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/Raghav0802/dummy-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-04-finer_distillbert_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-04-finer_distillbert_v2_pipeline_en.md
new file mode 100644
index 00000000000000..4f29bc9ee7a5ff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-04-finer_distillbert_v2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finer_distillbert_v2_pipeline pipeline DistilBertForTokenClassification from HariLuru
+author: John Snow Labs
+name: finer_distillbert_v2_pipeline
+date: 2024-09-04
+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.`finer_distillbert_v2_pipeline` is a English model originally trained by HariLuru.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finer_distillbert_v2_pipeline_en_5.5.0_3.0_1725492678675.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finer_distillbert_v2_pipeline_en_5.5.0_3.0_1725492678675.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finer_distillbert_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finer_distillbert_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finer_distillbert_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/HariLuru/finer_distillbert_v2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-04-marianmt_igbo_best_18_10_23_ig.md b/docs/_posts/ahmedlone127/2024-09-04-marianmt_igbo_best_18_10_23_ig.md
new file mode 100644
index 00000000000000..0719eb859374b9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-04-marianmt_igbo_best_18_10_23_ig.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Igbo marianmt_igbo_best_18_10_23 MarianTransformer from Sunbird
+author: John Snow Labs
+name: marianmt_igbo_best_18_10_23
+date: 2024-09-04
+tags: [ig, open_source, onnx, translation, marian]
+task: Translation
+language: ig
+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.`marianmt_igbo_best_18_10_23` is a Igbo model originally trained by Sunbird.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marianmt_igbo_best_18_10_23_ig_5.5.0_3.0_1725493920539.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marianmt_igbo_best_18_10_23_ig_5.5.0_3.0_1725493920539.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marianmt_igbo_best_18_10_23|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|ig|
+|Size:|531.8 MB|
+
+## References
+
+https://huggingface.co/Sunbird/MarianMT_Igbo_best_18_10_23
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-04-mpnet_stackexchange_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-04-mpnet_stackexchange_v1_pipeline_en.md
new file mode 100644
index 00000000000000..b81337509c422d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-04-mpnet_stackexchange_v1_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English mpnet_stackexchange_v1_pipeline pipeline MPNetEmbeddings from flax-sentence-embeddings
+author: John Snow Labs
+name: mpnet_stackexchange_v1_pipeline
+date: 2024-09-04
+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.`mpnet_stackexchange_v1_pipeline` is a English model originally trained by flax-sentence-embeddings.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mpnet_stackexchange_v1_pipeline_en_5.5.0_3.0_1725470937827.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mpnet_stackexchange_v1_pipeline_en_5.5.0_3.0_1725470937827.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mpnet_stackexchange_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mpnet_stackexchange_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mpnet_stackexchange_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.6 MB|
+
+## References
+
+https://huggingface.co/flax-sentence-embeddings/mpnet_stackexchange_v1
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-04-mt5_base_qaqg_finetuned_tydiqa_indonesian_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-04-mt5_base_qaqg_finetuned_tydiqa_indonesian_pipeline_en.md
new file mode 100644
index 00000000000000..7632e4d5995ff2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-04-mt5_base_qaqg_finetuned_tydiqa_indonesian_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English mt5_base_qaqg_finetuned_tydiqa_indonesian_pipeline pipeline T5Transformer from hawalurahman
+author: John Snow Labs
+name: mt5_base_qaqg_finetuned_tydiqa_indonesian_pipeline
+date: 2024-09-04
+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.`mt5_base_qaqg_finetuned_tydiqa_indonesian_pipeline` is a English model originally trained by hawalurahman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mt5_base_qaqg_finetuned_tydiqa_indonesian_pipeline_en_5.5.0_3.0_1725459735871.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mt5_base_qaqg_finetuned_tydiqa_indonesian_pipeline_en_5.5.0_3.0_1725459735871.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mt5_base_qaqg_finetuned_tydiqa_indonesian_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mt5_base_qaqg_finetuned_tydiqa_indonesian_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mt5_base_qaqg_finetuned_tydiqa_indonesian_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|2.3 GB|
+
+## References
+
+https://huggingface.co/hawalurahman/mt5-base-qaqg-finetuned-TydiQA-id
+
+## Included Models
+
+- DocumentAssembler
+- T5Transformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-04-multilingual_e5_base_censor_v0_2_pipeline_xx.md b/docs/_posts/ahmedlone127/2024-09-04-multilingual_e5_base_censor_v0_2_pipeline_xx.md
new file mode 100644
index 00000000000000..dc8c2dba4b9c1c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-04-multilingual_e5_base_censor_v0_2_pipeline_xx.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Multilingual multilingual_e5_base_censor_v0_2_pipeline pipeline XlmRoBertaForSequenceClassification from Data-Lab
+author: John Snow Labs
+name: multilingual_e5_base_censor_v0_2_pipeline
+date: 2024-09-04
+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 XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`multilingual_e5_base_censor_v0_2_pipeline` is a Multilingual model originally trained by Data-Lab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/multilingual_e5_base_censor_v0_2_pipeline_xx_5.5.0_3.0_1725411104894.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/multilingual_e5_base_censor_v0_2_pipeline_xx_5.5.0_3.0_1725411104894.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("multilingual_e5_base_censor_v0_2_pipeline", lang = "xx")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("multilingual_e5_base_censor_v0_2_pipeline", lang = "xx")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|multilingual_e5_base_censor_v0_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|xx|
+|Size:|800.1 MB|
+
+## References
+
+https://huggingface.co/Data-Lab/multilingual-e5-base_censor_v0.2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-04-same_story_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-04-same_story_pipeline_en.md
new file mode 100644
index 00000000000000..73e394321c60a6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-04-same_story_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English same_story_pipeline pipeline MPNetEmbeddings from dell-research-harvard
+author: John Snow Labs
+name: same_story_pipeline
+date: 2024-09-04
+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.`same_story_pipeline` is a English model originally trained by dell-research-harvard.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/same_story_pipeline_en_5.5.0_3.0_1725469889319.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/same_story_pipeline_en_5.5.0_3.0_1725469889319.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("same_story_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("same_story_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|same_story_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/dell-research-harvard/same-story
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-04-sent_bert_large_arabertv02_twitter_pipeline_ar.md b/docs/_posts/ahmedlone127/2024-09-04-sent_bert_large_arabertv02_twitter_pipeline_ar.md
new file mode 100644
index 00000000000000..41d0860cba82dc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-04-sent_bert_large_arabertv02_twitter_pipeline_ar.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: Arabic sent_bert_large_arabertv02_twitter_pipeline pipeline BertSentenceEmbeddings from aubmindlab
+author: John Snow Labs
+name: sent_bert_large_arabertv02_twitter_pipeline
+date: 2024-09-04
+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 BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_large_arabertv02_twitter_pipeline` is a Arabic model originally trained by aubmindlab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_large_arabertv02_twitter_pipeline_ar_5.5.0_3.0_1725434055536.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_large_arabertv02_twitter_pipeline_ar_5.5.0_3.0_1725434055536.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_large_arabertv02_twitter_pipeline", lang = "ar")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_large_arabertv02_twitter_pipeline", lang = "ar")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_large_arabertv02_twitter_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ar|
+|Size:|1.4 GB|
+
+## References
+
+https://huggingface.co/aubmindlab/bert-large-arabertv02-twitter
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-04-xlm_r_galen_pharmaconer_es.md b/docs/_posts/ahmedlone127/2024-09-04-xlm_r_galen_pharmaconer_es.md
new file mode 100644
index 00000000000000..82c7839a03b2cc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-04-xlm_r_galen_pharmaconer_es.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Castilian, Spanish xlm_r_galen_pharmaconer XlmRoBertaForTokenClassification from IIC
+author: John Snow Labs
+name: xlm_r_galen_pharmaconer
+date: 2024-09-04
+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.`xlm_r_galen_pharmaconer` is a Castilian, Spanish model originally trained by IIC.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_r_galen_pharmaconer_es_5.5.0_3.0_1725424267840.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_r_galen_pharmaconer_es_5.5.0_3.0_1725424267840.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_r_galen_pharmaconer|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|es|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/IIC/XLM_R_Galen-pharmaconer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-05-bert_full_finetuned_ner_pablo_en.md b/docs/_posts/ahmedlone127/2024-09-05-bert_full_finetuned_ner_pablo_en.md
new file mode 100644
index 00000000000000..974cbd18172759
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-05-bert_full_finetuned_ner_pablo_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_full_finetuned_ner_pablo BertForTokenClassification from pabRomero
+author: John Snow Labs
+name: bert_full_finetuned_ner_pablo
+date: 2024-09-05
+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_full_finetuned_ner_pablo` is a English model originally trained by pabRomero.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_full_finetuned_ner_pablo_en_5.5.0_3.0_1725538572971.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_full_finetuned_ner_pablo_en_5.5.0_3.0_1725538572971.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_full_finetuned_ner_pablo|
+|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/pabRomero/BERT-full-finetuned-ner-pablo
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-05-burmese_awesome_wnut_model_chuhao1305_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-05-burmese_awesome_wnut_model_chuhao1305_pipeline_en.md
new file mode 100644
index 00000000000000..6629791d983a6a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-05-burmese_awesome_wnut_model_chuhao1305_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_chuhao1305_pipeline pipeline DistilBertForTokenClassification from Chuhao1305
+author: John Snow Labs
+name: burmese_awesome_wnut_model_chuhao1305_pipeline
+date: 2024-09-05
+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_awesome_wnut_model_chuhao1305_pipeline` is a English model originally trained by Chuhao1305.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_chuhao1305_pipeline_en_5.5.0_3.0_1725500729450.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_chuhao1305_pipeline_en_5.5.0_3.0_1725500729450.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_wnut_model_chuhao1305_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_wnut_model_chuhao1305_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_chuhao1305_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Chuhao1305/my_awesome_wnut_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-05-clip_fine_tuned_satellite_en.md b/docs/_posts/ahmedlone127/2024-09-05-clip_fine_tuned_satellite_en.md
new file mode 100644
index 00000000000000..f0f80be8922f3f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-05-clip_fine_tuned_satellite_en.md
@@ -0,0 +1,120 @@
+---
+layout: model
+title: English clip_fine_tuned_satellite CLIPForZeroShotClassification from NemesisAlm
+author: John Snow Labs
+name: clip_fine_tuned_satellite
+date: 2024-09-05
+tags: [en, open_source, onnx, zero_shot, clip, image]
+task: Zero-Shot Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: CLIPForZeroShotClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained CLIPForZeroShotClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`clip_fine_tuned_satellite` is a English model originally trained by NemesisAlm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clip_fine_tuned_satellite_en_5.5.0_3.0_1725540117345.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clip_fine_tuned_satellite_en_5.5.0_3.0_1725540117345.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+imageDF = spark.read \
+ .format("image") \
+ .option("dropInvalid", value = True) \
+ .load("src/test/resources/image/")
+
+candidateLabels = [
+ "a photo of a bird",
+ "a photo of a cat",
+ "a photo of a dog",
+ "a photo of a hen",
+ "a photo of a hippo",
+ "a photo of a room",
+ "a photo of a tractor",
+ "a photo of an ostrich",
+ "a photo of an ox"]
+
+ImageAssembler = ImageAssembler() \
+ .setInputCol("image") \
+ .setOutputCol("image_assembler")
+
+imageClassifier = CLIPForZeroShotClassification.pretrained("clip_fine_tuned_satellite","en") \
+ .setInputCols(["image_assembler"]) \
+ .setOutputCol("label") \
+ .setCandidateLabels(candidateLabels)
+
+pipeline = Pipeline().setStages([ImageAssembler, imageClassifier])
+pipelineModel = pipeline.fit(imageDF)
+pipelineDF = pipelineModel.transform(imageDF)
+
+
+```
+```scala
+
+
+val imageDF = ResourceHelper.spark.read
+ .format("image")
+ .option("dropInvalid", value = true)
+ .load("src/test/resources/image/")
+
+val candidateLabels = Array(
+ "a photo of a bird",
+ "a photo of a cat",
+ "a photo of a dog",
+ "a photo of a hen",
+ "a photo of a hippo",
+ "a photo of a room",
+ "a photo of a tractor",
+ "a photo of an ostrich",
+ "a photo of an ox")
+
+val imageAssembler = new ImageAssembler()
+ .setInputCol("image")
+ .setOutputCol("image_assembler")
+
+val imageClassifier = CLIPForZeroShotClassification.pretrained("clip_fine_tuned_satellite","en") \
+ .setInputCols(Array("image_assembler")) \
+ .setOutputCol("label") \
+ .setCandidateLabels(candidateLabels)
+
+val pipeline = new Pipeline().setStages(Array(imageAssembler, imageClassifier))
+val pipelineModel = pipeline.fit(imageDF)
+val pipelineDF = pipelineModel.transform(imageDF)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clip_fine_tuned_satellite|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[image_assembler]|
+|Output Labels:|[label]|
+|Language:|en|
+|Size:|449.8 MB|
+
+## References
+
+https://huggingface.co/NemesisAlm/clip-fine-tuned-satellite
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-05-clip_zabir_2_en.md b/docs/_posts/ahmedlone127/2024-09-05-clip_zabir_2_en.md
new file mode 100644
index 00000000000000..4f98252d8109fc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-05-clip_zabir_2_en.md
@@ -0,0 +1,120 @@
+---
+layout: model
+title: English clip_zabir_2 CLIPForZeroShotClassification from zabir735
+author: John Snow Labs
+name: clip_zabir_2
+date: 2024-09-05
+tags: [en, open_source, onnx, zero_shot, clip, image]
+task: Zero-Shot Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: CLIPForZeroShotClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained CLIPForZeroShotClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`clip_zabir_2` is a English model originally trained by zabir735.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clip_zabir_2_en_5.5.0_3.0_1725540627710.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clip_zabir_2_en_5.5.0_3.0_1725540627710.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+imageDF = spark.read \
+ .format("image") \
+ .option("dropInvalid", value = True) \
+ .load("src/test/resources/image/")
+
+candidateLabels = [
+ "a photo of a bird",
+ "a photo of a cat",
+ "a photo of a dog",
+ "a photo of a hen",
+ "a photo of a hippo",
+ "a photo of a room",
+ "a photo of a tractor",
+ "a photo of an ostrich",
+ "a photo of an ox"]
+
+ImageAssembler = ImageAssembler() \
+ .setInputCol("image") \
+ .setOutputCol("image_assembler")
+
+imageClassifier = CLIPForZeroShotClassification.pretrained("clip_zabir_2","en") \
+ .setInputCols(["image_assembler"]) \
+ .setOutputCol("label") \
+ .setCandidateLabels(candidateLabels)
+
+pipeline = Pipeline().setStages([ImageAssembler, imageClassifier])
+pipelineModel = pipeline.fit(imageDF)
+pipelineDF = pipelineModel.transform(imageDF)
+
+
+```
+```scala
+
+
+val imageDF = ResourceHelper.spark.read
+ .format("image")
+ .option("dropInvalid", value = true)
+ .load("src/test/resources/image/")
+
+val candidateLabels = Array(
+ "a photo of a bird",
+ "a photo of a cat",
+ "a photo of a dog",
+ "a photo of a hen",
+ "a photo of a hippo",
+ "a photo of a room",
+ "a photo of a tractor",
+ "a photo of an ostrich",
+ "a photo of an ox")
+
+val imageAssembler = new ImageAssembler()
+ .setInputCol("image")
+ .setOutputCol("image_assembler")
+
+val imageClassifier = CLIPForZeroShotClassification.pretrained("clip_zabir_2","en") \
+ .setInputCols(Array("image_assembler")) \
+ .setOutputCol("label") \
+ .setCandidateLabels(candidateLabels)
+
+val pipeline = new Pipeline().setStages(Array(imageAssembler, imageClassifier))
+val pipelineModel = pipeline.fit(imageDF)
+val pipelineDF = pipelineModel.transform(imageDF)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clip_zabir_2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[image_assembler]|
+|Output Labels:|[label]|
+|Language:|en|
+|Size:|561.2 MB|
+
+## References
+
+https://huggingface.co/zabir735/clip-zabir-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-05-ct_kld_xlmr_20230908_en.md b/docs/_posts/ahmedlone127/2024-09-05-ct_kld_xlmr_20230908_en.md
new file mode 100644
index 00000000000000..50875b4f5e7cd9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-05-ct_kld_xlmr_20230908_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English ct_kld_xlmr_20230908 XlmRoBertaForQuestionAnswering from intanm
+author: John Snow Labs
+name: ct_kld_xlmr_20230908
+date: 2024-09-05
+tags: [en, open_source, onnx, question_answering, xlm_roberta]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ct_kld_xlmr_20230908` is a English model originally trained by intanm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ct_kld_xlmr_20230908_en_5.5.0_3.0_1725499096691.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ct_kld_xlmr_20230908_en_5.5.0_3.0_1725499096691.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dbbert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|el|
+|Size:|408.3 MB|
+
+## References
+
+References
+
+https://huggingface.co/colinswaelens/DBBErt
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-05-deberta_v3_base_prompt_injection_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-05-deberta_v3_base_prompt_injection_v2_pipeline_en.md
new file mode 100644
index 00000000000000..1d2afae7e32c92
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-05-deberta_v3_base_prompt_injection_v2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English deberta_v3_base_prompt_injection_v2_pipeline pipeline DeBertaForSequenceClassification from protectai
+author: John Snow Labs
+name: deberta_v3_base_prompt_injection_v2_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 DeBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deberta_v3_base_prompt_injection_v2_pipeline` is a English model originally trained by protectai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deberta_v3_base_prompt_injection_v2_pipeline_en_5.5.0_3.0_1725561632245.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_v3_base_prompt_injection_v2_pipeline_en_5.5.0_3.0_1725561632245.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("deberta_v3_base_prompt_injection_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("deberta_v3_base_prompt_injection_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deberta_v3_base_prompt_injection_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|662.6 MB|
+
+## References
+
+https://huggingface.co/protectai/deberta-v3-base-prompt-injection-v2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DeBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-05-distilbert_base_uncased_finetuned_clinc_mrwetsnow_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-05-distilbert_base_uncased_finetuned_clinc_mrwetsnow_pipeline_en.md
new file mode 100644
index 00000000000000..abc93427cf69f6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-05-distilbert_base_uncased_finetuned_clinc_mrwetsnow_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_mrwetsnow_pipeline pipeline DistilBertForSequenceClassification from MrWetsnow
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_mrwetsnow_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.`distilbert_base_uncased_finetuned_clinc_mrwetsnow_pipeline` is a English model originally trained by MrWetsnow.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_mrwetsnow_pipeline_en_5.5.0_3.0_1725507260170.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_mrwetsnow_pipeline_en_5.5.0_3.0_1725507260170.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_mrwetsnow_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_clinc_mrwetsnow_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_mrwetsnow_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/MrWetsnow/distilbert-base-uncased-finetuned-clinc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-05-distilbert_base_uncased_finetuned_ner_ggital_en.md b/docs/_posts/ahmedlone127/2024-09-05-distilbert_base_uncased_finetuned_ner_ggital_en.md
new file mode 100644
index 00000000000000..24d71f67904434
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-05-distilbert_base_uncased_finetuned_ner_ggital_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_ggital DistilBertForTokenClassification from GGital
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_ggital
+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.`distilbert_base_uncased_finetuned_ner_ggital` is a English model originally trained by GGital.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_ggital_en_5.5.0_3.0_1725495908399.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_ggital_en_5.5.0_3.0_1725495908399.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_ggital|
+|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/GGital/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-05-distilbert_base_uncased_finetuned_ner_nsboan_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-05-distilbert_base_uncased_finetuned_ner_nsboan_pipeline_en.md
new file mode 100644
index 00000000000000..c42b27763ea927
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-05-distilbert_base_uncased_finetuned_ner_nsboan_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_nsboan_pipeline pipeline DistilBertForTokenClassification from nsboan
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_nsboan_pipeline
+date: 2024-09-05
+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_nsboan_pipeline` is a English model originally trained by nsboan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_nsboan_pipeline_en_5.5.0_3.0_1725518372547.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_nsboan_pipeline_en_5.5.0_3.0_1725518372547.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_nsboan_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_ner_nsboan_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_nsboan_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/nsboan/distilbert-base-uncased-finetuned-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-05-finetuning_sentiment_model_3000_samples_sab03_en.md b/docs/_posts/ahmedlone127/2024-09-05-finetuning_sentiment_model_3000_samples_sab03_en.md
new file mode 100644
index 00000000000000..938886be0f6c5a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-05-finetuning_sentiment_model_3000_samples_sab03_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_sab03 DistilBertForSequenceClassification from SAB03
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_sab03
+date: 2024-09-05
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_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_sab03` is a English model originally trained by SAB03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_sab03_en_5.5.0_3.0_1725579852359.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_sab03_en_5.5.0_3.0_1725579852359.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_sab03|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SAB03/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-05-g3_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2024-09-05-g3_finetuned_ner_en.md
new file mode 100644
index 00000000000000..72339ceba32aa0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-05-g3_finetuned_ner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English g3_finetuned_ner DistilBertForTokenClassification from sahillihas
+author: John Snow Labs
+name: g3_finetuned_ner
+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.`g3_finetuned_ner` is a English model originally trained by sahillihas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/g3_finetuned_ner_en_5.5.0_3.0_1725500919294.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/g3_finetuned_ner_en_5.5.0_3.0_1725500919294.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_caresa|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|es|
+|Size:|794.5 MB|
+
+## References
+
+https://huggingface.co/IIC/mdeberta-v3-base-caresA
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-05-opus_maltese_korean_english_finetuned_english_tonga_tonga_islands_korean_obokkkk_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-05-opus_maltese_korean_english_finetuned_english_tonga_tonga_islands_korean_obokkkk_pipeline_en.md
new file mode 100644
index 00000000000000..0b488cabf9a4d7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-05-opus_maltese_korean_english_finetuned_english_tonga_tonga_islands_korean_obokkkk_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_korean_english_finetuned_english_tonga_tonga_islands_korean_obokkkk_pipeline pipeline MarianTransformer from obokkkk
+author: John Snow Labs
+name: opus_maltese_korean_english_finetuned_english_tonga_tonga_islands_korean_obokkkk_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_korean_english_finetuned_english_tonga_tonga_islands_korean_obokkkk_pipeline` is a English model originally trained by obokkkk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_korean_english_finetuned_english_tonga_tonga_islands_korean_obokkkk_pipeline_en_5.5.0_3.0_1725494657615.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_korean_english_finetuned_english_tonga_tonga_islands_korean_obokkkk_pipeline_en_5.5.0_3.0_1725494657615.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_english_tonga_tonga_islands_korean_obokkkk_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_korean_english_finetuned_english_tonga_tonga_islands_korean_obokkkk_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_korean_english_finetuned_english_tonga_tonga_islands_korean_obokkkk_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|541.0 MB|
+
+## References
+
+https://huggingface.co/obokkkk/opus-mt-ko-en-finetuned-en-to-ko
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-05-output_ben_epstein_en.md b/docs/_posts/ahmedlone127/2024-09-05-output_ben_epstein_en.md
new file mode 100644
index 00000000000000..fdf7fea6a94941
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-05-output_ben_epstein_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English output_ben_epstein DistilBertForTokenClassification from ben-epstein
+author: John Snow Labs
+name: output_ben_epstein
+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.`output_ben_epstein` is a English model originally trained by ben-epstein.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/output_ben_epstein_en_5.5.0_3.0_1725500382005.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/output_ben_epstein_en_5.5.0_3.0_1725500382005.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|output_ben_epstein|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/ben-epstein/output
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-05-paiute_tonga_tonga_islands_english_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-05-paiute_tonga_tonga_islands_english_pipeline_en.md
new file mode 100644
index 00000000000000..a2f37513d51f2b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-05-paiute_tonga_tonga_islands_english_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English paiute_tonga_tonga_islands_english_pipeline pipeline MarianTransformer from jcole333
+author: John Snow Labs
+name: paiute_tonga_tonga_islands_english_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.`paiute_tonga_tonga_islands_english_pipeline` is a English model originally trained by jcole333.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/paiute_tonga_tonga_islands_english_pipeline_en_5.5.0_3.0_1725544756382.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/paiute_tonga_tonga_islands_english_pipeline_en_5.5.0_3.0_1725544756382.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("paiute_tonga_tonga_islands_english_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("paiute_tonga_tonga_islands_english_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|paiute_tonga_tonga_islands_english_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|533.1 MB|
+
+## References
+
+https://huggingface.co/jcole333/paiute-to-en
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-05-qa_synth_data_with_unanswerable_23_aug_xlm_fnetune_1_0_en.md b/docs/_posts/ahmedlone127/2024-09-05-qa_synth_data_with_unanswerable_23_aug_xlm_fnetune_1_0_en.md
new file mode 100644
index 00000000000000..8bf4d0eff21d04
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-05-qa_synth_data_with_unanswerable_23_aug_xlm_fnetune_1_0_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English qa_synth_data_with_unanswerable_23_aug_xlm_fnetune_1_0 XlmRoBertaForQuestionAnswering from am-infoweb
+author: John Snow Labs
+name: qa_synth_data_with_unanswerable_23_aug_xlm_fnetune_1_0
+date: 2024-09-05
+tags: [en, open_source, onnx, question_answering, xlm_roberta]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`qa_synth_data_with_unanswerable_23_aug_xlm_fnetune_1_0` is a English model originally trained by am-infoweb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/qa_synth_data_with_unanswerable_23_aug_xlm_fnetune_1_0_en_5.5.0_3.0_1725571224249.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/qa_synth_data_with_unanswerable_23_aug_xlm_fnetune_1_0_en_5.5.0_3.0_1725571224249.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|qa_synth_data_with_unanswerable_23_aug_xlm_fnetune_1_0|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|803.6 MB|
+
+## References
+
+https://huggingface.co/am-infoweb/QA_SYNTH_DATA_WITH_UNANSWERABLE_23_AUG_xlm_FNETUNE_1.0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-05-roberta_base_1b_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-05-roberta_base_1b_2_pipeline_en.md
new file mode 100644
index 00000000000000..30df45491beb0e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-05-roberta_base_1b_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_1b_2_pipeline pipeline RoBertaEmbeddings from nyu-mll
+author: John Snow Labs
+name: roberta_base_1b_2_pipeline
+date: 2024-09-05
+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_1b_2_pipeline` is a English model originally trained by nyu-mll.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_1b_2_pipeline_en_5.5.0_3.0_1725572103141.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_1b_2_pipeline_en_5.5.0_3.0_1725572103141.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_1b_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_1b_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_1b_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|296.2 MB|
+
+## References
+
+https://huggingface.co/nyu-mll/roberta-base-1B-2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-05-roberta_base_epoch_75_en.md b/docs/_posts/ahmedlone127/2024-09-05-roberta_base_epoch_75_en.md
new file mode 100644
index 00000000000000..a83440e60441af
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-05-roberta_base_epoch_75_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_epoch_75 RoBertaEmbeddings from yanaiela
+author: John Snow Labs
+name: roberta_base_epoch_75
+date: 2024-09-05
+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_75` is a English model originally trained by yanaiela.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_75_en_5.5.0_3.0_1725577515198.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_75_en_5.5.0_3.0_1725577515198.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_simlm_base_msmarco|
+|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/intfloat/simlm-base-msmarco
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-05-stego_classifier_checkpoint_epoch_70_2024_07_26_16_03_28_en.md b/docs/_posts/ahmedlone127/2024-09-05-stego_classifier_checkpoint_epoch_70_2024_07_26_16_03_28_en.md
new file mode 100644
index 00000000000000..395fc52a48b072
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-05-stego_classifier_checkpoint_epoch_70_2024_07_26_16_03_28_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English stego_classifier_checkpoint_epoch_70_2024_07_26_16_03_28 DistilBertForSequenceClassification from jvelja
+author: John Snow Labs
+name: stego_classifier_checkpoint_epoch_70_2024_07_26_16_03_28
+date: 2024-09-05
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_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_70_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_70_2024_07_26_16_03_28_en_5.5.0_3.0_1725580111329.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_70_2024_07_26_16_03_28_en_5.5.0_3.0_1725580111329.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|translation_model_hansollll|
+|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/Hansollll/translation_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-05-tuning_lr_2e_05_wd_0_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-05-tuning_lr_2e_05_wd_0_1_pipeline_en.md
new file mode 100644
index 00000000000000..6627e03ab812eb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-05-tuning_lr_2e_05_wd_0_1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English tuning_lr_2e_05_wd_0_1_pipeline pipeline DistilBertForSequenceClassification from ash-akjp-ga
+author: John Snow Labs
+name: tuning_lr_2e_05_wd_0_1_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.`tuning_lr_2e_05_wd_0_1_pipeline` is a English model originally trained by ash-akjp-ga.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tuning_lr_2e_05_wd_0_1_pipeline_en_5.5.0_3.0_1725580395747.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tuning_lr_2e_05_wd_0_1_pipeline_en_5.5.0_3.0_1725580395747.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tuning_lr_2e_05_wd_0_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tuning_lr_2e_05_wd_0_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tuning_lr_2e_05_wd_0_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/ash-akjp-ga/tuning_lr_2e-05_wd_0.1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-05-wmdp_classifier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-05-wmdp_classifier_pipeline_en.md
new file mode 100644
index 00000000000000..7b33b833c3ce04
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-05-wmdp_classifier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English wmdp_classifier_pipeline pipeline RoBertaForSequenceClassification from chrisliu298
+author: John Snow Labs
+name: wmdp_classifier_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 RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`wmdp_classifier_pipeline` is a English model originally trained by chrisliu298.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/wmdp_classifier_pipeline_en_5.5.0_3.0_1725541552257.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/wmdp_classifier_pipeline_en_5.5.0_3.0_1725541552257.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("wmdp_classifier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("wmdp_classifier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|wmdp_classifier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|454.0 MB|
+
+## References
+
+https://huggingface.co/chrisliu298/wmdp_classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-05-xlm_pretrain_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-05-xlm_pretrain_pipeline_en.md
new file mode 100644
index 00000000000000..49a2ff032f8c3c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-05-xlm_pretrain_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_pretrain_pipeline pipeline XlmRoBertaEmbeddings from hadifar
+author: John Snow Labs
+name: xlm_pretrain_pipeline
+date: 2024-09-05
+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 XlmRoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_pretrain_pipeline` is a English model originally trained by hadifar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_pretrain_pipeline_en_5.5.0_3.0_1725531718832.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_pretrain_pipeline_en_5.5.0_3.0_1725531718832.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_pretrain_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_pretrain_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_pretrain_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/hadifar/xlm_pretrain
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-05-xlm_roberta_base_squad2_finetuned_squad_vnktrmnb_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-05-xlm_roberta_base_squad2_finetuned_squad_vnktrmnb_pipeline_en.md
new file mode 100644
index 00000000000000..c6618a305ce8da
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-05-xlm_roberta_base_squad2_finetuned_squad_vnktrmnb_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English xlm_roberta_base_squad2_finetuned_squad_vnktrmnb_pipeline pipeline XlmRoBertaForQuestionAnswering from vnktrmnb
+author: John Snow Labs
+name: xlm_roberta_base_squad2_finetuned_squad_vnktrmnb_pipeline
+date: 2024-09-05
+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 XlmRoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_squad2_finetuned_squad_vnktrmnb_pipeline` is a English model originally trained by vnktrmnb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_squad2_finetuned_squad_vnktrmnb_pipeline_en_5.5.0_3.0_1725567935930.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_squad2_finetuned_squad_vnktrmnb_pipeline_en_5.5.0_3.0_1725567935930.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_squad2_finetuned_squad_vnktrmnb_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_squad2_finetuned_squad_vnktrmnb_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_squad2_finetuned_squad_vnktrmnb_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|878.3 MB|
+
+## References
+
+https://huggingface.co/vnktrmnb/xlm-roberta-base-squad2-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- XlmRoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-05-xlm_roberta_qa_autonlp_more_fine_tune_24465520_26265908_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-05-xlm_roberta_qa_autonlp_more_fine_tune_24465520_26265908_pipeline_en.md
new file mode 100644
index 00000000000000..b4a0ce10b39968
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-05-xlm_roberta_qa_autonlp_more_fine_tune_24465520_26265908_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English xlm_roberta_qa_autonlp_more_fine_tune_24465520_26265908_pipeline pipeline XlmRoBertaForQuestionAnswering from teacookies
+author: John Snow Labs
+name: xlm_roberta_qa_autonlp_more_fine_tune_24465520_26265908_pipeline
+date: 2024-09-05
+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 XlmRoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_qa_autonlp_more_fine_tune_24465520_26265908_pipeline` is a English model originally trained by teacookies.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_qa_autonlp_more_fine_tune_24465520_26265908_pipeline_en_5.5.0_3.0_1725571127293.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_qa_autonlp_more_fine_tune_24465520_26265908_pipeline_en_5.5.0_3.0_1725571127293.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_qa_autonlp_more_fine_tune_24465520_26265908_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_qa_autonlp_more_fine_tune_24465520_26265908_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_qa_autonlp_more_fine_tune_24465520_26265908_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|888.2 MB|
+
+## References
+
+https://huggingface.co/teacookies/autonlp-more_fine_tune_24465520-26265908
+
+## Included Models
+
+- MultiDocumentAssembler
+- XlmRoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-05-xlm_roberta_qa_autonlp_roberta_base_squad2_24465519_en.md b/docs/_posts/ahmedlone127/2024-09-05-xlm_roberta_qa_autonlp_roberta_base_squad2_24465519_en.md
new file mode 100644
index 00000000000000..4e0a374780be12
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-05-xlm_roberta_qa_autonlp_roberta_base_squad2_24465519_en.md
@@ -0,0 +1,106 @@
+---
+layout: model
+title: English XlmRoBertaForQuestionAnswering (from teacookies)
+author: John Snow Labs
+name: xlm_roberta_qa_autonlp_roberta_base_squad2_24465519
+date: 2024-09-05
+tags: [en, open_source, question_answering, xlmroberta, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForQuestionAnswering
+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. `autonlp-roberta-base-squad2-24465519` is a English model originally trained by `teacookies`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_qa_autonlp_roberta_base_squad2_24465519_en_5.5.0_3.0_1725571433857.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_qa_autonlp_roberta_base_squad2_24465519_en_5.5.0_3.0_1725571433857.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"])
+
+spanClassifier = XlmRoBertaForQuestionAnswering.pretrained("xlm_roberta_qa_autonlp_roberta_base_squad2_24465519","en") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer") \
+.setCaseSensitive(True)
+
+pipeline = Pipeline().setStages([
+document_assembler,
+spanClassifier
+])
+
+example = spark.createDataFrame([["What's my name?", "My name is Clara and I live in Berkeley."]]).toDF("question", "context")
+
+result = pipeline.fit(example).transform(example)
+```
+```scala
+val document = new MultiDocumentAssembler()
+.setInputCols(Array("question", "context"))
+.setOutputCols(Array("document_question", "document_context"))
+
+val spanClassifier = XlmRoBertaForQuestionAnswering
+.pretrained("xlm_roberta_qa_autonlp_roberta_base_squad2_24465519","en")
+.setInputCols(Array("document_question", "document_context"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+.setMaxSentenceLength(512)
+
+val pipeline = new Pipeline().setStages(Array(document, spanClassifier))
+
+val example = Seq(
+("Where was John Lenon born?", "John Lenon was born in London and lived in Paris. My name is Sarah and I live in London."),
+("What's my name?", "My name is Clara and I live in Berkeley."))
+.toDF("question", "context")
+
+val result = pipeline.fit(example).transform(example)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("en.answer_question.squadv2.xlm_roberta.base_24465519.by_teacookies").predict("""What's my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_qa_autonlp_roberta_base_squad2_24465519|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|887.3 MB|
+
+## References
+
+References
+
+- https://huggingface.co/teacookies/autonlp-roberta-base-squad2-24465519
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-acarisbert_distilbert_en.md b/docs/_posts/ahmedlone127/2024-09-06-acarisbert_distilbert_en.md
new file mode 100644
index 00000000000000..218149b3dbc893
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-acarisbert_distilbert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English acarisbert_distilbert DistilBertForSequenceClassification from ongknsro
+author: John Snow Labs
+name: acarisbert_distilbert
+date: 2024-09-06
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`acarisbert_distilbert` is a English model originally trained by ongknsro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/acarisbert_distilbert_en_5.5.0_3.0_1725608442187.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/acarisbert_distilbert_en_5.5.0_3.0_1725608442187.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|address_extraction|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|tr|
+|Size:|412.4 MB|
+
+## References
+
+https://huggingface.co/nextgeo/address-extraction
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-all_mpnet_base_v2__tweet_eval_emotion__classifier_en.md b/docs/_posts/ahmedlone127/2024-09-06-all_mpnet_base_v2__tweet_eval_emotion__classifier_en.md
new file mode 100644
index 00000000000000..aeb6b7098756df
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-all_mpnet_base_v2__tweet_eval_emotion__classifier_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English all_mpnet_base_v2__tweet_eval_emotion__classifier MPNetForSequenceClassification from florentgbelidji
+author: John Snow Labs
+name: all_mpnet_base_v2__tweet_eval_emotion__classifier
+date: 2024-09-06
+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.`all_mpnet_base_v2__tweet_eval_emotion__classifier` is a English model originally trained by florentgbelidji.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_mpnet_base_v2__tweet_eval_emotion__classifier_en_5.5.0_3.0_1725655745861.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_mpnet_base_v2__tweet_eval_emotion__classifier_en_5.5.0_3.0_1725655745861.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__tweet_eval_emotion__classifier|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.3 MB|
+
+## References
+
+https://huggingface.co/florentgbelidji/all-mpnet-base-v2__tweet_eval_emotion__classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-all_mpnet_base_v2_fine_tuned_epochs_8_binhcode25_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-06-all_mpnet_base_v2_fine_tuned_epochs_8_binhcode25_pipeline_en.md
new file mode 100644
index 00000000000000..9aaad9511c1f1d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-all_mpnet_base_v2_fine_tuned_epochs_8_binhcode25_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English all_mpnet_base_v2_fine_tuned_epochs_8_binhcode25_pipeline pipeline MPNetEmbeddings from binhcode25
+author: John Snow Labs
+name: all_mpnet_base_v2_fine_tuned_epochs_8_binhcode25_pipeline
+date: 2024-09-06
+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.`all_mpnet_base_v2_fine_tuned_epochs_8_binhcode25_pipeline` is a English model originally trained by binhcode25.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_mpnet_base_v2_fine_tuned_epochs_8_binhcode25_pipeline_en_5.5.0_3.0_1725595467546.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_mpnet_base_v2_fine_tuned_epochs_8_binhcode25_pipeline_en_5.5.0_3.0_1725595467546.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("all_mpnet_base_v2_fine_tuned_epochs_8_binhcode25_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("all_mpnet_base_v2_fine_tuned_epochs_8_binhcode25_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_mpnet_base_v2_fine_tuned_epochs_8_binhcode25_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/binhcode25/all-mpnet-base-v2-fine-tuned-epochs-8
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-bert_base_german_dbmdz_cased_de.md b/docs/_posts/ahmedlone127/2024-09-06-bert_base_german_dbmdz_cased_de.md
new file mode 100644
index 00000000000000..eca19afb4c7218
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-bert_base_german_dbmdz_cased_de.md
@@ -0,0 +1,92 @@
+---
+layout: model
+title: German bert_base_german_dbmdz_cased BertEmbeddings from huggingface
+author: John Snow Labs
+name: bert_base_german_dbmdz_cased
+date: 2024-09-06
+tags: [bert, de, open_source, fill_mask, onnx]
+task: Embeddings
+language: de
+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_german_dbmdz_cased` is a German model originally trained by huggingface.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_german_dbmdz_cased_de_5.5.0_3.0_1725614665202.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_german_dbmdz_cased_de_5.5.0_3.0_1725614665202.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_contracts|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|en|
+|Size:|407.1 MB|
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-bert_finetuned_ner_t3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-06-bert_finetuned_ner_t3_pipeline_en.md
new file mode 100644
index 00000000000000..54f56304439658
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-bert_finetuned_ner_t3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_finetuned_ner_t3_pipeline pipeline DistilBertForTokenClassification from avi10
+author: John Snow Labs
+name: bert_finetuned_ner_t3_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.`bert_finetuned_ner_t3_pipeline` is a English model originally trained by avi10.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_t3_pipeline_en_5.5.0_3.0_1725654062702.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_t3_pipeline_en_5.5.0_3.0_1725654062702.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finetuned_ner_t3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finetuned_ner_t3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_t3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/avi10/bert-finetuned-ner-T3
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-burmese_awesome_model_gamino_en.md b/docs/_posts/ahmedlone127/2024-09-06-burmese_awesome_model_gamino_en.md
new file mode 100644
index 00000000000000..12426fed2882d7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-burmese_awesome_model_gamino_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_gamino DistilBertForSequenceClassification from gamino
+author: John Snow Labs
+name: burmese_awesome_model_gamino
+date: 2024-09-06
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_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_gamino` is a English model originally trained by gamino.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_gamino_en_5.5.0_3.0_1725608321223.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_gamino_en_5.5.0_3.0_1725608321223.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_farfalla|
+|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/farfalla/my_awesome_qa_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-burmese_awesome_qa_model_jennydqmm_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-06-burmese_awesome_qa_model_jennydqmm_pipeline_en.md
new file mode 100644
index 00000000000000..292137e70e1cbc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-burmese_awesome_qa_model_jennydqmm_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_jennydqmm_pipeline pipeline DistilBertForQuestionAnswering from JennyDQMM
+author: John Snow Labs
+name: burmese_awesome_qa_model_jennydqmm_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.`burmese_awesome_qa_model_jennydqmm_pipeline` is a English model originally trained by JennyDQMM.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_jennydqmm_pipeline_en_5.5.0_3.0_1725652320536.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_jennydqmm_pipeline_en_5.5.0_3.0_1725652320536.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_jennydqmm_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_qa_model_jennydqmm_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_jennydqmm_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/JennyDQMM/my_awesome_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-burmese_awesome_qa_model_walter133_en.md b/docs/_posts/ahmedlone127/2024-09-06-burmese_awesome_qa_model_walter133_en.md
new file mode 100644
index 00000000000000..bfc5b488a404da
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-burmese_awesome_qa_model_walter133_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_walter133 DistilBertForQuestionAnswering from walter133
+author: John Snow Labs
+name: burmese_awesome_qa_model_walter133
+date: 2024-09-06
+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_walter133` is a English model originally trained by walter133.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_walter133_en_5.5.0_3.0_1725621819651.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_walter133_en_5.5.0_3.0_1725621819651.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_walter133|
+|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/walter133/my_awesome_qa_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-burmese_awesome_wnut_model_studentmsd1_en.md b/docs/_posts/ahmedlone127/2024-09-06-burmese_awesome_wnut_model_studentmsd1_en.md
new file mode 100644
index 00000000000000..331284d60fbc9e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-burmese_awesome_wnut_model_studentmsd1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_studentmsd1 DistilBertForTokenClassification from studentmsd1
+author: John Snow Labs
+name: burmese_awesome_wnut_model_studentmsd1
+date: 2024-09-06
+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_model_studentmsd1` is a English model originally trained by studentmsd1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_studentmsd1_en_5.5.0_3.0_1725599660761.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_studentmsd1_en_5.5.0_3.0_1725599660761.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_model_studentmsd1|
+|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/studentmsd1/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-burmese_awesome_wnut_model_yannik_646_en.md b/docs/_posts/ahmedlone127/2024-09-06-burmese_awesome_wnut_model_yannik_646_en.md
new file mode 100644
index 00000000000000..5d06aa3fc8b1fd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-burmese_awesome_wnut_model_yannik_646_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_yannik_646 DistilBertForTokenClassification from yannik-646
+author: John Snow Labs
+name: burmese_awesome_wnut_model_yannik_646
+date: 2024-09-06
+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_model_yannik_646` is a English model originally trained by yannik-646.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_yannik_646_en_5.5.0_3.0_1725598974654.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_yannik_646_en_5.5.0_3.0_1725598974654.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_model_yannik_646|
+|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/yannik-646/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-burmese_qa_model_parisaabbasi_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-06-burmese_qa_model_parisaabbasi_pipeline_en.md
new file mode 100644
index 00000000000000..29ebc7ccb888b2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-burmese_qa_model_parisaabbasi_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_qa_model_parisaabbasi_pipeline pipeline DistilBertForQuestionAnswering from ParisaAbbasi
+author: John Snow Labs
+name: burmese_qa_model_parisaabbasi_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.`burmese_qa_model_parisaabbasi_pipeline` is a English model originally trained by ParisaAbbasi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_qa_model_parisaabbasi_pipeline_en_5.5.0_3.0_1725652669853.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_qa_model_parisaabbasi_pipeline_en_5.5.0_3.0_1725652669853.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_qa_model_parisaabbasi_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_qa_model_parisaabbasi_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_qa_model_parisaabbasi_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ParisaAbbasi/my_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-classifier__generated_data_only__uncertaintydetection_albert_en.md b/docs/_posts/ahmedlone127/2024-09-06-classifier__generated_data_only__uncertaintydetection_albert_en.md
new file mode 100644
index 00000000000000..9e2a0dbf041482
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-classifier__generated_data_only__uncertaintydetection_albert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English classifier__generated_data_only__uncertaintydetection_albert AlbertForSequenceClassification from yevhenkost
+author: John Snow Labs
+name: classifier__generated_data_only__uncertaintydetection_albert
+date: 2024-09-06
+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__uncertaintydetection_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__uncertaintydetection_albert_en_5.5.0_3.0_1725662081837.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/classifier__generated_data_only__uncertaintydetection_albert_en_5.5.0_3.0_1725662081837.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|classifier__generated_data_only__uncertaintydetection_albert|
+|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/yevhenkost/classifier__generated_data_only__uncertaintydetection_albert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-clip_8_model_en.md b/docs/_posts/ahmedlone127/2024-09-06-clip_8_model_en.md
new file mode 100644
index 00000000000000..0481a00dcd54ca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-clip_8_model_en.md
@@ -0,0 +1,120 @@
+---
+layout: model
+title: English clip_8_model CLIPForZeroShotClassification from shaunster
+author: John Snow Labs
+name: clip_8_model
+date: 2024-09-06
+tags: [en, open_source, onnx, zero_shot, clip, image]
+task: Zero-Shot Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: CLIPForZeroShotClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained CLIPForZeroShotClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`clip_8_model` is a English model originally trained by shaunster.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clip_8_model_en_5.5.0_3.0_1725649949708.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clip_8_model_en_5.5.0_3.0_1725649949708.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+imageDF = spark.read \
+ .format("image") \
+ .option("dropInvalid", value = True) \
+ .load("src/test/resources/image/")
+
+candidateLabels = [
+ "a photo of a bird",
+ "a photo of a cat",
+ "a photo of a dog",
+ "a photo of a hen",
+ "a photo of a hippo",
+ "a photo of a room",
+ "a photo of a tractor",
+ "a photo of an ostrich",
+ "a photo of an ox"]
+
+ImageAssembler = ImageAssembler() \
+ .setInputCol("image") \
+ .setOutputCol("image_assembler")
+
+imageClassifier = CLIPForZeroShotClassification.pretrained("clip_8_model","en") \
+ .setInputCols(["image_assembler"]) \
+ .setOutputCol("label") \
+ .setCandidateLabels(candidateLabels)
+
+pipeline = Pipeline().setStages([ImageAssembler, imageClassifier])
+pipelineModel = pipeline.fit(imageDF)
+pipelineDF = pipelineModel.transform(imageDF)
+
+
+```
+```scala
+
+
+val imageDF = ResourceHelper.spark.read
+ .format("image")
+ .option("dropInvalid", value = true)
+ .load("src/test/resources/image/")
+
+val candidateLabels = Array(
+ "a photo of a bird",
+ "a photo of a cat",
+ "a photo of a dog",
+ "a photo of a hen",
+ "a photo of a hippo",
+ "a photo of a room",
+ "a photo of a tractor",
+ "a photo of an ostrich",
+ "a photo of an ox")
+
+val imageAssembler = new ImageAssembler()
+ .setInputCol("image")
+ .setOutputCol("image_assembler")
+
+val imageClassifier = CLIPForZeroShotClassification.pretrained("clip_8_model","en") \
+ .setInputCols(Array("image_assembler")) \
+ .setOutputCol("label") \
+ .setCandidateLabels(candidateLabels)
+
+val pipeline = new Pipeline().setStages(Array(imageAssembler, imageClassifier))
+val pipelineModel = pipeline.fit(imageDF)
+val pipelineDF = pipelineModel.transform(imageDF)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clip_8_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[image_assembler]|
+|Output Labels:|[label]|
+|Language:|en|
+|Size:|567.5 MB|
+
+## References
+
+https://huggingface.co/shaunster/clip_8_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-clip_base_10240_checkpoint350_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-06-clip_base_10240_checkpoint350_pipeline_en.md
new file mode 100644
index 00000000000000..f3319069b49477
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-clip_base_10240_checkpoint350_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English clip_base_10240_checkpoint350_pipeline pipeline CLIPForZeroShotClassification from gowitheflowlab
+author: John Snow Labs
+name: clip_base_10240_checkpoint350_pipeline
+date: 2024-09-06
+tags: [en, open_source, pipeline, onnx]
+task: Zero-Shot Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained CLIPForZeroShotClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`clip_base_10240_checkpoint350_pipeline` is a English model originally trained by gowitheflowlab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clip_base_10240_checkpoint350_pipeline_en_5.5.0_3.0_1725650017253.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clip_base_10240_checkpoint350_pipeline_en_5.5.0_3.0_1725650017253.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("clip_base_10240_checkpoint350_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("clip_base_10240_checkpoint350_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clip_base_10240_checkpoint350_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|509.8 MB|
+
+## References
+
+https://huggingface.co/gowitheflowlab/clip-base-10240-checkpoint350
+
+## Included Models
+
+- ImageAssembler
+- CLIPForZeroShotClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-clip_gagan3012_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-06-clip_gagan3012_pipeline_en.md
new file mode 100644
index 00000000000000..14410cc7a7e2c5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-clip_gagan3012_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English clip_gagan3012_pipeline pipeline CLIPForZeroShotClassification from gagan3012
+author: John Snow Labs
+name: clip_gagan3012_pipeline
+date: 2024-09-06
+tags: [en, open_source, pipeline, onnx]
+task: Zero-Shot Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained CLIPForZeroShotClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`clip_gagan3012_pipeline` is a English model originally trained by gagan3012.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clip_gagan3012_pipeline_en_5.5.0_3.0_1725650132392.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clip_gagan3012_pipeline_en_5.5.0_3.0_1725650132392.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("clip_gagan3012_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("clip_gagan3012_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clip_gagan3012_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|397.5 MB|
+
+## References
+
+https://huggingface.co/gagan3012/clip
+
+## Included Models
+
+- ImageAssembler
+- CLIPForZeroShotClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-cuad_distil_parties_dates_law_08_18_indonesian_question1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-06-cuad_distil_parties_dates_law_08_18_indonesian_question1_pipeline_en.md
new file mode 100644
index 00000000000000..73328949a2fa4a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-cuad_distil_parties_dates_law_08_18_indonesian_question1_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English cuad_distil_parties_dates_law_08_18_indonesian_question1_pipeline pipeline DistilBertForQuestionAnswering from saraks
+author: John Snow Labs
+name: cuad_distil_parties_dates_law_08_18_indonesian_question1_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.`cuad_distil_parties_dates_law_08_18_indonesian_question1_pipeline` is a English model originally trained by saraks.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cuad_distil_parties_dates_law_08_18_indonesian_question1_pipeline_en_5.5.0_3.0_1725654758952.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cuad_distil_parties_dates_law_08_18_indonesian_question1_pipeline_en_5.5.0_3.0_1725654758952.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cuad_distil_parties_dates_law_08_18_indonesian_question1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cuad_distil_parties_dates_law_08_18_indonesian_question1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cuad_distil_parties_dates_law_08_18_indonesian_question1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/saraks/cuad-distil-parties-dates-law-08-18-id-question1
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-danish_distilbert_en.md b/docs/_posts/ahmedlone127/2024-09-06-danish_distilbert_en.md
new file mode 100644
index 00000000000000..45ae0b9d9bcc5c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-danish_distilbert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English danish_distilbert DistilBertEmbeddings from gc394
+author: John Snow Labs
+name: danish_distilbert
+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.`danish_distilbert` is a English model originally trained by gc394.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/danish_distilbert_en_5.5.0_3.0_1725639386091.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/danish_distilbert_en_5.5.0_3.0_1725639386091.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|
+|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/gc394/da_distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-delivery_balaned_distilbert_base_uncased_v3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-06-delivery_balaned_distilbert_base_uncased_v3_pipeline_en.md
new file mode 100644
index 00000000000000..be32d91ca99fc1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-delivery_balaned_distilbert_base_uncased_v3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English delivery_balaned_distilbert_base_uncased_v3_pipeline pipeline DistilBertForSequenceClassification from chuuhtetnaing
+author: John Snow Labs
+name: delivery_balaned_distilbert_base_uncased_v3_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.`delivery_balaned_distilbert_base_uncased_v3_pipeline` is a English model originally trained by chuuhtetnaing.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/delivery_balaned_distilbert_base_uncased_v3_pipeline_en_5.5.0_3.0_1725608157967.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/delivery_balaned_distilbert_base_uncased_v3_pipeline_en_5.5.0_3.0_1725608157967.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("delivery_balaned_distilbert_base_uncased_v3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("delivery_balaned_distilbert_base_uncased_v3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|delivery_balaned_distilbert_base_uncased_v3_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/delivery-balaned-distilbert-base-uncased-v3
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-distibert_ner_en.md b/docs/_posts/ahmedlone127/2024-09-06-distibert_ner_en.md
new file mode 100644
index 00000000000000..45c8bee378fa18
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-distibert_ner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distibert_ner DistilBertForTokenClassification from satyamrajawat1994
+author: John Snow Labs
+name: distibert_ner
+date: 2024-09-06
+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.`distibert_ner` is a English model originally trained by satyamrajawat1994.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distibert_ner_en_5.5.0_3.0_1725599503152.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distibert_ner_en_5.5.0_3.0_1725599503152.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_ajayrath|
+|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/ajayrath/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-distilbert_base_uncased_finetuned_squad_ajayrath_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-06-distilbert_base_uncased_finetuned_squad_ajayrath_pipeline_en.md
new file mode 100644
index 00000000000000..1072e4f4e6e1b7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-distilbert_base_uncased_finetuned_squad_ajayrath_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_ajayrath_pipeline pipeline DistilBertForQuestionAnswering from ajayrath
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_ajayrath_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_ajayrath_pipeline` is a English model originally trained by ajayrath.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_ajayrath_pipeline_en_5.5.0_3.0_1725654485124.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_ajayrath_pipeline_en_5.5.0_3.0_1725654485124.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_ajayrath_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_ajayrath_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_ajayrath_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/ajayrath/distilbert-base-uncased-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-distilbert_base_uncased_finetuned_squad_d5716d28_ahmed97_en.md b/docs/_posts/ahmedlone127/2024-09-06-distilbert_base_uncased_finetuned_squad_d5716d28_ahmed97_en.md
new file mode 100644
index 00000000000000..d3919acb4f13f8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-distilbert_base_uncased_finetuned_squad_d5716d28_ahmed97_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_d5716d28_ahmed97 DistilBertForQuestionAnswering from Ahmed97
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_d5716d28_ahmed97
+date: 2024-09-06
+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_ahmed97` is a English model originally trained by Ahmed97.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_d5716d28_ahmed97_en_5.5.0_3.0_1725652670662.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_ahmed97_en_5.5.0_3.0_1725652670662.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_ahmed97|
+|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/Ahmed97/distilbert-base-uncased-finetuned-squad-d5716d28
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-distilbert_base_uncased_finetuned_squad_d5716d28_miesnerjacob_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-06-distilbert_base_uncased_finetuned_squad_d5716d28_miesnerjacob_pipeline_en.md
new file mode 100644
index 00000000000000..5e6166a1dfa03e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-distilbert_base_uncased_finetuned_squad_d5716d28_miesnerjacob_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_d5716d28_miesnerjacob_pipeline pipeline DistilBertForQuestionAnswering from miesnerjacob
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_d5716d28_miesnerjacob_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_miesnerjacob_pipeline` is a English model originally trained by miesnerjacob.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_d5716d28_miesnerjacob_pipeline_en_5.5.0_3.0_1725652375322.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_miesnerjacob_pipeline_en_5.5.0_3.0_1725652375322.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_miesnerjacob_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_d5716d28_miesnerjacob_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_d5716d28_miesnerjacob_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/miesnerjacob/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_finetuned_ai4privacy_v2_en.md b/docs/_posts/ahmedlone127/2024-09-06-distilbert_finetuned_ai4privacy_v2_en.md
new file mode 100644
index 00000000000000..4e56083278ae99
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-distilbert_finetuned_ai4privacy_v2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_finetuned_ai4privacy_v2 DistilBertForTokenClassification from Isotonic
+author: John Snow Labs
+name: distilbert_finetuned_ai4privacy_v2
+date: 2024-09-06
+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_finetuned_ai4privacy_v2` is a English model originally trained by Isotonic.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_ai4privacy_v2_en_5.5.0_3.0_1725599257071.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_ai4privacy_v2_en_5.5.0_3.0_1725599257071.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_joyraj|
+|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/Joyraj/dummy-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-english_german_translation_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-06-english_german_translation_pipeline_en.md
new file mode 100644
index 00000000000000..211027b17d6945
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-english_german_translation_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English english_german_translation_pipeline pipeline MarianTransformer from alina1997
+author: John Snow Labs
+name: english_german_translation_pipeline
+date: 2024-09-06
+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_german_translation_pipeline` is a English model originally trained by alina1997.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/english_german_translation_pipeline_en_5.5.0_3.0_1725636484615.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/english_german_translation_pipeline_en_5.5.0_3.0_1725636484615.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("english_german_translation_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("english_german_translation_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|english_german_translation_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|500.0 MB|
+
+## References
+
+https://huggingface.co/alina1997/en_de_translation
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-extractive_question_answering_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-06-extractive_question_answering_pipeline_en.md
new file mode 100644
index 00000000000000..72d3373f267a7b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-extractive_question_answering_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English extractive_question_answering_pipeline pipeline DistilBertForQuestionAnswering from autoevaluate
+author: John Snow Labs
+name: extractive_question_answering_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.`extractive_question_answering_pipeline` is a English model originally trained by autoevaluate.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/extractive_question_answering_pipeline_en_5.5.0_3.0_1725622126545.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/extractive_question_answering_pipeline_en_5.5.0_3.0_1725622126545.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("extractive_question_answering_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("extractive_question_answering_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|extractive_question_answering_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/autoevaluate/extractive-question-answering
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-filtered_lr_2e_5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-06-filtered_lr_2e_5_pipeline_en.md
new file mode 100644
index 00000000000000..95f484cad45f47
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-filtered_lr_2e_5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English filtered_lr_2e_5_pipeline pipeline DistilBertForTokenClassification from Gkumi
+author: John Snow Labs
+name: filtered_lr_2e_5_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.`filtered_lr_2e_5_pipeline` is a English model originally trained by Gkumi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/filtered_lr_2e_5_pipeline_en_5.5.0_3.0_1725653303863.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/filtered_lr_2e_5_pipeline_en_5.5.0_3.0_1725653303863.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("filtered_lr_2e_5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("filtered_lr_2e_5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|filtered_lr_2e_5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/Gkumi/filtered-lr-2e-5
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-finance_bearish_bullish_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-06-finance_bearish_bullish_pipeline_en.md
new file mode 100644
index 00000000000000..fac78a90a65edb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-finance_bearish_bullish_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finance_bearish_bullish_pipeline pipeline DistilBertForSequenceClassification from ldh243
+author: John Snow Labs
+name: finance_bearish_bullish_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.`finance_bearish_bullish_pipeline` is a English model originally trained by ldh243.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finance_bearish_bullish_pipeline_en_5.5.0_3.0_1725607964230.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finance_bearish_bullish_pipeline_en_5.5.0_3.0_1725607964230.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finance_bearish_bullish_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finance_bearish_bullish_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finance_bearish_bullish_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ldh243/finance-bearish-bullish
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-finetuned_qa_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-06-finetuned_qa_model_pipeline_en.md
new file mode 100644
index 00000000000000..5b02a80624a426
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-finetuned_qa_model_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English finetuned_qa_model_pipeline pipeline DistilBertForQuestionAnswering from yileitu
+author: John Snow Labs
+name: finetuned_qa_model_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.`finetuned_qa_model_pipeline` is a English model originally trained by yileitu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_qa_model_pipeline_en_5.5.0_3.0_1725621501707.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_qa_model_pipeline_en_5.5.0_3.0_1725621501707.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuned_qa_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuned_qa_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_qa_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/yileitu/finetuned_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-indo_aryan_xlm_r_base_gu.md b/docs/_posts/ahmedlone127/2024-09-06-indo_aryan_xlm_r_base_gu.md
new file mode 100644
index 00000000000000..a1e7f3b7721a5c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-indo_aryan_xlm_r_base_gu.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Gujarati indo_aryan_xlm_r_base XlmRoBertaEmbeddings from ashwani-tanwar
+author: John Snow Labs
+name: indo_aryan_xlm_r_base
+date: 2024-09-06
+tags: [gu, open_source, onnx, embeddings, xlm_roberta]
+task: Embeddings
+language: gu
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`indo_aryan_xlm_r_base` is a Gujarati model originally trained by ashwani-tanwar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/indo_aryan_xlm_r_base_gu_5.5.0_3.0_1725626772214.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/indo_aryan_xlm_r_base_gu_5.5.0_3.0_1725626772214.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|indo_aryan_xlm_r_base|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[xlm_roberta]|
+|Language:|gu|
+|Size:|651.9 MB|
+
+## References
+
+https://huggingface.co/ashwani-tanwar/Indo-Aryan-XLM-R-Base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-italian_legal_bert_pipeline_it.md b/docs/_posts/ahmedlone127/2024-09-06-italian_legal_bert_pipeline_it.md
new file mode 100644
index 00000000000000..849b1aaf5608ef
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-italian_legal_bert_pipeline_it.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Italian italian_legal_bert_pipeline pipeline BertEmbeddings from dlicari
+author: John Snow Labs
+name: italian_legal_bert_pipeline
+date: 2024-09-06
+tags: [it, open_source, pipeline, onnx]
+task: Embeddings
+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 BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`italian_legal_bert_pipeline` is a Italian model originally trained by dlicari.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/italian_legal_bert_pipeline_it_5.5.0_3.0_1725614952150.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/italian_legal_bert_pipeline_it_5.5.0_3.0_1725614952150.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("italian_legal_bert_pipeline", lang = "it")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("italian_legal_bert_pipeline", lang = "it")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|italian_legal_bert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|it|
+|Size:|408.9 MB|
+
+## References
+
+https://huggingface.co/dlicari/Italian-Legal-BERT
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-marathi_marh_val_g_pipeline_mr.md b/docs/_posts/ahmedlone127/2024-09-06-marathi_marh_val_g_pipeline_mr.md
new file mode 100644
index 00000000000000..fb21dad9f487a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-marathi_marh_val_g_pipeline_mr.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Marathi marathi_marh_val_g_pipeline pipeline WhisperForCTC from simran14
+author: John Snow Labs
+name: marathi_marh_val_g_pipeline
+date: 2024-09-06
+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_val_g_pipeline` is a Marathi model originally trained by simran14.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marathi_marh_val_g_pipeline_mr_5.5.0_3.0_1725647534801.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marathi_marh_val_g_pipeline_mr_5.5.0_3.0_1725647534801.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("marathi_marh_val_g_pipeline", lang = "mr")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marathi_marh_val_g_pipeline", lang = "mr")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marathi_marh_val_g_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-val-g
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_danivicen_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-06-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_danivicen_pipeline_en.md
new file mode 100644
index 00000000000000..23b2ad3e043dba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_danivicen_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_danivicen_pipeline pipeline MarianTransformer from danivicen
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_danivicen_pipeline
+date: 2024-09-06
+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_danivicen_pipeline` is a English model originally trained by danivicen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_danivicen_pipeline_en_5.5.0_3.0_1725636156423.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_danivicen_pipeline_en_5.5.0_3.0_1725636156423.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_danivicen_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_danivicen_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_danivicen_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|508.7 MB|
+
+## References
+
+https://huggingface.co/danivicen/marian-finetuned-kde4-en-to-fr-accelerate
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-marian_finetuned_kde4_english_tonga_tonga_islands_french_indah1_en.md b/docs/_posts/ahmedlone127/2024-09-06-marian_finetuned_kde4_english_tonga_tonga_islands_french_indah1_en.md
new file mode 100644
index 00000000000000..61ccedbe542862
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-marian_finetuned_kde4_english_tonga_tonga_islands_french_indah1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_indah1 MarianTransformer from Indah1
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_indah1
+date: 2024-09-06
+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_indah1` is a English model originally trained by Indah1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_indah1_en_5.5.0_3.0_1725634958522.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_indah1_en_5.5.0_3.0_1725634958522.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_indah1|
+|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/Indah1/marian-finetuned-kde4-en-to-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-marianmix_english_chinese_10_deskdown_en.md b/docs/_posts/ahmedlone127/2024-09-06-marianmix_english_chinese_10_deskdown_en.md
new file mode 100644
index 00000000000000..9023bfe5464645
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-marianmix_english_chinese_10_deskdown_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English marianmix_english_chinese_10_deskdown MarianTransformer from DeskDown
+author: John Snow Labs
+name: marianmix_english_chinese_10_deskdown
+date: 2024-09-06
+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.`marianmix_english_chinese_10_deskdown` is a English model originally trained by DeskDown.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marianmix_english_chinese_10_deskdown_en_5.5.0_3.0_1725635010988.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marianmix_english_chinese_10_deskdown_en_5.5.0_3.0_1725635010988.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marianmix_english_chinese_10_deskdown|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|751.1 MB|
+
+## References
+
+https://huggingface.co/DeskDown/MarianMix_en-zh-10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-marianmt_finetuned_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-06-marianmt_finetuned_pipeline_en.md
new file mode 100644
index 00000000000000..f83afa5471a79a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-marianmt_finetuned_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English marianmt_finetuned_pipeline pipeline MarianTransformer from SFZheng7
+author: John Snow Labs
+name: marianmt_finetuned_pipeline
+date: 2024-09-06
+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_pipeline` is a English model originally trained by SFZheng7.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marianmt_finetuned_pipeline_en_5.5.0_3.0_1725636342867.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marianmt_finetuned_pipeline_en_5.5.0_3.0_1725636342867.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("marianmt_finetuned_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marianmt_finetuned_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marianmt_finetuned_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|541.5 MB|
+
+## References
+
+https://huggingface.co/SFZheng7/MarianMT-Finetuned
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-mdeberta_v3_base_mqnli_en.md b/docs/_posts/ahmedlone127/2024-09-06-mdeberta_v3_base_mqnli_en.md
new file mode 100644
index 00000000000000..05ee1fcc3b0510
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-mdeberta_v3_base_mqnli_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English mdeberta_v3_base_mqnli DeBertaForSequenceClassification from SachinPatel248
+author: John Snow Labs
+name: mdeberta_v3_base_mqnli
+date: 2024-09-06
+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_mqnli` is a English model originally trained by SachinPatel248.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mdeberta_v3_base_mqnli_en_5.5.0_3.0_1725590322502.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mdeberta_v3_base_mqnli_en_5.5.0_3.0_1725590322502.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_mqnli|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|955.4 MB|
+
+## References
+
+https://huggingface.co/SachinPatel248/mdeberta-v3-base-mqnli
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-mo_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-06-mo_pipeline_en.md
new file mode 100644
index 00000000000000..4f6be5ed2af7b4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-mo_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English mo_pipeline pipeline DistilBertEmbeddings from Dinithi
+author: John Snow Labs
+name: mo_pipeline
+date: 2024-09-06
+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.`mo_pipeline` is a English model originally trained by Dinithi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mo_pipeline_en_5.5.0_3.0_1725665057742.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mo_pipeline_en_5.5.0_3.0_1725665057742.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mo_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mo_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mo_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Dinithi/Mo
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-model_zip_en.md b/docs/_posts/ahmedlone127/2024-09-06-model_zip_en.md
new file mode 100644
index 00000000000000..987422dddc2a46
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-model_zip_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English model_zip DistilBertEmbeddings from mal-sh
+author: John Snow Labs
+name: model_zip
+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.`model_zip` is a English model originally trained by mal-sh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_zip_en_5.5.0_3.0_1725664918810.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_zip_en_5.5.0_3.0_1725664918810.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|model_zip|
+|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/mal-sh/model.zip
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-mpnet_80k_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-06-mpnet_80k_pipeline_en.md
new file mode 100644
index 00000000000000..1e1e25d38e37fe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-mpnet_80k_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English mpnet_80k_pipeline pipeline MPNetEmbeddings from heka-ai
+author: John Snow Labs
+name: mpnet_80k_pipeline
+date: 2024-09-06
+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.`mpnet_80k_pipeline` is a English model originally trained by heka-ai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mpnet_80k_pipeline_en_5.5.0_3.0_1725595586544.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mpnet_80k_pipeline_en_5.5.0_3.0_1725595586544.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mpnet_80k_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mpnet_80k_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mpnet_80k_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.0 MB|
+
+## References
+
+https://huggingface.co/heka-ai/mpnet-80k
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-nepal_bhasa_dummy_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-06-nepal_bhasa_dummy_model_pipeline_en.md
new file mode 100644
index 00000000000000..871bb7643a8919
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-nepal_bhasa_dummy_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English nepal_bhasa_dummy_model_pipeline pipeline CamemBertEmbeddings from gulabpatel
+author: John Snow Labs
+name: nepal_bhasa_dummy_model_pipeline
+date: 2024-09-06
+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.`nepal_bhasa_dummy_model_pipeline` is a English model originally trained by gulabpatel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nepal_bhasa_dummy_model_pipeline_en_5.5.0_3.0_1725633052786.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nepal_bhasa_dummy_model_pipeline_en_5.5.0_3.0_1725633052786.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nepal_bhasa_dummy_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nepal_bhasa_dummy_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nepal_bhasa_dummy_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/gulabpatel/new-dummy-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- CamemBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-ner_model_cwchang_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-06-ner_model_cwchang_pipeline_en.md
new file mode 100644
index 00000000000000..11514449d5170c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-ner_model_cwchang_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ner_model_cwchang_pipeline pipeline DistilBertForTokenClassification from cwchang
+author: John Snow Labs
+name: ner_model_cwchang_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.`ner_model_cwchang_pipeline` is a English model originally trained by cwchang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_model_cwchang_pipeline_en_5.5.0_3.0_1725653995321.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_model_cwchang_pipeline_en_5.5.0_3.0_1725653995321.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ner_model_cwchang_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ner_model_cwchang_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_model_cwchang_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|505.5 MB|
+
+## References
+
+https://huggingface.co/cwchang/ner_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-ope_bert_v2_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-06-ope_bert_v2_1_pipeline_en.md
new file mode 100644
index 00000000000000..b7c13553e778e2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-ope_bert_v2_1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ope_bert_v2_1_pipeline pipeline BertEmbeddings from RyotaroOKabe
+author: John Snow Labs
+name: ope_bert_v2_1_pipeline
+date: 2024-09-06
+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.`ope_bert_v2_1_pipeline` is a English model originally trained by RyotaroOKabe.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ope_bert_v2_1_pipeline_en_5.5.0_3.0_1725614473293.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ope_bert_v2_1_pipeline_en_5.5.0_3.0_1725614473293.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ope_bert_v2_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ope_bert_v2_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ope_bert_v2_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.3 MB|
+
+## References
+
+https://huggingface.co/RyotaroOKabe/ope_bert_v2.1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-opus_maltese_english_chinese_finetuned_english_tonga_tonga_islands_chinese_galgame_en.md b/docs/_posts/ahmedlone127/2024-09-06-opus_maltese_english_chinese_finetuned_english_tonga_tonga_islands_chinese_galgame_en.md
new file mode 100644
index 00000000000000..ac3eba6901d748
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-opus_maltese_english_chinese_finetuned_english_tonga_tonga_islands_chinese_galgame_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_english_chinese_finetuned_english_tonga_tonga_islands_chinese_galgame MarianTransformer from huhu233
+author: John Snow Labs
+name: opus_maltese_english_chinese_finetuned_english_tonga_tonga_islands_chinese_galgame
+date: 2024-09-06
+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_chinese_finetuned_english_tonga_tonga_islands_chinese_galgame` is a English model originally trained by huhu233.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_chinese_finetuned_english_tonga_tonga_islands_chinese_galgame_en_5.5.0_3.0_1725635978257.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_chinese_finetuned_english_tonga_tonga_islands_chinese_galgame_en_5.5.0_3.0_1725635978257.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_chinese_finetuned_english_tonga_tonga_islands_chinese_galgame|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|540.7 MB|
+
+## References
+
+https://huggingface.co/huhu233/opus-mt-en-zh-finetuned-en-to-zh-galgame
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-opus_maltese_english_multiple_languages_finetuned_english_tonga_tonga_islands_thai_pong_en.md b/docs/_posts/ahmedlone127/2024-09-06-opus_maltese_english_multiple_languages_finetuned_english_tonga_tonga_islands_thai_pong_en.md
new file mode 100644
index 00000000000000..cdb6f7fc5ed251
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-opus_maltese_english_multiple_languages_finetuned_english_tonga_tonga_islands_thai_pong_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_english_multiple_languages_finetuned_english_tonga_tonga_islands_thai_pong MarianTransformer from pong
+author: John Snow Labs
+name: opus_maltese_english_multiple_languages_finetuned_english_tonga_tonga_islands_thai_pong
+date: 2024-09-06
+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_multiple_languages_finetuned_english_tonga_tonga_islands_thai_pong` is a English model originally trained by pong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_multiple_languages_finetuned_english_tonga_tonga_islands_thai_pong_en_5.5.0_3.0_1725635704566.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_multiple_languages_finetuned_english_tonga_tonga_islands_thai_pong_en_5.5.0_3.0_1725635704566.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_multiple_languages_finetuned_english_tonga_tonga_islands_thai_pong|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|530.2 MB|
+
+## References
+
+https://huggingface.co/pong/opus-mt-en-mul-finetuned-en-to-th
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-opus_maltese_russian_english_end_tonga_tonga_islands_end_russian_tonga_tonga_islands_english_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-06-opus_maltese_russian_english_end_tonga_tonga_islands_end_russian_tonga_tonga_islands_english_pipeline_en.md
new file mode 100644
index 00000000000000..9704c83c5d4ddb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-opus_maltese_russian_english_end_tonga_tonga_islands_end_russian_tonga_tonga_islands_english_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_russian_english_end_tonga_tonga_islands_end_russian_tonga_tonga_islands_english_pipeline pipeline MarianTransformer from Dentikka
+author: John Snow Labs
+name: opus_maltese_russian_english_end_tonga_tonga_islands_end_russian_tonga_tonga_islands_english_pipeline
+date: 2024-09-06
+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_end_tonga_tonga_islands_end_russian_tonga_tonga_islands_english_pipeline` is a English model originally trained by Dentikka.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_russian_english_end_tonga_tonga_islands_end_russian_tonga_tonga_islands_english_pipeline_en_5.5.0_3.0_1725636334648.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_russian_english_end_tonga_tonga_islands_end_russian_tonga_tonga_islands_english_pipeline_en_5.5.0_3.0_1725636334648.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_end_tonga_tonga_islands_end_russian_tonga_tonga_islands_english_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_russian_english_end_tonga_tonga_islands_end_russian_tonga_tonga_islands_english_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_russian_english_end_tonga_tonga_islands_end_russian_tonga_tonga_islands_english_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|525.7 MB|
+
+## References
+
+https://huggingface.co/Dentikka/opus-mt-ru-en-end-to-end-ru-to-en
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-politics_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-06-politics_pipeline_en.md
new file mode 100644
index 00000000000000..679b9a837527a0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-politics_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English politics_pipeline pipeline RoBertaEmbeddings from launch
+author: John Snow Labs
+name: politics_pipeline
+date: 2024-09-06
+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.`politics_pipeline` is a English model originally trained by launch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/politics_pipeline_en_5.5.0_3.0_1725661233849.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/politics_pipeline_en_5.5.0_3.0_1725661233849.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("politics_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("politics_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|politics_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.3 MB|
+
+## References
+
+https://huggingface.co/launch/POLITICS
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-qa_synth_data_with_unanswerable_23_aug_xlm_roberta_base_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-06-qa_synth_data_with_unanswerable_23_aug_xlm_roberta_base_pipeline_en.md
new file mode 100644
index 00000000000000..7006610b48a66a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-qa_synth_data_with_unanswerable_23_aug_xlm_roberta_base_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English qa_synth_data_with_unanswerable_23_aug_xlm_roberta_base_pipeline pipeline XlmRoBertaForQuestionAnswering from am-infoweb
+author: John Snow Labs
+name: qa_synth_data_with_unanswerable_23_aug_xlm_roberta_base_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 XlmRoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`qa_synth_data_with_unanswerable_23_aug_xlm_roberta_base_pipeline` is a English model originally trained by am-infoweb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/qa_synth_data_with_unanswerable_23_aug_xlm_roberta_base_pipeline_en_5.5.0_3.0_1725640391344.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/qa_synth_data_with_unanswerable_23_aug_xlm_roberta_base_pipeline_en_5.5.0_3.0_1725640391344.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("qa_synth_data_with_unanswerable_23_aug_xlm_roberta_base_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("qa_synth_data_with_unanswerable_23_aug_xlm_roberta_base_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|qa_synth_data_with_unanswerable_23_aug_xlm_roberta_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|801.1 MB|
+
+## References
+
+https://huggingface.co/am-infoweb/QA_SYNTH_DATA_WITH_UNANSWERABLE_23_AUG_xlm_roberta-base
+
+## Included Models
+
+- MultiDocumentAssembler
+- XlmRoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-qa_synthetic_data_only_18_aug_xlm_roberta_base_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-06-qa_synthetic_data_only_18_aug_xlm_roberta_base_pipeline_en.md
new file mode 100644
index 00000000000000..d0cff2c5809176
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-qa_synthetic_data_only_18_aug_xlm_roberta_base_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English qa_synthetic_data_only_18_aug_xlm_roberta_base_pipeline pipeline XlmRoBertaForQuestionAnswering from am-infoweb
+author: John Snow Labs
+name: qa_synthetic_data_only_18_aug_xlm_roberta_base_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 XlmRoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`qa_synthetic_data_only_18_aug_xlm_roberta_base_pipeline` is a English model originally trained by am-infoweb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/qa_synthetic_data_only_18_aug_xlm_roberta_base_pipeline_en_5.5.0_3.0_1725598531976.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/qa_synthetic_data_only_18_aug_xlm_roberta_base_pipeline_en_5.5.0_3.0_1725598531976.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("qa_synthetic_data_only_18_aug_xlm_roberta_base_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("qa_synthetic_data_only_18_aug_xlm_roberta_base_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|qa_synthetic_data_only_18_aug_xlm_roberta_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|802.1 MB|
+
+## References
+
+https://huggingface.co/am-infoweb/QA_SYNTHETIC_DATA_ONLY_18_AUG_xlm-roberta-base
+
+## Included Models
+
+- MultiDocumentAssembler
+- XlmRoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-question_answer_thirdeyedata_en.md b/docs/_posts/ahmedlone127/2024-09-06-question_answer_thirdeyedata_en.md
new file mode 100644
index 00000000000000..fb34d5010fe966
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-question_answer_thirdeyedata_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English question_answer_thirdeyedata DistilBertForQuestionAnswering from ThirdEyeData
+author: John Snow Labs
+name: question_answer_thirdeyedata
+date: 2024-09-06
+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_answer_thirdeyedata` is a English model originally trained by ThirdEyeData.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/question_answer_thirdeyedata_en_5.5.0_3.0_1725621832036.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/question_answer_thirdeyedata_en_5.5.0_3.0_1725621832036.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|question_answer_thirdeyedata|
+|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/ThirdEyeData/Question_Answer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-rotten_tomatoes_microsoft_deberta_v3_base_seed_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-06-rotten_tomatoes_microsoft_deberta_v3_base_seed_2_pipeline_en.md
new file mode 100644
index 00000000000000..7840f0ab643032
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-rotten_tomatoes_microsoft_deberta_v3_base_seed_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English rotten_tomatoes_microsoft_deberta_v3_base_seed_2_pipeline pipeline DeBertaForSequenceClassification from utahnlp
+author: John Snow Labs
+name: rotten_tomatoes_microsoft_deberta_v3_base_seed_2_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 DeBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rotten_tomatoes_microsoft_deberta_v3_base_seed_2_pipeline` is a English model originally trained by utahnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rotten_tomatoes_microsoft_deberta_v3_base_seed_2_pipeline_en_5.5.0_3.0_1725588897696.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rotten_tomatoes_microsoft_deberta_v3_base_seed_2_pipeline_en_5.5.0_3.0_1725588897696.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("rotten_tomatoes_microsoft_deberta_v3_base_seed_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("rotten_tomatoes_microsoft_deberta_v3_base_seed_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rotten_tomatoes_microsoft_deberta_v3_base_seed_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|577.9 MB|
+
+## References
+
+https://huggingface.co/utahnlp/rotten_tomatoes_microsoft_deberta-v3-base_seed-2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DeBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-sst2_microsoft_deberta_v3_base_seed_2_en.md b/docs/_posts/ahmedlone127/2024-09-06-sst2_microsoft_deberta_v3_base_seed_2_en.md
new file mode 100644
index 00000000000000..fc74b03b7b354e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-sst2_microsoft_deberta_v3_base_seed_2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sst2_microsoft_deberta_v3_base_seed_2 DeBertaForSequenceClassification from utahnlp
+author: John Snow Labs
+name: sst2_microsoft_deberta_v3_base_seed_2
+date: 2024-09-06
+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.`sst2_microsoft_deberta_v3_base_seed_2` is a English model originally trained by utahnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sst2_microsoft_deberta_v3_base_seed_2_en_5.5.0_3.0_1725609729613.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sst2_microsoft_deberta_v3_base_seed_2_en_5.5.0_3.0_1725609729613.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|testarbaraz|
+|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/kevinbram/testarbaraz
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-text_complexity_roberta_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-06-text_complexity_roberta_pipeline_en.md
new file mode 100644
index 00000000000000..a7d912057f72a0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-text_complexity_roberta_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English text_complexity_roberta_pipeline pipeline XlmRoBertaForTokenClassification from k0nv1ct
+author: John Snow Labs
+name: text_complexity_roberta_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 XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`text_complexity_roberta_pipeline` is a English model originally trained by k0nv1ct.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/text_complexity_roberta_pipeline_en_5.5.0_3.0_1725591938952.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/text_complexity_roberta_pipeline_en_5.5.0_3.0_1725591938952.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("text_complexity_roberta_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("text_complexity_roberta_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|text_complexity_roberta_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|805.9 MB|
+
+## References
+
+https://huggingface.co/k0nv1ct/text-complexity-roberta
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-torch_distilbert_policies_comparison_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-06-torch_distilbert_policies_comparison_pipeline_en.md
new file mode 100644
index 00000000000000..abac95bdbcca39
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-torch_distilbert_policies_comparison_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English torch_distilbert_policies_comparison_pipeline pipeline DistilBertForSequenceClassification from rubivivi
+author: John Snow Labs
+name: torch_distilbert_policies_comparison_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.`torch_distilbert_policies_comparison_pipeline` is a English model originally trained by rubivivi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/torch_distilbert_policies_comparison_pipeline_en_5.5.0_3.0_1725607851230.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/torch_distilbert_policies_comparison_pipeline_en_5.5.0_3.0_1725607851230.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("torch_distilbert_policies_comparison_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("torch_distilbert_policies_comparison_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|torch_distilbert_policies_comparison_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/rubivivi/torch_distilbert_policies_comparison
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-trained_english_en.md b/docs/_posts/ahmedlone127/2024-09-06-trained_english_en.md
new file mode 100644
index 00000000000000..9f9bba32c0f28a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-trained_english_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English trained_english DistilBertForTokenClassification from annamariagnat
+author: John Snow Labs
+name: trained_english
+date: 2024-09-06
+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.`trained_english` is a English model originally trained by annamariagnat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/trained_english_en_5.5.0_3.0_1725599514241.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/trained_english_en_5.5.0_3.0_1725599514241.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_german_primeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|de|
+|Size:|187.5 MB|
+
+## References
+
+https://huggingface.co/primeline/whisper-tiny-german
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-xlm_roberta_base_finetuned_panx_french_transformersbook_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-06-xlm_roberta_base_finetuned_panx_french_transformersbook_pipeline_en.md
new file mode 100644
index 00000000000000..6f92c1897b0bb8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-xlm_roberta_base_finetuned_panx_french_transformersbook_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_transformersbook_pipeline pipeline XlmRoBertaForTokenClassification from transformersbook
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_transformersbook_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 XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_transformersbook_pipeline` is a English model originally trained by transformersbook.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_transformersbook_pipeline_en_5.5.0_3.0_1725658018558.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_transformersbook_pipeline_en_5.5.0_3.0_1725658018558.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_transformersbook_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_transformersbook_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_transformersbook_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|840.9 MB|
+
+## References
+
+https://huggingface.co/transformersbook/xlm-roberta-base-finetuned-panx-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-xlm_roberta_base_finetuned_rugo_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-06-xlm_roberta_base_finetuned_rugo_pipeline_en.md
new file mode 100644
index 00000000000000..14927c07290b19
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-xlm_roberta_base_finetuned_rugo_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_rugo_pipeline pipeline XlmRoBertaEmbeddings from rugo
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_rugo_pipeline
+date: 2024-09-06
+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 XlmRoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_rugo_pipeline` is a English model originally trained by rugo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_rugo_pipeline_en_5.5.0_3.0_1725596585073.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_rugo_pipeline_en_5.5.0_3.0_1725596585073.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_rugo_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_rugo_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_rugo_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|987.4 MB|
+
+## References
+
+https://huggingface.co/rugo/xlm-roberta-base-finetuned
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-xlm_roberta_base_hungarian_ner_huner_pipeline_hu.md b/docs/_posts/ahmedlone127/2024-09-06-xlm_roberta_base_hungarian_ner_huner_pipeline_hu.md
new file mode 100644
index 00000000000000..1c4202eeedc051
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-xlm_roberta_base_hungarian_ner_huner_pipeline_hu.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Hungarian xlm_roberta_base_hungarian_ner_huner_pipeline pipeline XlmRoBertaForTokenClassification from EvanD
+author: John Snow Labs
+name: xlm_roberta_base_hungarian_ner_huner_pipeline
+date: 2024-09-06
+tags: [hu, open_source, pipeline, onnx]
+task: Named Entity 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 XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_hungarian_ner_huner_pipeline` is a Hungarian model originally trained by EvanD.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_hungarian_ner_huner_pipeline_hu_5.5.0_3.0_1725656559694.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_hungarian_ner_huner_pipeline_hu_5.5.0_3.0_1725656559694.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_hungarian_ner_huner_pipeline", lang = "hu")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_hungarian_ner_huner_pipeline", lang = "hu")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_hungarian_ner_huner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|hu|
+|Size:|784.0 MB|
+
+## References
+
+https://huggingface.co/EvanD/xlm-roberta-base-hungarian-ner-huner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-xlm_roberta_base_russian_sentiment_rusentiment_ru.md b/docs/_posts/ahmedlone127/2024-09-06-xlm_roberta_base_russian_sentiment_rusentiment_ru.md
new file mode 100644
index 00000000000000..43b96cd851750d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-xlm_roberta_base_russian_sentiment_rusentiment_ru.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Russian xlm_roberta_base_russian_sentiment_rusentiment XlmRoBertaForSequenceClassification from sismetanin
+author: John Snow Labs
+name: xlm_roberta_base_russian_sentiment_rusentiment
+date: 2024-09-06
+tags: [ru, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: ru
+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_russian_sentiment_rusentiment` is a Russian model originally trained by sismetanin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_russian_sentiment_rusentiment_ru_5.5.0_3.0_1725617348477.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_russian_sentiment_rusentiment_ru_5.5.0_3.0_1725617348477.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_russian_sentiment_rusentiment|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|ru|
+|Size:|799.7 MB|
+
+## References
+
+https://huggingface.co/sismetanin/xlm_roberta_base-ru-sentiment-rusentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-xlm_roberta_qa_Part_2_XLM_Model_E1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-06-xlm_roberta_qa_Part_2_XLM_Model_E1_pipeline_en.md
new file mode 100644
index 00000000000000..64d729fbeeb0d6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-xlm_roberta_qa_Part_2_XLM_Model_E1_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English xlm_roberta_qa_Part_2_XLM_Model_E1_pipeline pipeline XlmRoBertaForQuestionAnswering from horsbug98
+author: John Snow Labs
+name: xlm_roberta_qa_Part_2_XLM_Model_E1_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 XlmRoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_qa_Part_2_XLM_Model_E1_pipeline` is a English model originally trained by horsbug98.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_qa_Part_2_XLM_Model_E1_pipeline_en_5.5.0_3.0_1725640624793.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_qa_Part_2_XLM_Model_E1_pipeline_en_5.5.0_3.0_1725640624793.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_qa_Part_2_XLM_Model_E1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_qa_Part_2_XLM_Model_E1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_qa_Part_2_XLM_Model_E1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|814.1 MB|
+
+## References
+
+https://huggingface.co/horsbug98/Part_2_XLM_Model_E1
+
+## Included Models
+
+- MultiDocumentAssembler
+- XlmRoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-xlmroberta_ner_base_finetuned_ner_swahili_pipeline_sw.md b/docs/_posts/ahmedlone127/2024-09-06-xlmroberta_ner_base_finetuned_ner_swahili_pipeline_sw.md
new file mode 100644
index 00000000000000..10759b76ce866d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-xlmroberta_ner_base_finetuned_ner_swahili_pipeline_sw.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Swahili (macrolanguage) xlmroberta_ner_base_finetuned_ner_swahili_pipeline pipeline XlmRoBertaForTokenClassification from mbeukman
+author: John Snow Labs
+name: xlmroberta_ner_base_finetuned_ner_swahili_pipeline
+date: 2024-09-06
+tags: [sw, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: sw
+edition: Spark 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_base_finetuned_ner_swahili_pipeline` is a Swahili (macrolanguage) model originally trained by mbeukman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlmroberta_ner_base_finetuned_ner_swahili_pipeline_sw_5.5.0_3.0_1725657551804.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlmroberta_ner_base_finetuned_ner_swahili_pipeline_sw_5.5.0_3.0_1725657551804.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlmroberta_ner_base_finetuned_ner_swahili_pipeline", lang = "sw")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlmroberta_ner_base_finetuned_ner_swahili_pipeline", lang = "sw")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlmroberta_ner_base_finetuned_ner_swahili_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|sw|
+|Size:|776.7 MB|
+
+## References
+
+https://huggingface.co/mbeukman/xlm-roberta-base-finetuned-ner-swahili
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-action_policy_plans_classifier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-action_policy_plans_classifier_pipeline_en.md
new file mode 100644
index 00000000000000..262dd6f307b609
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-action_policy_plans_classifier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English action_policy_plans_classifier_pipeline pipeline MPNetForSequenceClassification from ppsingh
+author: John Snow Labs
+name: action_policy_plans_classifier_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 MPNetForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`action_policy_plans_classifier_pipeline` is a English model originally trained by ppsingh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/action_policy_plans_classifier_pipeline_en_5.5.0_3.0_1725733479711.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/action_policy_plans_classifier_pipeline_en_5.5.0_3.0_1725733479711.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("action_policy_plans_classifier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("action_policy_plans_classifier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|action_policy_plans_classifier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.2 MB|
+
+## References
+
+https://huggingface.co/ppsingh/action-policy-plans-classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- MPNetForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-adress_parser_model_epochs_en.md b/docs/_posts/ahmedlone127/2024-09-07-adress_parser_model_epochs_en.md
new file mode 100644
index 00000000000000..0115dd66a1310d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-adress_parser_model_epochs_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English adress_parser_model_epochs DistilBertForTokenClassification from ManuelMM
+author: John Snow Labs
+name: adress_parser_model_epochs
+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.`adress_parser_model_epochs` is a English model originally trained by ManuelMM.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/adress_parser_model_epochs_en_5.5.0_3.0_1725730526577.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/adress_parser_model_epochs_en_5.5.0_3.0_1725730526577.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|adress_parser_model_epochs|
+|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/ManuelMM/adress_parser_model_epochs
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-anus_wanus_panus_ranus_en.md b/docs/_posts/ahmedlone127/2024-09-07-anus_wanus_panus_ranus_en.md
new file mode 100644
index 00000000000000..71097e34c5bb12
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-anus_wanus_panus_ranus_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English anus_wanus_panus_ranus DistilBertForSequenceClassification from namebobb
+author: John Snow Labs
+name: anus_wanus_panus_ranus
+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.`anus_wanus_panus_ranus` is a English model originally trained by namebobb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/anus_wanus_panus_ranus_en_5.5.0_3.0_1725674939870.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/anus_wanus_panus_ranus_en_5.5.0_3.0_1725674939870.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|anus_wanus_panus_ranus|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/namebobb/anus-wanus-panus-ranus
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-bert_base_cased_ner_conll2003_en.md b/docs/_posts/ahmedlone127/2024-09-07-bert_base_cased_ner_conll2003_en.md
new file mode 100644
index 00000000000000..1fd71afebe68aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-bert_base_cased_ner_conll2003_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_cased_ner_conll2003 BertForTokenClassification from andi611
+author: John Snow Labs
+name: bert_base_cased_ner_conll2003
+date: 2024-09-07
+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_cased_ner_conll2003` is a English model originally trained by andi611.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_ner_conll2003_en_5.5.0_3.0_1725726776945.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_ner_conll2003_en_5.5.0_3.0_1725726776945.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_ner_conll2003|
+|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/andi611/bert-base-cased-ner-conll2003
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-bert_base_dutch_cased_finetuned_mbert_finetuned_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-bert_base_dutch_cased_finetuned_mbert_finetuned_ner_pipeline_en.md
new file mode 100644
index 00000000000000..c9a64f5dfa7c5c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-bert_base_dutch_cased_finetuned_mbert_finetuned_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_dutch_cased_finetuned_mbert_finetuned_ner_pipeline pipeline DistilBertForTokenClassification from sindhujag26
+author: John Snow Labs
+name: bert_base_dutch_cased_finetuned_mbert_finetuned_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 DistilBertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_dutch_cased_finetuned_mbert_finetuned_ner_pipeline` is a English model originally trained by sindhujag26.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_dutch_cased_finetuned_mbert_finetuned_ner_pipeline_en_5.5.0_3.0_1725734181855.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_dutch_cased_finetuned_mbert_finetuned_ner_pipeline_en_5.5.0_3.0_1725734181855.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_dutch_cased_finetuned_mbert_finetuned_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_dutch_cased_finetuned_mbert_finetuned_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_dutch_cased_finetuned_mbert_finetuned_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/sindhujag26/bert-base-dutch-cased-finetuned-mBERT-finetuned-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-bert_base_turkish_uncased_ner_pipeline_tr.md b/docs/_posts/ahmedlone127/2024-09-07-bert_base_turkish_uncased_ner_pipeline_tr.md
new file mode 100644
index 00000000000000..96456f68218f4f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-bert_base_turkish_uncased_ner_pipeline_tr.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Turkish bert_base_turkish_uncased_ner_pipeline pipeline BertForTokenClassification from saribasmetehan
+author: John Snow Labs
+name: bert_base_turkish_uncased_ner_pipeline
+date: 2024-09-07
+tags: [tr, open_source, pipeline, onnx]
+task: Named Entity 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 BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_turkish_uncased_ner_pipeline` is a Turkish model originally trained by saribasmetehan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_turkish_uncased_ner_pipeline_tr_5.5.0_3.0_1725726110412.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_turkish_uncased_ner_pipeline_tr_5.5.0_3.0_1725726110412.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_turkish_uncased_ner_pipeline", lang = "tr")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_turkish_uncased_ner_pipeline", lang = "tr")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_turkish_uncased_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|tr|
+|Size:|412.6 MB|
+
+## References
+
+https://huggingface.co/saribasmetehan/bert-base-turkish-uncased-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-bert_finetuned_ner_skyimple_en.md b/docs/_posts/ahmedlone127/2024-09-07-bert_finetuned_ner_skyimple_en.md
new file mode 100644
index 00000000000000..815789cb4f2635
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-bert_finetuned_ner_skyimple_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_finetuned_ner_skyimple BertForTokenClassification from skyimple
+author: John Snow Labs
+name: bert_finetuned_ner_skyimple
+date: 2024-09-07
+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_skyimple` is a English model originally trained by skyimple.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_skyimple_en_5.5.0_3.0_1725734811457.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_skyimple_en_5.5.0_3.0_1725734811457.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_chaii|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|886.7 MB|
+
+## References
+
+https://huggingface.co/SmartPy/bert-finetuned-squad-chaii
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-biodivbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-biodivbert_pipeline_en.md
new file mode 100644
index 00000000000000..7cfc45a542aa86
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-biodivbert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English biodivbert_pipeline pipeline BertForTokenClassification from NoYo25
+author: John Snow Labs
+name: biodivbert_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 BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biodivbert_pipeline` is a English model originally trained by NoYo25.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biodivbert_pipeline_en_5.5.0_3.0_1725735191782.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biodivbert_pipeline_en_5.5.0_3.0_1725735191782.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("biodivbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("biodivbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biodivbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.6 MB|
+
+## References
+
+https://huggingface.co/NoYo25/BiodivBERT
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-brwac_v1_2__checkpoint_last_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-brwac_v1_2__checkpoint_last_pipeline_en.md
new file mode 100644
index 00000000000000..f0266678081287
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-brwac_v1_2__checkpoint_last_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English brwac_v1_2__checkpoint_last_pipeline pipeline RoBertaEmbeddings from eduagarcia-temp
+author: John Snow Labs
+name: brwac_v1_2__checkpoint_last_pipeline
+date: 2024-09-07
+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_last_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_last_pipeline_en_5.5.0_3.0_1725716536315.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/brwac_v1_2__checkpoint_last_pipeline_en_5.5.0_3.0_1725716536315.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_last_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("brwac_v1_2__checkpoint_last_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|brwac_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/brwac_v1_2__checkpoint_last
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-bsc_bio_ehr_spanish_carmen_farmaco_es.md b/docs/_posts/ahmedlone127/2024-09-07-bsc_bio_ehr_spanish_carmen_farmaco_es.md
new file mode 100644
index 00000000000000..1f8239ce79bfad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-bsc_bio_ehr_spanish_carmen_farmaco_es.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Castilian, Spanish bsc_bio_ehr_spanish_carmen_farmaco RoBertaForTokenClassification from BSC-NLP4BIA
+author: John Snow Labs
+name: bsc_bio_ehr_spanish_carmen_farmaco
+date: 2024-09-07
+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_farmaco` 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_farmaco_es_5.5.0_3.0_1725723393534.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bsc_bio_ehr_spanish_carmen_farmaco_es_5.5.0_3.0_1725723393534.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_farmaco|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|es|
+|Size:|438.1 MB|
+
+## References
+
+https://huggingface.co/BSC-NLP4BIA/bsc-bio-ehr-es-carmen-farmaco
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_distil_huner_model_en.md b/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_distil_huner_model_en.md
new file mode 100644
index 00000000000000..b20292ba98026f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_distil_huner_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_distil_huner_model DistilBertForTokenClassification from Balu94pratap
+author: John Snow Labs
+name: burmese_awesome_distil_huner_model
+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_distil_huner_model` is a English model originally trained by Balu94pratap.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_distil_huner_model_en_5.5.0_3.0_1725731017719.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_distil_huner_model_en_5.5.0_3.0_1725731017719.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_distil_huner_model|
+|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/Balu94pratap/my_awesome_distil_huner_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_pec_model2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_pec_model2_pipeline_en.md
new file mode 100644
index 00000000000000..b4af7ec6cbfc9c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_pec_model2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_pec_model2_pipeline pipeline DistilBertForTokenClassification from PaulBin
+author: John Snow Labs
+name: burmese_awesome_pec_model2_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_awesome_pec_model2_pipeline` is a English model originally trained by PaulBin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_pec_model2_pipeline_en_5.5.0_3.0_1725730186036.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_pec_model2_pipeline_en_5.5.0_3.0_1725730186036.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_pec_model2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_pec_model2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_pec_model2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/PaulBin/my_awesome_PEC_model2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_qa_model3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_qa_model3_pipeline_en.md
new file mode 100644
index 00000000000000..7d8f5f610a4d9e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_qa_model3_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_qa_model3_pipeline pipeline DistilBertForQuestionAnswering from jvasdigital
+author: John Snow Labs
+name: burmese_awesome_qa_model3_pipeline
+date: 2024-09-07
+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_model3_pipeline` is a English model originally trained by jvasdigital.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model3_pipeline_en_5.5.0_3.0_1725736365975.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model3_pipeline_en_5.5.0_3.0_1725736365975.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_qa_model3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_qa_model3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/jvasdigital/my_awesome_qa_model3
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_qa_model_alisadavtyan_en.md b/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_qa_model_alisadavtyan_en.md
new file mode 100644
index 00000000000000..b5493f7affc4e6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_qa_model_alisadavtyan_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_alisadavtyan DistilBertForQuestionAnswering from AlisaDavtyan
+author: John Snow Labs
+name: burmese_awesome_qa_model_alisadavtyan
+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_alisadavtyan` is a English model originally trained by AlisaDavtyan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_alisadavtyan_en_5.5.0_3.0_1725735676205.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_alisadavtyan_en_5.5.0_3.0_1725735676205.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_d29|
+|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/D29/my_awesome_qa_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_qa_model_jackyfung00358_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_qa_model_jackyfung00358_pipeline_en.md
new file mode 100644
index 00000000000000..671474c0ec8149
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_qa_model_jackyfung00358_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_jackyfung00358_pipeline pipeline DistilBertForQuestionAnswering from jackyfung00358
+author: John Snow Labs
+name: burmese_awesome_qa_model_jackyfung00358_pipeline
+date: 2024-09-07
+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_jackyfung00358_pipeline` is a English model originally trained by jackyfung00358.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_jackyfung00358_pipeline_en_5.5.0_3.0_1725727384901.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_jackyfung00358_pipeline_en_5.5.0_3.0_1725727384901.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_jackyfung00358_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_qa_model_jackyfung00358_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_jackyfung00358_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/jackyfung00358/my_awesome_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_qa_model_krayray_en.md b/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_qa_model_krayray_en.md
new file mode 100644
index 00000000000000..9da788ccb51160
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_qa_model_krayray_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_krayray DistilBertForQuestionAnswering from KRayRay
+author: John Snow Labs
+name: burmese_awesome_qa_model_krayray
+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_krayray` is a English model originally trained by KRayRay.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_krayray_en_5.5.0_3.0_1725695341018.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_krayray_en_5.5.0_3.0_1725695341018.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_laanhtu|
+|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/laanhtu/my_awesome_qa_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_qa_model_ravinderbrai_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_qa_model_ravinderbrai_pipeline_en.md
new file mode 100644
index 00000000000000..8b62d5edebaa63
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_qa_model_ravinderbrai_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_ravinderbrai_pipeline pipeline DistilBertForQuestionAnswering from ravinderbrai
+author: John Snow Labs
+name: burmese_awesome_qa_model_ravinderbrai_pipeline
+date: 2024-09-07
+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_ravinderbrai_pipeline` is a English model originally trained by ravinderbrai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_ravinderbrai_pipeline_en_5.5.0_3.0_1725722883140.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_ravinderbrai_pipeline_en_5.5.0_3.0_1725722883140.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_ravinderbrai_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_qa_model_ravinderbrai_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_ravinderbrai_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ravinderbrai/my_awesome_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_wnut_all_jgtt_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_wnut_all_jgtt_pipeline_en.md
new file mode 100644
index 00000000000000..6a5053369a7cbb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_wnut_all_jgtt_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_wnut_all_jgtt_pipeline pipeline DistilBertForTokenClassification from gonzalezrostani
+author: John Snow Labs
+name: burmese_awesome_wnut_all_jgtt_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_awesome_wnut_all_jgtt_pipeline` is a English model originally trained by gonzalezrostani.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_all_jgtt_pipeline_en_5.5.0_3.0_1725729676856.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_all_jgtt_pipeline_en_5.5.0_3.0_1725729676856.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_wnut_all_jgtt_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_wnut_all_jgtt_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_all_jgtt_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/gonzalezrostani/my_awesome_wnut_all_JGTt
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_wnut_model_carlonos_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_wnut_model_carlonos_pipeline_en.md
new file mode 100644
index 00000000000000..db39551cb62996
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_wnut_model_carlonos_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_carlonos_pipeline pipeline DistilBertForTokenClassification from Carlonos
+author: John Snow Labs
+name: burmese_awesome_wnut_model_carlonos_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_awesome_wnut_model_carlonos_pipeline` is a English model originally trained by Carlonos.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_carlonos_pipeline_en_5.5.0_3.0_1725739477180.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_carlonos_pipeline_en_5.5.0_3.0_1725739477180.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_wnut_model_carlonos_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_wnut_model_carlonos_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_carlonos_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Carlonos/my_awesome_wnut_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_wnut_model_cc12171_en.md b/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_wnut_model_cc12171_en.md
new file mode 100644
index 00000000000000..31ae173851bd75
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_wnut_model_cc12171_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_cc12171 DistilBertForTokenClassification from CC12171
+author: John Snow Labs
+name: burmese_awesome_wnut_model_cc12171
+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_model_cc12171` is a English model originally trained by CC12171.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_cc12171_en_5.5.0_3.0_1725729879893.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_cc12171_en_5.5.0_3.0_1725729879893.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_model_cc12171|
+|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/CC12171/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_wnut_model_dkababgi_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_wnut_model_dkababgi_pipeline_en.md
new file mode 100644
index 00000000000000..59b126378f57ff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_wnut_model_dkababgi_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_dkababgi_pipeline pipeline DistilBertForTokenClassification from dkababgi
+author: John Snow Labs
+name: burmese_awesome_wnut_model_dkababgi_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_awesome_wnut_model_dkababgi_pipeline` is a English model originally trained by dkababgi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_dkababgi_pipeline_en_5.5.0_3.0_1725730164591.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_dkababgi_pipeline_en_5.5.0_3.0_1725730164591.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_wnut_model_dkababgi_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_wnut_model_dkababgi_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_dkababgi_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/dkababgi/my_awesome_wnut_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_wnut_model_stephen_osullivan_en.md b/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_wnut_model_stephen_osullivan_en.md
new file mode 100644
index 00000000000000..a035651487b8c3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_wnut_model_stephen_osullivan_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_stephen_osullivan DistilBertForTokenClassification from stephen-osullivan
+author: John Snow Labs
+name: burmese_awesome_wnut_model_stephen_osullivan
+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_model_stephen_osullivan` is a English model originally trained by stephen-osullivan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_stephen_osullivan_en_5.5.0_3.0_1725739116012.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_stephen_osullivan_en_5.5.0_3.0_1725739116012.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_model_stephen_osullivan|
+|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/stephen-osullivan/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-burmese_distilbert_model_qaicodes_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-burmese_distilbert_model_qaicodes_pipeline_en.md
new file mode 100644
index 00000000000000..243a40372247bb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-burmese_distilbert_model_qaicodes_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_distilbert_model_qaicodes_pipeline pipeline DistilBertForSequenceClassification from qaicodes
+author: John Snow Labs
+name: burmese_distilbert_model_qaicodes_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_distilbert_model_qaicodes_pipeline` is a English model originally trained by qaicodes.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_distilbert_model_qaicodes_pipeline_en_5.5.0_3.0_1725674400539.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_distilbert_model_qaicodes_pipeline_en_5.5.0_3.0_1725674400539.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_distilbert_model_qaicodes_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_distilbert_model_qaicodes_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_distilbert_model_qaicodes_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/qaicodes/my_distilbert_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-burmese_nmt_model_antaraiiitd_en.md b/docs/_posts/ahmedlone127/2024-09-07-burmese_nmt_model_antaraiiitd_en.md
new file mode 100644
index 00000000000000..cfa013ad6d43f3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-burmese_nmt_model_antaraiiitd_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_nmt_model_antaraiiitd MarianTransformer from AntaraIIITD
+author: John Snow Labs
+name: burmese_nmt_model_antaraiiitd
+date: 2024-09-07
+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.`burmese_nmt_model_antaraiiitd` is a English model originally trained by AntaraIIITD.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_nmt_model_antaraiiitd_en_5.5.0_3.0_1725747904184.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_nmt_model_antaraiiitd_en_5.5.0_3.0_1725747904184.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_nmt_model_antaraiiitd|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|500.2 MB|
+
+## References
+
+https://huggingface.co/AntaraIIITD/my_NMT_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-burmese_pii_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-burmese_pii_model_pipeline_en.md
new file mode 100644
index 00000000000000..fefd00a3deb1df
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-burmese_pii_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_pii_model_pipeline pipeline DistilBertForTokenClassification from shubhamgantayat
+author: John Snow Labs
+name: burmese_pii_model_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_pii_model_pipeline` is a English model originally trained by shubhamgantayat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_pii_model_pipeline_en_5.5.0_3.0_1725739128146.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_pii_model_pipeline_en_5.5.0_3.0_1725739128146.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_pii_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_pii_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_pii_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/shubhamgantayat/my_pii_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-burmese_qa_model_arunkarthik_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-burmese_qa_model_arunkarthik_pipeline_en.md
new file mode 100644
index 00000000000000..191a67ad4611c2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-burmese_qa_model_arunkarthik_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_qa_model_arunkarthik_pipeline pipeline DistilBertForQuestionAnswering from arunkarthik
+author: John Snow Labs
+name: burmese_qa_model_arunkarthik_pipeline
+date: 2024-09-07
+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_qa_model_arunkarthik_pipeline` is a English model originally trained by arunkarthik.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_qa_model_arunkarthik_pipeline_en_5.5.0_3.0_1725746080528.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_qa_model_arunkarthik_pipeline_en_5.5.0_3.0_1725746080528.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_qa_model_arunkarthik_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_qa_model_arunkarthik_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_qa_model_arunkarthik_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/arunkarthik/my_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-burmese_wnut_model_samasedaghat_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-burmese_wnut_model_samasedaghat_pipeline_en.md
new file mode 100644
index 00000000000000..8375f0001964a1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-burmese_wnut_model_samasedaghat_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_wnut_model_samasedaghat_pipeline pipeline DistilBertForTokenClassification from SamaSedaghat
+author: John Snow Labs
+name: burmese_wnut_model_samasedaghat_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_wnut_model_samasedaghat_pipeline` is a English model originally trained by SamaSedaghat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_wnut_model_samasedaghat_pipeline_en_5.5.0_3.0_1725739318598.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_wnut_model_samasedaghat_pipeline_en_5.5.0_3.0_1725739318598.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_wnut_model_samasedaghat_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_wnut_model_samasedaghat_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_wnut_model_samasedaghat_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/SamaSedaghat/my_wnut_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-cat_ner_xlmr_2_en.md b/docs/_posts/ahmedlone127/2024-09-07-cat_ner_xlmr_2_en.md
new file mode 100644
index 00000000000000..bce1953cb39ae4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-cat_ner_xlmr_2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English cat_ner_xlmr_2 XlmRoBertaForTokenClassification from homersimpson
+author: John Snow Labs
+name: cat_ner_xlmr_2
+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.`cat_ner_xlmr_2` is a English model originally trained by homersimpson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cat_ner_xlmr_2_en_5.5.0_3.0_1725705443414.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cat_ner_xlmr_2_en_5.5.0_3.0_1725705443414.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_xlmr_2|
+|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/homersimpson/cat-ner-xlmr-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-cat_sayula_popoluca_spanish_2_en.md b/docs/_posts/ahmedlone127/2024-09-07-cat_sayula_popoluca_spanish_2_en.md
new file mode 100644
index 00000000000000..209e675d3885f0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-cat_sayula_popoluca_spanish_2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English cat_sayula_popoluca_spanish_2 RoBertaForTokenClassification from homersimpson
+author: John Snow Labs
+name: cat_sayula_popoluca_spanish_2
+date: 2024-09-07
+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.`cat_sayula_popoluca_spanish_2` is a English model originally trained by homersimpson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cat_sayula_popoluca_spanish_2_en_5.5.0_3.0_1725724105103.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cat_sayula_popoluca_spanish_2_en_5.5.0_3.0_1725724105103.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_spanish_2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|462.3 MB|
+
+## References
+
+https://huggingface.co/homersimpson/cat-pos-es-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-cat_sayula_popoluca_spanish_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-cat_sayula_popoluca_spanish_2_pipeline_en.md
new file mode 100644
index 00000000000000..194c6e6b78843f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-cat_sayula_popoluca_spanish_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English cat_sayula_popoluca_spanish_2_pipeline pipeline RoBertaForTokenClassification from homersimpson
+author: John Snow Labs
+name: cat_sayula_popoluca_spanish_2_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.`cat_sayula_popoluca_spanish_2_pipeline` is a English model originally trained by homersimpson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cat_sayula_popoluca_spanish_2_pipeline_en_5.5.0_3.0_1725724127105.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cat_sayula_popoluca_spanish_2_pipeline_en_5.5.0_3.0_1725724127105.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cat_sayula_popoluca_spanish_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cat_sayula_popoluca_spanish_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cat_sayula_popoluca_spanish_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|462.3 MB|
+
+## References
+
+https://huggingface.co/homersimpson/cat-pos-es-2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-codebert_small_v2_en.md b/docs/_posts/ahmedlone127/2024-09-07-codebert_small_v2_en.md
new file mode 100644
index 00000000000000..ff55eaf1c9a70e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-codebert_small_v2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English codebert_small_v2 RoBertaEmbeddings from codistai
+author: John Snow Labs
+name: codebert_small_v2
+date: 2024-09-07
+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.`codebert_small_v2` is a English model originally trained by codistai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/codebert_small_v2_en_5.5.0_3.0_1725673142610.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/codebert_small_v2_en_5.5.0_3.0_1725673142610.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ct_kld_xlmr_idkmrc_1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|834.0 MB|
+
+## References
+
+https://huggingface.co/intanm/ct-kld-xlmr-idkmrc-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-ct_kld_xlmr_idkmrc_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-ct_kld_xlmr_idkmrc_1_pipeline_en.md
new file mode 100644
index 00000000000000..0df1ce74263ddc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-ct_kld_xlmr_idkmrc_1_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English ct_kld_xlmr_idkmrc_1_pipeline pipeline XlmRoBertaForQuestionAnswering from intanm
+author: John Snow Labs
+name: ct_kld_xlmr_idkmrc_1_pipeline
+date: 2024-09-07
+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 XlmRoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ct_kld_xlmr_idkmrc_1_pipeline` is a English model originally trained by intanm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ct_kld_xlmr_idkmrc_1_pipeline_en_5.5.0_3.0_1725685743846.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ct_kld_xlmr_idkmrc_1_pipeline_en_5.5.0_3.0_1725685743846.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ct_kld_xlmr_idkmrc_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ct_kld_xlmr_idkmrc_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ct_kld_xlmr_idkmrc_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|834.0 MB|
+
+## References
+
+https://huggingface.co/intanm/ct-kld-xlmr-idkmrc-1
+
+## Included Models
+
+- MultiDocumentAssembler
+- XlmRoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-cuad_distil_governing_law_08_25_v1_en.md b/docs/_posts/ahmedlone127/2024-09-07-cuad_distil_governing_law_08_25_v1_en.md
new file mode 100644
index 00000000000000..a634c976065a96
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-cuad_distil_governing_law_08_25_v1_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English cuad_distil_governing_law_08_25_v1 DistilBertForQuestionAnswering from saraks
+author: John Snow Labs
+name: cuad_distil_governing_law_08_25_v1
+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.`cuad_distil_governing_law_08_25_v1` is a English model originally trained by saraks.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cuad_distil_governing_law_08_25_v1_en_5.5.0_3.0_1725722842059.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cuad_distil_governing_law_08_25_v1_en_5.5.0_3.0_1725722842059.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cuad_distil_governing_law_08_25_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/saraks/cuad-distil-governing_law-08-25-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_detected_jailbreak_en.md b/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_detected_jailbreak_en.md
new file mode 100644
index 00000000000000..5b3cbc1d6e3d25
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_detected_jailbreak_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_detected_jailbreak DistilBertForSequenceClassification from Necent
+author: John Snow Labs
+name: distilbert_base_uncased_detected_jailbreak
+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_base_uncased_detected_jailbreak` is a English model originally trained by Necent.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_detected_jailbreak_en_5.5.0_3.0_1725674621248.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_detected_jailbreak_en_5.5.0_3.0_1725674621248.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_detected_jailbreak|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Necent/distilbert-base-uncased-detected-jailbreak
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_finetuned_emotion_jeremygf_en.md b/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_finetuned_emotion_jeremygf_en.md
new file mode 100644
index 00000000000000..f0fb301a6b15f5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_finetuned_emotion_jeremygf_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_jeremygf DistilBertForSequenceClassification from jeremygf
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_jeremygf
+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_base_uncased_finetuned_emotion_jeremygf` is a English model originally trained by jeremygf.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jeremygf_en_5.5.0_3.0_1725674643485.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_jeremygf_en_5.5.0_3.0_1725674643485.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_jeremygf|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jeremygf/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_finetuned_emotion_sunwoongee_en.md b/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_finetuned_emotion_sunwoongee_en.md
new file mode 100644
index 00000000000000..9c55a49ba6e3db
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_finetuned_emotion_sunwoongee_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_sunwoongee DistilBertForSequenceClassification from sunwoongee
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_sunwoongee
+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_base_uncased_finetuned_emotion_sunwoongee` is a English model originally trained by sunwoongee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sunwoongee_en_5.5.0_3.0_1725674656195.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sunwoongee_en_5.5.0_3.0_1725674656195.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_sunwoongee|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sunwoongee/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_finetuned_emotion_sunwoongee_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_finetuned_emotion_sunwoongee_pipeline_en.md
new file mode 100644
index 00000000000000..7606bcfed887d9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_finetuned_emotion_sunwoongee_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_sunwoongee_pipeline pipeline DistilBertForSequenceClassification from sunwoongee
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_sunwoongee_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.`distilbert_base_uncased_finetuned_emotion_sunwoongee_pipeline` is a English model originally trained by sunwoongee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sunwoongee_pipeline_en_5.5.0_3.0_1725674670236.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_sunwoongee_pipeline_en_5.5.0_3.0_1725674670236.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_sunwoongee_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_sunwoongee_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_sunwoongee_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/sunwoongee/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_finetuned_ner_dev4952_en.md b/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_finetuned_ner_dev4952_en.md
new file mode 100644
index 00000000000000..da117aa18612bf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_finetuned_ner_dev4952_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_dev4952 DistilBertForTokenClassification from dev4952
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_dev4952
+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_dev4952` is a English model originally trained by dev4952.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_dev4952_en_5.5.0_3.0_1725739568620.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_dev4952_en_5.5.0_3.0_1725739568620.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_dev4952|
+|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/dev4952/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_finetuned_ner_owenk1212_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_finetuned_ner_owenk1212_pipeline_en.md
new file mode 100644
index 00000000000000..723466d42b8662
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_finetuned_ner_owenk1212_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_owenk1212_pipeline pipeline DistilBertForTokenClassification from OwenK1212
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_owenk1212_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.`distilbert_base_uncased_finetuned_ner_owenk1212_pipeline` is a English model originally trained by OwenK1212.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_owenk1212_pipeline_en_5.5.0_3.0_1725739313702.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_owenk1212_pipeline_en_5.5.0_3.0_1725739313702.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_owenk1212_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_ner_owenk1212_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_owenk1212_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|248.1 MB|
+
+## References
+
+https://huggingface.co/OwenK1212/distilbert-base-uncased-finetuned-ner
+
+## 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_seanlee7_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_finetuned_ner_seanlee7_pipeline_en.md
new file mode 100644
index 00000000000000..2699ac880a10e3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_finetuned_ner_seanlee7_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_seanlee7_pipeline pipeline DistilBertForTokenClassification from SeanLee7
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_seanlee7_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.`distilbert_base_uncased_finetuned_ner_seanlee7_pipeline` is a English model originally trained by SeanLee7.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_seanlee7_pipeline_en_5.5.0_3.0_1725729971439.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_seanlee7_pipeline_en_5.5.0_3.0_1725729971439.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_seanlee7_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_ner_seanlee7_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_seanlee7_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/SeanLee7/distilbert-base-uncased-finetuned-ner
+
+## 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_tuanbc_en.md b/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_finetuned_ner_tuanbc_en.md
new file mode 100644
index 00000000000000..9a5c76ad904b7e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_finetuned_ner_tuanbc_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_tuanbc DistilBertForTokenClassification from TuanBC
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_tuanbc
+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_tuanbc` is a English model originally trained by TuanBC.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_tuanbc_en_5.5.0_3.0_1725734334942.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_tuanbc_en_5.5.0_3.0_1725734334942.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_tuanbc|
+|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/TuanBC/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_finetuned_sayula_popoluca_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_finetuned_sayula_popoluca_2_pipeline_en.md
new file mode 100644
index 00000000000000..0cb05ac149eb3b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_finetuned_sayula_popoluca_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_sayula_popoluca_2_pipeline pipeline DistilBertForTokenClassification from Justice0893
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_sayula_popoluca_2_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.`distilbert_base_uncased_finetuned_sayula_popoluca_2_pipeline` is a English model originally trained by Justice0893.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sayula_popoluca_2_pipeline_en_5.5.0_3.0_1725729803516.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_sayula_popoluca_2_pipeline_en_5.5.0_3.0_1725729803516.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_sayula_popoluca_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_sayula_popoluca_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_sayula_popoluca_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.4 MB|
+
+## References
+
+https://huggingface.co/Justice0893/distilbert-base-uncased-finetuned-pos-2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_finetuned_squad_d5716d28_jwlovetea_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_finetuned_squad_d5716d28_jwlovetea_pipeline_en.md
new file mode 100644
index 00000000000000..c651c5109e07cd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_finetuned_squad_d5716d28_jwlovetea_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_d5716d28_jwlovetea_pipeline pipeline DistilBertForQuestionAnswering from jwlovetea
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_d5716d28_jwlovetea_pipeline
+date: 2024-09-07
+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_jwlovetea_pipeline` is a English model originally trained by jwlovetea.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_d5716d28_jwlovetea_pipeline_en_5.5.0_3.0_1725695413495.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_jwlovetea_pipeline_en_5.5.0_3.0_1725695413495.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_jwlovetea_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_d5716d28_jwlovetea_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_d5716d28_jwlovetea_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/jwlovetea/distilbert-base-uncased-finetuned-squad-d5716d28
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_finetuned_squad_d5716d28_linqus_en.md b/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_finetuned_squad_d5716d28_linqus_en.md
new file mode 100644
index 00000000000000..aeb0dbcd381ca0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_finetuned_squad_d5716d28_linqus_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_d5716d28_linqus DistilBertForQuestionAnswering from linqus
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_d5716d28_linqus
+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.`distilbert_base_uncased_finetuned_squad_d5716d28_linqus` is a English model originally trained by linqus.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_d5716d28_linqus_en_5.5.0_3.0_1725722307583.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_linqus_en_5.5.0_3.0_1725722307583.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_linqus|
+|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/linqus/distilbert-base-uncased-finetuned-squad-d5716d28
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_finetuned_squad_d5716d28_osanseviero_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_finetuned_squad_d5716d28_osanseviero_pipeline_en.md
new file mode 100644
index 00000000000000..efb986f4aac2be
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_finetuned_squad_d5716d28_osanseviero_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_d5716d28_osanseviero_pipeline pipeline DistilBertForQuestionAnswering from osanseviero
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_d5716d28_osanseviero_pipeline
+date: 2024-09-07
+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_osanseviero_pipeline` is a English model originally trained by osanseviero.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_d5716d28_osanseviero_pipeline_en_5.5.0_3.0_1725695209799.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_osanseviero_pipeline_en_5.5.0_3.0_1725695209799.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_osanseviero_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_d5716d28_osanseviero_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_d5716d28_osanseviero_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/osanseviero/distilbert-base-uncased-finetuned-squad-d5716d28
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_finetuned_squad_meline_en.md b/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_finetuned_squad_meline_en.md
new file mode 100644
index 00000000000000..121083cbf3e0c8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_finetuned_squad_meline_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_meline DistilBertForQuestionAnswering from Meline
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_meline
+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.`distilbert_base_uncased_finetuned_squad_meline` is a English model originally trained by Meline.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_meline_en_5.5.0_3.0_1725746260001.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_meline_en_5.5.0_3.0_1725746260001.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_meline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.4 MB|
+
+## References
+
+https://huggingface.co/Meline/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_finetuned_tags_en.md b/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_finetuned_tags_en.md
new file mode 100644
index 00000000000000..4ed1925a0c3ff2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_finetuned_tags_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_tags DistilBertForTokenClassification from anniellin
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_tags
+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_tags` is a English model originally trained by anniellin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_tags_en_5.5.0_3.0_1725729990670.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_tags_en_5.5.0_3.0_1725729990670.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_tags|
+|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/anniellin/distilbert-base-uncased-finetuned-tags
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_freezed_finetuned_sayula_popoluca_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_freezed_finetuned_sayula_popoluca_pipeline_en.md
new file mode 100644
index 00000000000000..2ce6fbc69b862b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_freezed_finetuned_sayula_popoluca_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_freezed_finetuned_sayula_popoluca_pipeline pipeline DistilBertForTokenClassification from Prince6
+author: John Snow Labs
+name: distilbert_base_uncased_freezed_finetuned_sayula_popoluca_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.`distilbert_base_uncased_freezed_finetuned_sayula_popoluca_pipeline` is a English model originally trained by Prince6.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_freezed_finetuned_sayula_popoluca_pipeline_en_5.5.0_3.0_1725730670983.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_freezed_finetuned_sayula_popoluca_pipeline_en_5.5.0_3.0_1725730670983.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_freezed_finetuned_sayula_popoluca_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_freezed_finetuned_sayula_popoluca_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_freezed_finetuned_sayula_popoluca_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Prince6/distilbert-base-uncased-freezed_finetuned-pos
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_squad2_p10_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_squad2_p10_pipeline_en.md
new file mode 100644
index 00000000000000..5c93c31d0b473f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-distilbert_base_uncased_squad2_p10_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_squad2_p10_pipeline pipeline DistilBertForQuestionAnswering from pminha
+author: John Snow Labs
+name: distilbert_base_uncased_squad2_p10_pipeline
+date: 2024-09-07
+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_p10_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_p10_pipeline_en_5.5.0_3.0_1725746006899.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_squad2_p10_pipeline_en_5.5.0_3.0_1725746006899.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_p10_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_squad2_p10_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_squad2_p10_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|237.6 MB|
+
+## References
+
+https://huggingface.co/pminha/distilbert-base-uncased-squad2-p10
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-distilbertfull_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-distilbertfull_pipeline_en.md
new file mode 100644
index 00000000000000..436f2c85c676e0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-distilbertfull_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbertfull_pipeline pipeline DistilBertForQuestionAnswering from adamfendri
+author: John Snow Labs
+name: distilbertfull_pipeline
+date: 2024-09-07
+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.`distilbertfull_pipeline` is a English model originally trained by adamfendri.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbertfull_pipeline_en_5.5.0_3.0_1725735905253.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbertfull_pipeline_en_5.5.0_3.0_1725735905253.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbertfull_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbertfull_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbertfull_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/adamfendri/distilBertFull
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-dummy_model_arnmig_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-dummy_model_arnmig_pipeline_en.md
new file mode 100644
index 00000000000000..c7316dfc702b49
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-dummy_model_arnmig_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dummy_model_arnmig_pipeline pipeline CamemBertEmbeddings from arnmig
+author: John Snow Labs
+name: dummy_model_arnmig_pipeline
+date: 2024-09-07
+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_arnmig_pipeline` is a English model originally trained by arnmig.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_model_arnmig_pipeline_en_5.5.0_3.0_1725728438238.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_model_arnmig_pipeline_en_5.5.0_3.0_1725728438238.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dummy_model_arnmig_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dummy_model_arnmig_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dummy_model_arnmig_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|264.0 MB|
+
+## References
+
+https://huggingface.co/arnmig/dummy-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- CamemBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-dummy_model_rudytzhan_en.md b/docs/_posts/ahmedlone127/2024-09-07-dummy_model_rudytzhan_en.md
new file mode 100644
index 00000000000000..cd94b9701417cb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-dummy_model_rudytzhan_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English dummy_model_rudytzhan CamemBertEmbeddings from rudyTzhan
+author: John Snow Labs
+name: dummy_model_rudytzhan
+date: 2024-09-07
+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_rudytzhan` is a English model originally trained by rudyTzhan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_model_rudytzhan_en_5.5.0_3.0_1725729289894.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_model_rudytzhan_en_5.5.0_3.0_1725729289894.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_rudytzhan|
+|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/rudyTzhan/dummy-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-dummy_model_sayaendo_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-dummy_model_sayaendo_pipeline_en.md
new file mode 100644
index 00000000000000..e83dcda5b1c815
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-dummy_model_sayaendo_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dummy_model_sayaendo_pipeline pipeline CamemBertEmbeddings from SayaEndo
+author: John Snow Labs
+name: dummy_model_sayaendo_pipeline
+date: 2024-09-07
+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_sayaendo_pipeline` is a English model originally trained by SayaEndo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_model_sayaendo_pipeline_en_5.5.0_3.0_1725728275676.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_model_sayaendo_pipeline_en_5.5.0_3.0_1725728275676.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dummy_model_sayaendo_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dummy_model_sayaendo_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dummy_model_sayaendo_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|264.0 MB|
+
+## References
+
+https://huggingface.co/SayaEndo/dummy-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- CamemBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-dummy_model_sidd_2203_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-dummy_model_sidd_2203_pipeline_en.md
new file mode 100644
index 00000000000000..53470b5874ee06
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-dummy_model_sidd_2203_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dummy_model_sidd_2203_pipeline pipeline CamemBertEmbeddings from sidd-2203
+author: John Snow Labs
+name: dummy_model_sidd_2203_pipeline
+date: 2024-09-07
+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_sidd_2203_pipeline` is a English model originally trained by sidd-2203.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_model_sidd_2203_pipeline_en_5.5.0_3.0_1725729263218.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_model_sidd_2203_pipeline_en_5.5.0_3.0_1725729263218.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dummy_model_sidd_2203_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dummy_model_sidd_2203_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dummy_model_sidd_2203_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|264.0 MB|
+
+## References
+
+https://huggingface.co/sidd-2203/dummy-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- CamemBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-dzoqa_malayalam_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-dzoqa_malayalam_pipeline_en.md
new file mode 100644
index 00000000000000..4f3c69b651a6d6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-dzoqa_malayalam_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English dzoqa_malayalam_pipeline pipeline DistilBertForQuestionAnswering from Norphel
+author: John Snow Labs
+name: dzoqa_malayalam_pipeline
+date: 2024-09-07
+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.`dzoqa_malayalam_pipeline` is a English model originally trained by Norphel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dzoqa_malayalam_pipeline_en_5.5.0_3.0_1725695702908.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dzoqa_malayalam_pipeline_en_5.5.0_3.0_1725695702908.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dzoqa_malayalam_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dzoqa_malayalam_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dzoqa_malayalam_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Norphel/dzoQA_ml
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-entity_rec_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-entity_rec_pipeline_en.md
new file mode 100644
index 00000000000000..ad3176e492fbd5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-entity_rec_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English entity_rec_pipeline pipeline DistilBertForTokenClassification from cleopatro
+author: John Snow Labs
+name: entity_rec_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.`entity_rec_pipeline` is a English model originally trained by cleopatro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/entity_rec_pipeline_en_5.5.0_3.0_1725734128065.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/entity_rec_pipeline_en_5.5.0_3.0_1725734128065.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("entity_rec_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("entity_rec_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|entity_rec_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/cleopatro/Entity_Rec
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-fabner_ner_en.md b/docs/_posts/ahmedlone127/2024-09-07-fabner_ner_en.md
new file mode 100644
index 00000000000000..e39fcda4040882
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-fabner_ner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English fabner_ner DistilBertForTokenClassification from kalexa2
+author: John Snow Labs
+name: fabner_ner
+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.`fabner_ner` is a English model originally trained by kalexa2.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fabner_ner_en_5.5.0_3.0_1725731120538.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fabner_ner_en_5.5.0_3.0_1725731120538.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_llm|
+|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/SaiSaketh/fine_tune_llm
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-fine_tuned_roberta_base_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-fine_tuned_roberta_base_ner_pipeline_en.md
new file mode 100644
index 00000000000000..bdf693ae3dd142
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-fine_tuned_roberta_base_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English fine_tuned_roberta_base_ner_pipeline pipeline RoBertaForTokenClassification from elshehawy
+author: John Snow Labs
+name: fine_tuned_roberta_base_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.`fine_tuned_roberta_base_ner_pipeline` is a English model originally trained by elshehawy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_roberta_base_ner_pipeline_en_5.5.0_3.0_1725720982199.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_roberta_base_ner_pipeline_en_5.5.0_3.0_1725720982199.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fine_tuned_roberta_base_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fine_tuned_roberta_base_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tuned_roberta_base_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|427.6 MB|
+
+## References
+
+https://huggingface.co/elshehawy/fine-tuned-roberta-base-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-finetuned2_ldiego73_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-finetuned2_ldiego73_pipeline_en.md
new file mode 100644
index 00000000000000..c32a2d0726fcb7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-finetuned2_ldiego73_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English finetuned2_ldiego73_pipeline pipeline DistilBertForQuestionAnswering from ldiego73
+author: John Snow Labs
+name: finetuned2_ldiego73_pipeline
+date: 2024-09-07
+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.`finetuned2_ldiego73_pipeline` is a English model originally trained by ldiego73.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned2_ldiego73_pipeline_en_5.5.0_3.0_1725727373131.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned2_ldiego73_pipeline_en_5.5.0_3.0_1725727373131.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuned2_ldiego73_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuned2_ldiego73_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned2_ldiego73_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/ldiego73/finetuned2
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-finetuned_token_2e_05_all_16_02_2022_15_50_54_en.md b/docs/_posts/ahmedlone127/2024-09-07-finetuned_token_2e_05_all_16_02_2022_15_50_54_en.md
new file mode 100644
index 00000000000000..52f14e5bf2ca1f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-finetuned_token_2e_05_all_16_02_2022_15_50_54_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuned_token_2e_05_all_16_02_2022_15_50_54 DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_2e_05_all_16_02_2022_15_50_54
+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.`finetuned_token_2e_05_all_16_02_2022_15_50_54` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_2e_05_all_16_02_2022_15_50_54_en_5.5.0_3.0_1725730393220.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_2e_05_all_16_02_2022_15_50_54_en_5.5.0_3.0_1725730393220.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_2e_05_all_16_02_2022_15_50_54|
+|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/ali2066/finetuned_token_2e-05_all_16_02_2022-15_50_54
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-finetuned_token_2e_05_all_16_02_2022_15_50_54_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-finetuned_token_2e_05_all_16_02_2022_15_50_54_pipeline_en.md
new file mode 100644
index 00000000000000..f332095b0bd26a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-finetuned_token_2e_05_all_16_02_2022_15_50_54_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuned_token_2e_05_all_16_02_2022_15_50_54_pipeline pipeline DistilBertForTokenClassification from ali2066
+author: John Snow Labs
+name: finetuned_token_2e_05_all_16_02_2022_15_50_54_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.`finetuned_token_2e_05_all_16_02_2022_15_50_54_pipeline` is a English model originally trained by ali2066.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_token_2e_05_all_16_02_2022_15_50_54_pipeline_en_5.5.0_3.0_1725730404382.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_token_2e_05_all_16_02_2022_15_50_54_pipeline_en_5.5.0_3.0_1725730404382.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuned_token_2e_05_all_16_02_2022_15_50_54_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuned_token_2e_05_all_16_02_2022_15_50_54_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_token_2e_05_all_16_02_2022_15_50_54_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/ali2066/finetuned_token_2e-05_all_16_02_2022-15_50_54
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-finsentencebert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-finsentencebert_pipeline_en.md
new file mode 100644
index 00000000000000..9cc5febea7ef3a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-finsentencebert_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English finsentencebert_pipeline pipeline MPNetEmbeddings from syang687
+author: John Snow Labs
+name: finsentencebert_pipeline
+date: 2024-09-07
+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.`finsentencebert_pipeline` is a English model originally trained by syang687.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finsentencebert_pipeline_en_5.5.0_3.0_1725703030002.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finsentencebert_pipeline_en_5.5.0_3.0_1725703030002.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finsentencebert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finsentencebert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finsentencebert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.6 MB|
+
+## References
+
+https://huggingface.co/syang687/FinSentenceBERT
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-fresh_model_uncased_en.md b/docs/_posts/ahmedlone127/2024-09-07-fresh_model_uncased_en.md
new file mode 100644
index 00000000000000..7a28a8473597ea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-fresh_model_uncased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English fresh_model_uncased DistilBertForTokenClassification from Gkumi
+author: John Snow Labs
+name: fresh_model_uncased
+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.`fresh_model_uncased` is a English model originally trained by Gkumi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fresh_model_uncased_en_5.5.0_3.0_1725739223329.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fresh_model_uncased_en_5.5.0_3.0_1725739223329.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|generative_qas_pariwisata_bali|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[mpnet]|
+|Language:|en|
+|Size:|406.6 MB|
+
+## References
+
+https://huggingface.co/SwastyMaharani/generative-qas-pariwisata-bali
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-german_french_translation_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-german_french_translation_model_pipeline_en.md
new file mode 100644
index 00000000000000..8a0b221d3a852c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-german_french_translation_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English german_french_translation_model_pipeline pipeline MarianTransformer from SalomonMetre13
+author: John Snow Labs
+name: german_french_translation_model_pipeline
+date: 2024-09-07
+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.`german_french_translation_model_pipeline` is a English model originally trained by SalomonMetre13.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/german_french_translation_model_pipeline_en_5.5.0_3.0_1725746818813.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/german_french_translation_model_pipeline_en_5.5.0_3.0_1725746818813.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("german_french_translation_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("german_french_translation_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|german_french_translation_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|518.2 MB|
+
+## References
+
+https://huggingface.co/SalomonMetre13/de_fr_translation_model
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-julibert_pipeline_ca.md b/docs/_posts/ahmedlone127/2024-09-07-julibert_pipeline_ca.md
new file mode 100644
index 00000000000000..f45661fd7b9dc4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-julibert_pipeline_ca.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Catalan, Valencian julibert_pipeline pipeline RoBertaEmbeddings from softcatala
+author: John Snow Labs
+name: julibert_pipeline
+date: 2024-09-07
+tags: [ca, open_source, pipeline, onnx]
+task: Embeddings
+language: ca
+edition: Spark 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.`julibert_pipeline` is a Catalan, Valencian model originally trained by softcatala.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/julibert_pipeline_ca_5.5.0_3.0_1725678554029.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/julibert_pipeline_ca_5.5.0_3.0_1725678554029.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("julibert_pipeline", lang = "ca")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("julibert_pipeline", lang = "ca")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|julibert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ca|
+|Size:|465.8 MB|
+
+## References
+
+https://huggingface.co/softcatala/julibert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-kaggle_competition_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-kaggle_competition_pipeline_en.md
new file mode 100644
index 00000000000000..8fd3b0d16eb923
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-kaggle_competition_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English kaggle_competition_pipeline pipeline DistilBertForSequenceClassification from picaba
+author: John Snow Labs
+name: kaggle_competition_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.`kaggle_competition_pipeline` is a English model originally trained by picaba.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kaggle_competition_pipeline_en_5.5.0_3.0_1725674485738.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kaggle_competition_pipeline_en_5.5.0_3.0_1725674485738.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("kaggle_competition_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("kaggle_competition_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kaggle_competition_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/picaba/Kaggle_competition
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-lct_ner_en.md b/docs/_posts/ahmedlone127/2024-09-07-lct_ner_en.md
new file mode 100644
index 00000000000000..72737f648a01cf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-lct_ner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English lct_ner DistilBertForTokenClassification from IshikiI-01
+author: John Snow Labs
+name: lct_ner
+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.`lct_ner` is a English model originally trained by IshikiI-01.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lct_ner_en_5.5.0_3.0_1725730243345.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lct_ner_en_5.5.0_3.0_1725730243345.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lct_ner|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|666.6 MB|
+
+## References
+
+https://huggingface.co/IshikiI-01/lct_ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-malurl_roberta_10e_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-malurl_roberta_10e_pipeline_en.md
new file mode 100644
index 00000000000000..69f90a68d83466
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-malurl_roberta_10e_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English malurl_roberta_10e_pipeline pipeline RoBertaForSequenceClassification from bgspaditya
+author: John Snow Labs
+name: malurl_roberta_10e_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 RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`malurl_roberta_10e_pipeline` is a English model originally trained by bgspaditya.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/malurl_roberta_10e_pipeline_en_5.5.0_3.0_1725679524190.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/malurl_roberta_10e_pipeline_en_5.5.0_3.0_1725679524190.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("malurl_roberta_10e_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("malurl_roberta_10e_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|malurl_roberta_10e_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|438.4 MB|
+
+## References
+
+https://huggingface.co/bgspaditya/malurl-roberta-10e
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-marian_finetuned_dyu_tonga_tonga_islands_french_en.md b/docs/_posts/ahmedlone127/2024-09-07-marian_finetuned_dyu_tonga_tonga_islands_french_en.md
new file mode 100644
index 00000000000000..77786b7caba896
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-marian_finetuned_dyu_tonga_tonga_islands_french_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English marian_finetuned_dyu_tonga_tonga_islands_french MarianTransformer from isaacoluwafemiog
+author: John Snow Labs
+name: marian_finetuned_dyu_tonga_tonga_islands_french
+date: 2024-09-07
+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_dyu_tonga_tonga_islands_french` is a English model originally trained by isaacoluwafemiog.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_dyu_tonga_tonga_islands_french_en_5.5.0_3.0_1725746945377.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marian_finetuned_dyu_tonga_tonga_islands_french_en_5.5.0_3.0_1725746945377.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_dyu_tonga_tonga_islands_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/isaacoluwafemiog/marian-finetuned-dyu-to-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-minilmv2_l6_h384_r_fineweb_100k_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-minilmv2_l6_h384_r_fineweb_100k_pipeline_en.md
new file mode 100644
index 00000000000000..e9e67a98d1fd12
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-minilmv2_l6_h384_r_fineweb_100k_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English minilmv2_l6_h384_r_fineweb_100k_pipeline pipeline RoBertaEmbeddings from pszemraj
+author: John Snow Labs
+name: minilmv2_l6_h384_r_fineweb_100k_pipeline
+date: 2024-09-07
+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_h384_r_fineweb_100k_pipeline` is a English model originally trained by pszemraj.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/minilmv2_l6_h384_r_fineweb_100k_pipeline_en_5.5.0_3.0_1725716365932.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/minilmv2_l6_h384_r_fineweb_100k_pipeline_en_5.5.0_3.0_1725716365932.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("minilmv2_l6_h384_r_fineweb_100k_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("minilmv2_l6_h384_r_fineweb_100k_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|minilmv2_l6_h384_r_fineweb_100k_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|114.2 MB|
+
+## References
+
+https://huggingface.co/pszemraj/MiniLMv2-L6-H384_R-fineweb-100k
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-mix_vietnamese_english_4m_en.md b/docs/_posts/ahmedlone127/2024-09-07-mix_vietnamese_english_4m_en.md
new file mode 100644
index 00000000000000..0f960d4d4c6301
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-mix_vietnamese_english_4m_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English mix_vietnamese_english_4m MarianTransformer from Eugenememe
+author: John Snow Labs
+name: mix_vietnamese_english_4m
+date: 2024-09-07
+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.`mix_vietnamese_english_4m` is a English model originally trained by Eugenememe.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mix_vietnamese_english_4m_en_5.5.0_3.0_1725746905581.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mix_vietnamese_english_4m_en_5.5.0_3.0_1725746905581.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mix_vietnamese_english_4m|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|475.2 MB|
+
+## References
+
+https://huggingface.co/Eugenememe/mix-vi-en-4m
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-model_perturbations_en.md b/docs/_posts/ahmedlone127/2024-09-07-model_perturbations_en.md
new file mode 100644
index 00000000000000..329ef0ec3277fe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-model_perturbations_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English model_perturbations DistilBertForTokenClassification from cria111
+author: John Snow Labs
+name: model_perturbations
+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.`model_perturbations` is a English model originally trained by cria111.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_perturbations_en_5.5.0_3.0_1725730878611.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_perturbations_en_5.5.0_3.0_1725730878611.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|model_perturbations|
+|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/cria111/model_perturbations
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-model_perturbations_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-model_perturbations_pipeline_en.md
new file mode 100644
index 00000000000000..2f8235dfe7319f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-model_perturbations_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English model_perturbations_pipeline pipeline DistilBertForTokenClassification from cria111
+author: John Snow Labs
+name: model_perturbations_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.`model_perturbations_pipeline` is a English model originally trained by cria111.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_perturbations_pipeline_en_5.5.0_3.0_1725730889977.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_perturbations_pipeline_en_5.5.0_3.0_1725730889977.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("model_perturbations_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("model_perturbations_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|model_perturbations_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/cria111/model_perturbations
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-model_vrushali_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-model_vrushali_pipeline_en.md
new file mode 100644
index 00000000000000..d8d18b8a293448
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-model_vrushali_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English model_vrushali_pipeline pipeline DistilBertForTokenClassification from Vrushali
+author: John Snow Labs
+name: model_vrushali_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.`model_vrushali_pipeline` is a English model originally trained by Vrushali.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_vrushali_pipeline_en_5.5.0_3.0_1725739603604.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_vrushali_pipeline_en_5.5.0_3.0_1725739603604.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("model_vrushali_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("model_vrushali_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|model_vrushali_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.4 MB|
+
+## References
+
+https://huggingface.co/Vrushali/model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-ner_model_arshiakarimian_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-ner_model_arshiakarimian_pipeline_en.md
new file mode 100644
index 00000000000000..a2a5b67c0d64f4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-ner_model_arshiakarimian_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ner_model_arshiakarimian_pipeline pipeline DistilBertForTokenClassification from ArshiaKarimian
+author: John Snow Labs
+name: ner_model_arshiakarimian_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.`ner_model_arshiakarimian_pipeline` is a English model originally trained by ArshiaKarimian.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_model_arshiakarimian_pipeline_en_5.5.0_3.0_1725739481808.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_model_arshiakarimian_pipeline_en_5.5.0_3.0_1725739481808.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ner_model_arshiakarimian_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ner_model_arshiakarimian_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_model_arshiakarimian_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/ArshiaKarimian/NER_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-ner_replica_pipeline_tr.md b/docs/_posts/ahmedlone127/2024-09-07-ner_replica_pipeline_tr.md
new file mode 100644
index 00000000000000..5cf64d3c2d4881
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-ner_replica_pipeline_tr.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Turkish ner_replica_pipeline pipeline BertForTokenClassification from merve
+author: John Snow Labs
+name: ner_replica_pipeline
+date: 2024-09-07
+tags: [tr, open_source, pipeline, onnx]
+task: Named Entity 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 BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ner_replica_pipeline` is a Turkish model originally trained by merve.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_replica_pipeline_tr_5.5.0_3.0_1725701828454.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_replica_pipeline_tr_5.5.0_3.0_1725701828454.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ner_replica_pipeline", lang = "tr")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ner_replica_pipeline", lang = "tr")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_replica_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|tr|
+|Size:|412.4 MB|
+
+## References
+
+https://huggingface.co/merve/ner-replica
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-nlp_til2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-nlp_til2_pipeline_en.md
new file mode 100644
index 00000000000000..664c01cc512d61
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-nlp_til2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English nlp_til2_pipeline pipeline DistilBertForTokenClassification from casual
+author: John Snow Labs
+name: nlp_til2_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.`nlp_til2_pipeline` is a English model originally trained by casual.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp_til2_pipeline_en_5.5.0_3.0_1725734472893.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp_til2_pipeline_en_5.5.0_3.0_1725734472893.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nlp_til2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nlp_til2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nlp_til2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/casual/nlp_til2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-nreimers_minilmv2_l6_h384_distilled_from_roberta_large_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-nreimers_minilmv2_l6_h384_distilled_from_roberta_large_pipeline_en.md
new file mode 100644
index 00000000000000..b3db82c9bbad32
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-nreimers_minilmv2_l6_h384_distilled_from_roberta_large_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English nreimers_minilmv2_l6_h384_distilled_from_roberta_large_pipeline pipeline RoBertaForTokenClassification from baileyk
+author: John Snow Labs
+name: nreimers_minilmv2_l6_h384_distilled_from_roberta_large_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.`nreimers_minilmv2_l6_h384_distilled_from_roberta_large_pipeline` is a English model originally trained by baileyk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nreimers_minilmv2_l6_h384_distilled_from_roberta_large_pipeline_en_5.5.0_3.0_1725707516537.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nreimers_minilmv2_l6_h384_distilled_from_roberta_large_pipeline_en_5.5.0_3.0_1725707516537.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nreimers_minilmv2_l6_h384_distilled_from_roberta_large_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nreimers_minilmv2_l6_h384_distilled_from_roberta_large_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nreimers_minilmv2_l6_h384_distilled_from_roberta_large_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|111.5 MB|
+
+## References
+
+https://huggingface.co/baileyk/nreimers_MiniLMv2-L6-H384-distilled-from-RoBERTa-Large
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_likhith231_en.md b/docs/_posts/ahmedlone127/2024-09-07-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_likhith231_en.md
new file mode 100644
index 00000000000000..d900b6a136ca63
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_likhith231_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_likhith231 MarianTransformer from likhith231
+author: John Snow Labs
+name: opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_likhith231
+date: 2024-09-07
+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_likhith231` is a English model originally trained by likhith231.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_likhith231_en_5.5.0_3.0_1725741074073.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_likhith231_en_5.5.0_3.0_1725741074073.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_likhith231|
+|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/likhith231/opus-mt-en-ro-finetuned-en-to-ro
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-opus_maltese_english_swahili_finetuned_english_tonga_tonga_islands_swahili_zumaridi_en.md b/docs/_posts/ahmedlone127/2024-09-07-opus_maltese_english_swahili_finetuned_english_tonga_tonga_islands_swahili_zumaridi_en.md
new file mode 100644
index 00000000000000..7929c02c0c5377
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-opus_maltese_english_swahili_finetuned_english_tonga_tonga_islands_swahili_zumaridi_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_english_swahili_finetuned_english_tonga_tonga_islands_swahili_zumaridi MarianTransformer from Zumaridi
+author: John Snow Labs
+name: opus_maltese_english_swahili_finetuned_english_tonga_tonga_islands_swahili_zumaridi
+date: 2024-09-07
+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_swahili_finetuned_english_tonga_tonga_islands_swahili_zumaridi` is a English model originally trained by Zumaridi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_swahili_finetuned_english_tonga_tonga_islands_swahili_zumaridi_en_5.5.0_3.0_1725740402263.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_swahili_finetuned_english_tonga_tonga_islands_swahili_zumaridi_en_5.5.0_3.0_1725740402263.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_swahili_finetuned_english_tonga_tonga_islands_swahili_zumaridi|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|506.5 MB|
+
+## References
+
+https://huggingface.co/Zumaridi/opus-mt-en-sw-finetuned-en-to-sw
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-opus_maltese_french_english_bds_en.md b/docs/_posts/ahmedlone127/2024-09-07-opus_maltese_french_english_bds_en.md
new file mode 100644
index 00000000000000..18c9238f8d9cc3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-opus_maltese_french_english_bds_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_french_english_bds MarianTransformer from Anhptp
+author: John Snow Labs
+name: opus_maltese_french_english_bds
+date: 2024-09-07
+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_french_english_bds` is a English model originally trained by Anhptp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_french_english_bds_en_5.5.0_3.0_1725741158659.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_french_english_bds_en_5.5.0_3.0_1725741158659.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_french_english_bds|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|507.6 MB|
+
+## References
+
+https://huggingface.co/Anhptp/opus-mt-fr-en-BDS
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-opus_maltese_german_english_finetuned_german_tonga_tonga_islands_english_second_tiagohatta_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-opus_maltese_german_english_finetuned_german_tonga_tonga_islands_english_second_tiagohatta_pipeline_en.md
new file mode 100644
index 00000000000000..dfd05ca7412ba6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-opus_maltese_german_english_finetuned_german_tonga_tonga_islands_english_second_tiagohatta_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_german_english_finetuned_german_tonga_tonga_islands_english_second_tiagohatta_pipeline pipeline MarianTransformer from tiagohatta
+author: John Snow Labs
+name: opus_maltese_german_english_finetuned_german_tonga_tonga_islands_english_second_tiagohatta_pipeline
+date: 2024-09-07
+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_english_finetuned_german_tonga_tonga_islands_english_second_tiagohatta_pipeline` is a English model originally trained by tiagohatta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_german_english_finetuned_german_tonga_tonga_islands_english_second_tiagohatta_pipeline_en_5.5.0_3.0_1725747480668.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_german_english_finetuned_german_tonga_tonga_islands_english_second_tiagohatta_pipeline_en_5.5.0_3.0_1725747480668.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_german_english_finetuned_german_tonga_tonga_islands_english_second_tiagohatta_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_german_english_finetuned_german_tonga_tonga_islands_english_second_tiagohatta_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_german_english_finetuned_german_tonga_tonga_islands_english_second_tiagohatta_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|499.9 MB|
+
+## References
+
+https://huggingface.co/tiagohatta/opus-mt-de-en-finetuned-de-to-en-second
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-opus_tatoeba_english_japanese_finetuned_eng_tonga_tonga_islands_jpn_hani_nan.md b/docs/_posts/ahmedlone127/2024-09-07-opus_tatoeba_english_japanese_finetuned_eng_tonga_tonga_islands_jpn_hani_nan.md
new file mode 100644
index 00000000000000..15bf4b3343444f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-opus_tatoeba_english_japanese_finetuned_eng_tonga_tonga_islands_jpn_hani_nan.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: None opus_tatoeba_english_japanese_finetuned_eng_tonga_tonga_islands_jpn_hani MarianTransformer from julianty
+author: John Snow Labs
+name: opus_tatoeba_english_japanese_finetuned_eng_tonga_tonga_islands_jpn_hani
+date: 2024-09-07
+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_tatoeba_english_japanese_finetuned_eng_tonga_tonga_islands_jpn_hani` is a None model originally trained by julianty.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_tatoeba_english_japanese_finetuned_eng_tonga_tonga_islands_jpn_hani_nan_5.5.0_3.0_1725747303490.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_tatoeba_english_japanese_finetuned_eng_tonga_tonga_islands_jpn_hani_nan_5.5.0_3.0_1725747303490.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_tatoeba_english_japanese_finetuned_eng_tonga_tonga_islands_jpn_hani|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|nan|
+|Size:|542.0 MB|
+
+## References
+
+https://huggingface.co/julianty/opus-tatoeba-en-ja-finetuned-eng-to-jpn_Hani
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-piidetection_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-piidetection_pipeline_en.md
new file mode 100644
index 00000000000000..7c05302351970a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-piidetection_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English piidetection_pipeline pipeline DistilBertForTokenClassification from codeSlang
+author: John Snow Labs
+name: piidetection_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.`piidetection_pipeline` is a English model originally trained by codeSlang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/piidetection_pipeline_en_5.5.0_3.0_1725730357876.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/piidetection_pipeline_en_5.5.0_3.0_1725730357876.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("piidetection_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("piidetection_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|piidetection_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/codeSlang/piidetection
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-piimasking_pytorch_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-piimasking_pytorch_pipeline_en.md
new file mode 100644
index 00000000000000..8c00144017e9b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-piimasking_pytorch_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English piimasking_pytorch_pipeline pipeline DistilBertForTokenClassification from shivangiss
+author: John Snow Labs
+name: piimasking_pytorch_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.`piimasking_pytorch_pipeline` is a English model originally trained by shivangiss.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/piimasking_pytorch_pipeline_en_5.5.0_3.0_1725731121739.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/piimasking_pytorch_pipeline_en_5.5.0_3.0_1725731121739.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("piimasking_pytorch_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("piimasking_pytorch_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|piimasking_pytorch_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|505.8 MB|
+
+## References
+
+https://huggingface.co/shivangiss/piimasking_pytorch
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-platzi_distilroberta_base_mrpc_miguel_moroyoqui_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-platzi_distilroberta_base_mrpc_miguel_moroyoqui_pipeline_en.md
new file mode 100644
index 00000000000000..3568aa1b9e58b5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-platzi_distilroberta_base_mrpc_miguel_moroyoqui_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English platzi_distilroberta_base_mrpc_miguel_moroyoqui_pipeline pipeline RoBertaForSequenceClassification from moroyoqui
+author: John Snow Labs
+name: platzi_distilroberta_base_mrpc_miguel_moroyoqui_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 RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`platzi_distilroberta_base_mrpc_miguel_moroyoqui_pipeline` is a English model originally trained by moroyoqui.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/platzi_distilroberta_base_mrpc_miguel_moroyoqui_pipeline_en_5.5.0_3.0_1725718229064.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/platzi_distilroberta_base_mrpc_miguel_moroyoqui_pipeline_en_5.5.0_3.0_1725718229064.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_miguel_moroyoqui_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("platzi_distilroberta_base_mrpc_miguel_moroyoqui_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|platzi_distilroberta_base_mrpc_miguel_moroyoqui_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|308.6 MB|
+
+## References
+
+https://huggingface.co/moroyoqui/platzi-distilroberta-base-mrpc-miguel-moroyoqui
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-queansmodel_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-queansmodel_pipeline_en.md
new file mode 100644
index 00000000000000..89af7737187415
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-queansmodel_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English queansmodel_pipeline pipeline DistilBertForQuestionAnswering from KeiMura
+author: John Snow Labs
+name: queansmodel_pipeline
+date: 2024-09-07
+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.`queansmodel_pipeline` is a English model originally trained by KeiMura.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/queansmodel_pipeline_en_5.5.0_3.0_1725695639011.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/queansmodel_pipeline_en_5.5.0_3.0_1725695639011.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("queansmodel_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("queansmodel_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|queansmodel_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/KeiMura/QueAnsModel
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-results_elseif02_en.md b/docs/_posts/ahmedlone127/2024-09-07-results_elseif02_en.md
new file mode 100644
index 00000000000000..cde2ef2c9b817a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-results_elseif02_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English results_elseif02 DistilBertForQuestionAnswering from Elseif02
+author: John Snow Labs
+name: results_elseif02
+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.`results_elseif02` is a English model originally trained by Elseif02.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/results_elseif02_en_5.5.0_3.0_1725722668785.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/results_elseif02_en_5.5.0_3.0_1725722668785.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|results_elseif02|
+|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/Elseif02/results
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-roberta_base_epoch_41_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-roberta_base_epoch_41_pipeline_en.md
new file mode 100644
index 00000000000000..7e54ae0ed97878
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-roberta_base_epoch_41_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_epoch_41_pipeline pipeline RoBertaEmbeddings from yanaiela
+author: John Snow Labs
+name: roberta_base_epoch_41_pipeline
+date: 2024-09-07
+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_41_pipeline` is a English model originally trained by yanaiela.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_41_pipeline_en_5.5.0_3.0_1725678851719.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_41_pipeline_en_5.5.0_3.0_1725678851719.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_epoch_41_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_epoch_41_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_epoch_41_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_41
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-roberta_base_epoch_43_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-roberta_base_epoch_43_pipeline_en.md
new file mode 100644
index 00000000000000..816209164378d4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-roberta_base_epoch_43_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_epoch_43_pipeline pipeline RoBertaEmbeddings from yanaiela
+author: John Snow Labs
+name: roberta_base_epoch_43_pipeline
+date: 2024-09-07
+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_43_pipeline` is a English model originally trained by yanaiela.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_43_pipeline_en_5.5.0_3.0_1725673570339.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_43_pipeline_en_5.5.0_3.0_1725673570339.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_epoch_43_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_epoch_43_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_epoch_43_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_43
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-roberta_base_ner_demo_turshilt2_pipeline_mn.md b/docs/_posts/ahmedlone127/2024-09-07-roberta_base_ner_demo_turshilt2_pipeline_mn.md
new file mode 100644
index 00000000000000..a17257e6733def
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-roberta_base_ner_demo_turshilt2_pipeline_mn.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Mongolian roberta_base_ner_demo_turshilt2_pipeline pipeline RoBertaForTokenClassification from sanchirjav
+author: John Snow Labs
+name: roberta_base_ner_demo_turshilt2_pipeline
+date: 2024-09-07
+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_turshilt2_pipeline` is a Mongolian model originally trained by sanchirjav.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_ner_demo_turshilt2_pipeline_mn_5.5.0_3.0_1725708033763.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_ner_demo_turshilt2_pipeline_mn_5.5.0_3.0_1725708033763.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_turshilt2_pipeline", lang = "mn")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_ner_demo_turshilt2_pipeline", lang = "mn")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_ner_demo_turshilt2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|mn|
+|Size:|465.7 MB|
+
+## References
+
+https://huggingface.co/sanchirjav/roberta-base-ner-demo-turshilt2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-roberta_conll_learning_rate1e4_en.md b/docs/_posts/ahmedlone127/2024-09-07-roberta_conll_learning_rate1e4_en.md
new file mode 100644
index 00000000000000..b088d834cc15de
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-roberta_conll_learning_rate1e4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_conll_learning_rate1e4 RoBertaForTokenClassification from ICT2214Team7
+author: John Snow Labs
+name: roberta_conll_learning_rate1e4
+date: 2024-09-07
+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_conll_learning_rate1e4` is a English model originally trained by ICT2214Team7.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_conll_learning_rate1e4_en_5.5.0_3.0_1725721069603.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_conll_learning_rate1e4_en_5.5.0_3.0_1725721069603.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_conll_learning_rate1e4|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|306.6 MB|
+
+## References
+
+https://huggingface.co/ICT2214Team7/RoBERTa_conll_learning_rate1e4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-roberta_india_ner_trainer_en.md b/docs/_posts/ahmedlone127/2024-09-07-roberta_india_ner_trainer_en.md
new file mode 100644
index 00000000000000..1a2b98bc11d33a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-roberta_india_ner_trainer_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_india_ner_trainer RoBertaForTokenClassification from iamfadi
+author: John Snow Labs
+name: roberta_india_ner_trainer
+date: 2024-09-07
+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_india_ner_trainer` is a English model originally trained by iamfadi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_india_ner_trainer_en_5.5.0_3.0_1725668580107.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_india_ner_trainer_en_5.5.0_3.0_1725668580107.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|scoris_maltese_english_lithuanian|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|lt|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/scoris/scoris-mt-en-lt
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-sent_albert_persian_farsi_zwnj_base_v2_pipeline_fa.md b/docs/_posts/ahmedlone127/2024-09-07-sent_albert_persian_farsi_zwnj_base_v2_pipeline_fa.md
new file mode 100644
index 00000000000000..cfa7e6e3c7c38d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-sent_albert_persian_farsi_zwnj_base_v2_pipeline_fa.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: Persian sent_albert_persian_farsi_zwnj_base_v2_pipeline pipeline BertSentenceEmbeddings from HooshvareLab
+author: John Snow Labs
+name: sent_albert_persian_farsi_zwnj_base_v2_pipeline
+date: 2024-09-07
+tags: [fa, open_source, pipeline, onnx]
+task: Embeddings
+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 BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_albert_persian_farsi_zwnj_base_v2_pipeline` is a Persian model originally trained by HooshvareLab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_albert_persian_farsi_zwnj_base_v2_pipeline_fa_5.5.0_3.0_1725724753332.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_albert_persian_farsi_zwnj_base_v2_pipeline_fa_5.5.0_3.0_1725724753332.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_albert_persian_farsi_zwnj_base_v2_pipeline", lang = "fa")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_albert_persian_farsi_zwnj_base_v2_pipeline", lang = "fa")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_albert_persian_farsi_zwnj_base_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|fa|
+|Size:|42.4 MB|
+
+## References
+
+https://huggingface.co/HooshvareLab/albert-fa-zwnj-base-v2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-sent_alephbertgimmel_base_512_he.md b/docs/_posts/ahmedlone127/2024-09-07-sent_alephbertgimmel_base_512_he.md
new file mode 100644
index 00000000000000..7fccc54ed6afe1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-sent_alephbertgimmel_base_512_he.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Hebrew sent_alephbertgimmel_base_512 BertSentenceEmbeddings from imvladikon
+author: John Snow Labs
+name: sent_alephbertgimmel_base_512
+date: 2024-09-07
+tags: [he, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: he
+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_alephbertgimmel_base_512` is a Hebrew model originally trained by imvladikon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_alephbertgimmel_base_512_he_5.5.0_3.0_1725700996962.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_alephbertgimmel_base_512_he_5.5.0_3.0_1725700996962.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_alephbertgimmel_base_512|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|he|
+|Size:|690.4 MB|
+
+## References
+
+https://huggingface.co/imvladikon/alephbertgimmel-base-512
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-sent_bertislav_cu.md b/docs/_posts/ahmedlone127/2024-09-07-sent_bertislav_cu.md
new file mode 100644
index 00000000000000..9bfa66af615adf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-sent_bertislav_cu.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Church Slavic, Church Slavonic, Old Bulgarian, Old Church Slavonic, Old Slavonic sent_bertislav BertSentenceEmbeddings from npedrazzini
+author: John Snow Labs
+name: sent_bertislav
+date: 2024-09-07
+tags: [cu, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: cu
+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_bertislav` is a Church Slavic, Church Slavonic, Old Bulgarian, Old Church Slavonic, Old Slavonic model originally trained by npedrazzini.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bertislav_cu_5.5.0_3.0_1725724780226.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bertislav_cu_5.5.0_3.0_1725724780226.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bertislav|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|cu|
+|Size:|666.9 MB|
+
+## References
+
+https://huggingface.co/npedrazzini/BERTislav
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-sent_financialbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-sent_financialbert_pipeline_en.md
new file mode 100644
index 00000000000000..b24dec0bfa8993
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-sent_financialbert_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_financialbert_pipeline pipeline BertSentenceEmbeddings from ahmedrachid
+author: John Snow Labs
+name: sent_financialbert_pipeline
+date: 2024-09-07
+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_financialbert_pipeline` is a English model originally trained by ahmedrachid.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_financialbert_pipeline_en_5.5.0_3.0_1725700759612.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_financialbert_pipeline_en_5.5.0_3.0_1725700759612.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_financialbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_financialbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_financialbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|410.0 MB|
+
+## References
+
+https://huggingface.co/ahmedrachid/FinancialBERT
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-sent_medbert_en.md b/docs/_posts/ahmedlone127/2024-09-07-sent_medbert_en.md
new file mode 100644
index 00000000000000..4892f1762c529d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-sent_medbert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_medbert BertSentenceEmbeddings from Charangan
+author: John Snow Labs
+name: sent_medbert
+date: 2024-09-07
+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_medbert` is a English model originally trained by Charangan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_medbert_en_5.5.0_3.0_1725725547070.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_medbert_en_5.5.0_3.0_1725725547070.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_medbert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/Charangan/MedBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-sent_pharmbert_cased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-sent_pharmbert_cased_pipeline_en.md
new file mode 100644
index 00000000000000..72c54b1f088fa5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-sent_pharmbert_cased_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_pharmbert_cased_pipeline pipeline BertSentenceEmbeddings from Lianglab
+author: John Snow Labs
+name: sent_pharmbert_cased_pipeline
+date: 2024-09-07
+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_pharmbert_cased_pipeline` is a English model originally trained by Lianglab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_pharmbert_cased_pipeline_en_5.5.0_3.0_1725736655062.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_pharmbert_cased_pipeline_en_5.5.0_3.0_1725736655062.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_pharmbert_cased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_pharmbert_cased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_pharmbert_cased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|404.1 MB|
+
+## References
+
+https://huggingface.co/Lianglab/PharmBERT-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-sent_xlm_roberta_base_finetuned_hkdse_english_paper4_en.md b/docs/_posts/ahmedlone127/2024-09-07-sent_xlm_roberta_base_finetuned_hkdse_english_paper4_en.md
new file mode 100644
index 00000000000000..ec6e9c6038b977
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-sent_xlm_roberta_base_finetuned_hkdse_english_paper4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_xlm_roberta_base_finetuned_hkdse_english_paper4 XlmRoBertaSentenceEmbeddings from Wootang01
+author: John Snow Labs
+name: sent_xlm_roberta_base_finetuned_hkdse_english_paper4
+date: 2024-09-07
+tags: [en, open_source, onnx, sentence_embeddings, xlm_roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_xlm_roberta_base_finetuned_hkdse_english_paper4` is a English model originally trained by Wootang01.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_xlm_roberta_base_finetuned_hkdse_english_paper4_en_5.5.0_3.0_1725737771942.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_xlm_roberta_base_finetuned_hkdse_english_paper4_en_5.5.0_3.0_1725737771942.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_xlm_roberta_base_finetuned_hkdse_english_paper4|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|977.5 MB|
+
+## References
+
+https://huggingface.co/Wootang01/xlm-roberta-base-finetuned-hkdse-english-paper4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-sent_xlm_roberta_base_finetuned_hkdse_english_paper4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-sent_xlm_roberta_base_finetuned_hkdse_english_paper4_pipeline_en.md
new file mode 100644
index 00000000000000..92131c04e52372
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-sent_xlm_roberta_base_finetuned_hkdse_english_paper4_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_xlm_roberta_base_finetuned_hkdse_english_paper4_pipeline pipeline XlmRoBertaSentenceEmbeddings from Wootang01
+author: John Snow Labs
+name: sent_xlm_roberta_base_finetuned_hkdse_english_paper4_pipeline
+date: 2024-09-07
+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 XlmRoBertaSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_xlm_roberta_base_finetuned_hkdse_english_paper4_pipeline` is a English model originally trained by Wootang01.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_xlm_roberta_base_finetuned_hkdse_english_paper4_pipeline_en_5.5.0_3.0_1725737843441.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_xlm_roberta_base_finetuned_hkdse_english_paper4_pipeline_en_5.5.0_3.0_1725737843441.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_xlm_roberta_base_finetuned_hkdse_english_paper4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_xlm_roberta_base_finetuned_hkdse_english_paper4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_xlm_roberta_base_finetuned_hkdse_english_paper4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|978.1 MB|
+
+## References
+
+https://huggingface.co/Wootang01/xlm-roberta-base-finetuned-hkdse-english-paper4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- XlmRoBertaSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-sent_xlm_roberta_longformer_base_4096_markussagen_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-sent_xlm_roberta_longformer_base_4096_markussagen_pipeline_en.md
new file mode 100644
index 00000000000000..6f413b053b9455
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-sent_xlm_roberta_longformer_base_4096_markussagen_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_xlm_roberta_longformer_base_4096_markussagen_pipeline pipeline XlmRoBertaSentenceEmbeddings from markussagen
+author: John Snow Labs
+name: sent_xlm_roberta_longformer_base_4096_markussagen_pipeline
+date: 2024-09-07
+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 XlmRoBertaSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_xlm_roberta_longformer_base_4096_markussagen_pipeline` is a English model originally trained by markussagen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_xlm_roberta_longformer_base_4096_markussagen_pipeline_en_5.5.0_3.0_1725682102845.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_xlm_roberta_longformer_base_4096_markussagen_pipeline_en_5.5.0_3.0_1725682102845.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_xlm_roberta_longformer_base_4096_markussagen_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_xlm_roberta_longformer_base_4096_markussagen_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_xlm_roberta_longformer_base_4096_markussagen_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/markussagen/xlm-roberta-longformer-base-4096
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- XlmRoBertaSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-sentencepiecebpe_nachos_french_en.md b/docs/_posts/ahmedlone127/2024-09-07-sentencepiecebpe_nachos_french_en.md
new file mode 100644
index 00000000000000..8bb54a9fbf45af
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-sentencepiecebpe_nachos_french_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sentencepiecebpe_nachos_french CamemBertEmbeddings from BioMedTok
+author: John Snow Labs
+name: sentencepiecebpe_nachos_french
+date: 2024-09-07
+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.`sentencepiecebpe_nachos_french` is a English model originally trained by BioMedTok.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentencepiecebpe_nachos_french_en_5.5.0_3.0_1725691301051.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentencepiecebpe_nachos_french_en_5.5.0_3.0_1725691301051.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_misinformation_on_organizations_gofundme_wef|
+|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-Misinformation-on-Organizations-GoFundMe-WEF
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-spanish_finnish_all_quy_1_en.md b/docs/_posts/ahmedlone127/2024-09-07-spanish_finnish_all_quy_1_en.md
new file mode 100644
index 00000000000000..54636f89caa80b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-spanish_finnish_all_quy_1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English spanish_finnish_all_quy_1 MarianTransformer from nouman-10
+author: John Snow Labs
+name: spanish_finnish_all_quy_1
+date: 2024-09-07
+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.`spanish_finnish_all_quy_1` is a English model originally trained by nouman-10.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/spanish_finnish_all_quy_1_en_5.5.0_3.0_1725747587436.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/spanish_finnish_all_quy_1_en_5.5.0_3.0_1725747587436.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|spanish_finnish_all_quy_1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|530.5 MB|
+
+## References
+
+https://huggingface.co/nouman-10/es_fi_all_quy_1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-stanford_deidentifier_base_finetuned_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-stanford_deidentifier_base_finetuned_ner_pipeline_en.md
new file mode 100644
index 00000000000000..afafe4fc63a236
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-stanford_deidentifier_base_finetuned_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English stanford_deidentifier_base_finetuned_ner_pipeline pipeline BertForTokenClassification from antoineedy
+author: John Snow Labs
+name: stanford_deidentifier_base_finetuned_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 BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`stanford_deidentifier_base_finetuned_ner_pipeline` is a English model originally trained by antoineedy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stanford_deidentifier_base_finetuned_ner_pipeline_en_5.5.0_3.0_1725735078128.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stanford_deidentifier_base_finetuned_ner_pipeline_en_5.5.0_3.0_1725735078128.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("stanford_deidentifier_base_finetuned_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("stanford_deidentifier_base_finetuned_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stanford_deidentifier_base_finetuned_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/antoineedy/stanford-deidentifier-base-finetuned-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-taiyi_roberta_124m_d_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-taiyi_roberta_124m_d_pipeline_en.md
new file mode 100644
index 00000000000000..f23fbb02370f14
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-taiyi_roberta_124m_d_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English taiyi_roberta_124m_d_pipeline pipeline RoBertaEmbeddings from IDEA-CCNL
+author: John Snow Labs
+name: taiyi_roberta_124m_d_pipeline
+date: 2024-09-07
+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.`taiyi_roberta_124m_d_pipeline` is a English model originally trained by IDEA-CCNL.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/taiyi_roberta_124m_d_pipeline_en_5.5.0_3.0_1725673018719.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/taiyi_roberta_124m_d_pipeline_en_5.5.0_3.0_1725673018719.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("taiyi_roberta_124m_d_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("taiyi_roberta_124m_d_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|taiyi_roberta_124m_d_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.0 MB|
+
+## References
+
+https://huggingface.co/IDEA-CCNL/Taiyi-Roberta-124M-D
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-testchatbotmodel1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-testchatbotmodel1_pipeline_en.md
new file mode 100644
index 00000000000000..ddad965ee88dff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-testchatbotmodel1_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English testchatbotmodel1_pipeline pipeline DistilBertForQuestionAnswering from TheoND
+author: John Snow Labs
+name: testchatbotmodel1_pipeline
+date: 2024-09-07
+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.`testchatbotmodel1_pipeline` is a English model originally trained by TheoND.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/testchatbotmodel1_pipeline_en_5.5.0_3.0_1725695572615.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/testchatbotmodel1_pipeline_en_5.5.0_3.0_1725695572615.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("testchatbotmodel1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("testchatbotmodel1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|testchatbotmodel1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/TheoND/testchatbotmodel1
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-testing_en.md b/docs/_posts/ahmedlone127/2024-09-07-testing_en.md
new file mode 100644
index 00000000000000..2b5eac336e9e51
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-testing_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English testing DistilBertForQuestionAnswering from Sybghat
+author: John Snow Labs
+name: testing
+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.`testing` is a English model originally trained by Sybghat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/testing_en_5.5.0_3.0_1725695525272.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/testing_en_5.5.0_3.0_1725695525272.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_gujarati_small|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|gu|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/vasista22/whisper-gujarati-small
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-xlm_r_squad_serbian_lat_pipeline_sr.md b/docs/_posts/ahmedlone127/2024-09-07-xlm_r_squad_serbian_lat_pipeline_sr.md
new file mode 100644
index 00000000000000..bcdb6317b0cad5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-xlm_r_squad_serbian_lat_pipeline_sr.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Serbian xlm_r_squad_serbian_lat_pipeline pipeline XlmRoBertaForQuestionAnswering from aleksahet
+author: John Snow Labs
+name: xlm_r_squad_serbian_lat_pipeline
+date: 2024-09-07
+tags: [sr, open_source, pipeline, onnx]
+task: Question Answering
+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 XlmRoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_r_squad_serbian_lat_pipeline` is a Serbian model originally trained by aleksahet.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_r_squad_serbian_lat_pipeline_sr_5.5.0_3.0_1725686224800.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_r_squad_serbian_lat_pipeline_sr_5.5.0_3.0_1725686224800.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_r_squad_serbian_lat_pipeline", lang = "sr")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_r_squad_serbian_lat_pipeline", lang = "sr")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_r_squad_serbian_lat_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|sr|
+|Size:|816.7 MB|
+
+## References
+
+https://huggingface.co/aleksahet/xlm-r-squad-sr-lat
+
+## Included Models
+
+- MultiDocumentAssembler
+- XlmRoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-xlm_r_squad_serbian_lat_sr.md b/docs/_posts/ahmedlone127/2024-09-07-xlm_r_squad_serbian_lat_sr.md
new file mode 100644
index 00000000000000..27f07063f281f7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-xlm_r_squad_serbian_lat_sr.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: Serbian xlm_r_squad_serbian_lat XlmRoBertaForQuestionAnswering from aleksahet
+author: John Snow Labs
+name: xlm_r_squad_serbian_lat
+date: 2024-09-07
+tags: [sr, open_source, onnx, question_answering, xlm_roberta]
+task: Question Answering
+language: sr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_r_squad_serbian_lat` is a Serbian model originally trained by aleksahet.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_r_squad_serbian_lat_sr_5.5.0_3.0_1725686103451.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_r_squad_serbian_lat_sr_5.5.0_3.0_1725686103451.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_r_squad_serbian_lat|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|sr|
+|Size:|816.7 MB|
+
+## References
+
+https://huggingface.co/aleksahet/xlm-r-squad-sr-lat
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-xlm_roberta_base_finetuned_panx_all_ahmad_alismail_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-xlm_roberta_base_finetuned_panx_all_ahmad_alismail_pipeline_en.md
new file mode 100644
index 00000000000000..9405fb15795855
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-xlm_roberta_base_finetuned_panx_all_ahmad_alismail_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_all_ahmad_alismail_pipeline pipeline XlmRoBertaForTokenClassification from ahmad-alismail
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_all_ahmad_alismail_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_ahmad_alismail_pipeline` is a English model originally trained by ahmad-alismail.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_ahmad_alismail_pipeline_en_5.5.0_3.0_1725687226364.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_ahmad_alismail_pipeline_en_5.5.0_3.0_1725687226364.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_ahmad_alismail_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_all_ahmad_alismail_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_all_ahmad_alismail_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|858.2 MB|
+
+## References
+
+https://huggingface.co/ahmad-alismail/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_english_bessho_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-xlm_roberta_base_finetuned_panx_english_bessho_pipeline_en.md
new file mode 100644
index 00000000000000..82ed66244454e7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-xlm_roberta_base_finetuned_panx_english_bessho_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_bessho_pipeline pipeline XlmRoBertaForTokenClassification from bessho
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_bessho_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_english_bessho_pipeline` is a English model originally trained by bessho.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_bessho_pipeline_en_5.5.0_3.0_1725743494181.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_bessho_pipeline_en_5.5.0_3.0_1725743494181.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_bessho_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_english_bessho_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_english_bessho_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|826.4 MB|
+
+## References
+
+https://huggingface.co/bessho/xlm-roberta-base-finetuned-panx-en
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-xlm_roberta_base_finetuned_panx_french_henryjiang_en.md b/docs/_posts/ahmedlone127/2024-09-07-xlm_roberta_base_finetuned_panx_french_henryjiang_en.md
new file mode 100644
index 00000000000000..454885f2cb1293
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-xlm_roberta_base_finetuned_panx_french_henryjiang_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_henryjiang XlmRoBertaForTokenClassification from henryjiang
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_henryjiang
+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_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_french_henryjiang_en_5.5.0_3.0_1725744385576.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_henryjiang_en_5.5.0_3.0_1725744385576.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_henryjiang|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|843.5 MB|
+
+## References
+
+https://huggingface.co/henryjiang/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_french_benjiccee_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-xlm_roberta_base_finetuned_panx_german_french_benjiccee_pipeline_en.md
new file mode 100644
index 00000000000000..e0e426d9bb8a55
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-xlm_roberta_base_finetuned_panx_german_french_benjiccee_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_benjiccee_pipeline pipeline XlmRoBertaForTokenClassification from Benjiccee
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_benjiccee_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_french_benjiccee_pipeline` is a English model originally trained by Benjiccee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_benjiccee_pipeline_en_5.5.0_3.0_1725694616239.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_benjiccee_pipeline_en_5.5.0_3.0_1725694616239.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_benjiccee_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_benjiccee_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_benjiccee_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|858.2 MB|
+
+## References
+
+https://huggingface.co/Benjiccee/xlm-roberta-base-finetuned-panx-de-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-xlm_roberta_base_finetuned_panx_german_french_transformersbook_en.md b/docs/_posts/ahmedlone127/2024-09-07-xlm_roberta_base_finetuned_panx_german_french_transformersbook_en.md
new file mode 100644
index 00000000000000..5767b8c4b88ae8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-xlm_roberta_base_finetuned_panx_german_french_transformersbook_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_transformersbook XlmRoBertaForTokenClassification from transformersbook
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_transformersbook
+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_french_transformersbook` is a English model originally trained by transformersbook.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_transformersbook_en_5.5.0_3.0_1725745360239.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_transformersbook_en_5.5.0_3.0_1725745360239.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_transformersbook|
+|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/transformersbook/xlm-roberta-base-finetuned-panx-de-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-xlm_roberta_base_finetuned_panx_german_french_yasu320001_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-xlm_roberta_base_finetuned_panx_german_french_yasu320001_pipeline_en.md
new file mode 100644
index 00000000000000..5afee387876e03
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-xlm_roberta_base_finetuned_panx_german_french_yasu320001_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_yasu320001_pipeline pipeline XlmRoBertaForTokenClassification from yasu320001
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_yasu320001_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_french_yasu320001_pipeline` is a English model originally trained by yasu320001.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_yasu320001_pipeline_en_5.5.0_3.0_1725705622791.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_yasu320001_pipeline_en_5.5.0_3.0_1725705622791.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_yasu320001_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_yasu320001_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_yasu320001_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|858.2 MB|
+
+## References
+
+https://huggingface.co/yasu320001/xlm-roberta-base-finetuned-panx-de-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-xlm_roberta_base_finetuned_panx_german_french_yezune_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-xlm_roberta_base_finetuned_panx_german_french_yezune_pipeline_en.md
new file mode 100644
index 00000000000000..232bd39de07313
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-xlm_roberta_base_finetuned_panx_german_french_yezune_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_yezune_pipeline pipeline XlmRoBertaForTokenClassification from yezune
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_yezune_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_french_yezune_pipeline` is a English model originally trained by yezune.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_yezune_pipeline_en_5.5.0_3.0_1725705268079.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_yezune_pipeline_en_5.5.0_3.0_1725705268079.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_yezune_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_yezune_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_yezune_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|858.2 MB|
+
+## References
+
+https://huggingface.co/yezune/xlm-roberta-base-finetuned-panx-de-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-xlm_roberta_base_finetuned_sayula_popoluca_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-xlm_roberta_base_finetuned_sayula_popoluca_pipeline_en.md
new file mode 100644
index 00000000000000..6b4bda5a25cd24
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-xlm_roberta_base_finetuned_sayula_popoluca_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_sayula_popoluca_pipeline pipeline XlmRoBertaForTokenClassification from muhammadbilal
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_sayula_popoluca_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_sayula_popoluca_pipeline` is a English model originally trained by muhammadbilal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_sayula_popoluca_pipeline_en_5.5.0_3.0_1725687354380.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_sayula_popoluca_pipeline_en_5.5.0_3.0_1725687354380.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_sayula_popoluca_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_sayula_popoluca_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_sayula_popoluca_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|842.3 MB|
+
+## References
+
+https://huggingface.co/muhammadbilal/xlm-roberta-base-finetuned-pos
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-xlm_roberta_base_panx_dataset_korean_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-xlm_roberta_base_panx_dataset_korean_pipeline_en.md
new file mode 100644
index 00000000000000..04c3139f17ab50
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-xlm_roberta_base_panx_dataset_korean_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_panx_dataset_korean_pipeline pipeline XlmRoBertaForTokenClassification from tner
+author: John Snow Labs
+name: xlm_roberta_base_panx_dataset_korean_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_panx_dataset_korean_pipeline` is a English model originally trained by tner.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_panx_dataset_korean_pipeline_en_5.5.0_3.0_1725688773910.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_panx_dataset_korean_pipeline_en_5.5.0_3.0_1725688773910.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_panx_dataset_korean_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_panx_dataset_korean_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_panx_dataset_korean_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|786.8 MB|
+
+## References
+
+https://huggingface.co/tner/xlm-roberta-base-panx-dataset-ko
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-xlm_roberta_english_russian_emoji_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-xlm_roberta_english_russian_emoji_v2_pipeline_en.md
new file mode 100644
index 00000000000000..c7da3c451a5118
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-xlm_roberta_english_russian_emoji_v2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_english_russian_emoji_v2_pipeline pipeline XlmRoBertaForSequenceClassification from amazon-sagemaker-community
+author: John Snow Labs
+name: xlm_roberta_english_russian_emoji_v2_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 XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_english_russian_emoji_v2_pipeline` is a English model originally trained by amazon-sagemaker-community.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_english_russian_emoji_v2_pipeline_en_5.5.0_3.0_1725711783638.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_english_russian_emoji_v2_pipeline_en_5.5.0_3.0_1725711783638.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_english_russian_emoji_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_english_russian_emoji_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_english_russian_emoji_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/amazon-sagemaker-community/xlm-roberta-en-ru-emoji-v2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-xlmroberta_ner_xlm_roberta_base_finetuned_panx_ner_it.md b/docs/_posts/ahmedlone127/2024-09-07-xlmroberta_ner_xlm_roberta_base_finetuned_panx_ner_it.md
new file mode 100644
index 00000000000000..bfdc061418f04d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-xlmroberta_ner_xlm_roberta_base_finetuned_panx_ner_it.md
@@ -0,0 +1,112 @@
+---
+layout: model
+title: Italian Named Entity Recognition (from gunghio)
+author: John Snow Labs
+name: xlmroberta_ner_xlm_roberta_base_finetuned_panx_ner
+date: 2024-09-07
+tags: [xlm_roberta, ner, token_classification, it, open_source, onnx]
+task: Named Entity Recognition
+language: it
+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 Named Entity Recognition model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `xlm-roberta-base-finetuned-panx-ner` is a Italian model orginally trained by `gunghio`.
+
+## Predicted Entities
+
+`LOC`, `ORG`, `PER`
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlmroberta_ner_xlm_roberta_base_finetuned_panx_ner_it_5.5.0_3.0_1725743869379.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlmroberta_ner_xlm_roberta_base_finetuned_panx_ner_it_5.5.0_3.0_1725743869379.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|8_shot_sta_head_trained_lr1e_4|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[mpnet]|
+|Language:|en|
+|Size:|407.0 MB|
+
+## References
+
+https://huggingface.co/Nhat1904/8_shot_STA_head_trained_lr1e-4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-albert_model__25_3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-albert_model__25_3_pipeline_en.md
new file mode 100644
index 00000000000000..77295e633c42cf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-albert_model__25_3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English albert_model__25_3_pipeline pipeline DistilBertForSequenceClassification from KalaiselvanD
+author: John Snow Labs
+name: albert_model__25_3_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.`albert_model__25_3_pipeline` is a English model originally trained by KalaiselvanD.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_model__25_3_pipeline_en_5.5.0_3.0_1725808736728.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_model__25_3_pipeline_en_5.5.0_3.0_1725808736728.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("albert_model__25_3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("albert_model__25_3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_model__25_3_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__25_3
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-albert_xxlarge_v2_disaster_twitter_preprocess_data_en.md b/docs/_posts/ahmedlone127/2024-09-08-albert_xxlarge_v2_disaster_twitter_preprocess_data_en.md
new file mode 100644
index 00000000000000..257f80d073bde5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-albert_xxlarge_v2_disaster_twitter_preprocess_data_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English albert_xxlarge_v2_disaster_twitter_preprocess_data AlbertForSequenceClassification from JiaJiaCen
+author: John Snow Labs
+name: albert_xxlarge_v2_disaster_twitter_preprocess_data
+date: 2024-09-08
+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_xxlarge_v2_disaster_twitter_preprocess_data` is a English model originally trained by JiaJiaCen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_xxlarge_v2_disaster_twitter_preprocess_data_en_5.5.0_3.0_1725755547311.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_xxlarge_v2_disaster_twitter_preprocess_data_en_5.5.0_3.0_1725755547311.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_xxlarge_v2_disaster_twitter_preprocess_data|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|833.9 MB|
+
+## References
+
+https://huggingface.co/JiaJiaCen/albert-xxlarge-v2-disaster-twitter-preprocess_data
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-all_mpnet_base_newtriplets_v2_lr_1e_8_m_5_e_3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-all_mpnet_base_newtriplets_v2_lr_1e_8_m_5_e_3_pipeline_en.md
new file mode 100644
index 00000000000000..4b5f6047b8a6bf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-all_mpnet_base_newtriplets_v2_lr_1e_8_m_5_e_3_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English all_mpnet_base_newtriplets_v2_lr_1e_8_m_5_e_3_pipeline pipeline MPNetEmbeddings from luiz-and-robert-thesis
+author: John Snow Labs
+name: all_mpnet_base_newtriplets_v2_lr_1e_8_m_5_e_3_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.`all_mpnet_base_newtriplets_v2_lr_1e_8_m_5_e_3_pipeline` 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_base_newtriplets_v2_lr_1e_8_m_5_e_3_pipeline_en_5.5.0_3.0_1725817134191.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_mpnet_base_newtriplets_v2_lr_1e_8_m_5_e_3_pipeline_en_5.5.0_3.0_1725817134191.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("all_mpnet_base_newtriplets_v2_lr_1e_8_m_5_e_3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("all_mpnet_base_newtriplets_v2_lr_1e_8_m_5_e_3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_mpnet_base_newtriplets_v2_lr_1e_8_m_5_e_3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/luiz-and-robert-thesis/all-mpnet-base-newtriplets-v2-lr-1e-8-m-5-e-3
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-all_mpnet_base_v2_bioasq_1epoch_batch32_100steps_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-all_mpnet_base_v2_bioasq_1epoch_batch32_100steps_pipeline_en.md
new file mode 100644
index 00000000000000..c93c9171bca694
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-all_mpnet_base_v2_bioasq_1epoch_batch32_100steps_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English all_mpnet_base_v2_bioasq_1epoch_batch32_100steps_pipeline pipeline MPNetEmbeddings from juanpablomesa
+author: John Snow Labs
+name: all_mpnet_base_v2_bioasq_1epoch_batch32_100steps_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.`all_mpnet_base_v2_bioasq_1epoch_batch32_100steps_pipeline` is a English model originally trained by juanpablomesa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_mpnet_base_v2_bioasq_1epoch_batch32_100steps_pipeline_en_5.5.0_3.0_1725816874316.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_mpnet_base_v2_bioasq_1epoch_batch32_100steps_pipeline_en_5.5.0_3.0_1725816874316.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("all_mpnet_base_v2_bioasq_1epoch_batch32_100steps_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("all_mpnet_base_v2_bioasq_1epoch_batch32_100steps_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_mpnet_base_v2_bioasq_1epoch_batch32_100steps_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/juanpablomesa/all-mpnet-base-v2-bioasq-1epoch-batch32-100steps
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-all_mpnet_base_v2_sts_jilangdi_en.md b/docs/_posts/ahmedlone127/2024-09-08-all_mpnet_base_v2_sts_jilangdi_en.md
new file mode 100644
index 00000000000000..897999a251775d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-all_mpnet_base_v2_sts_jilangdi_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English all_mpnet_base_v2_sts_jilangdi MPNetEmbeddings from jilangdi
+author: John Snow Labs
+name: all_mpnet_base_v2_sts_jilangdi
+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_sts_jilangdi` is a English model originally trained by jilangdi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_mpnet_base_v2_sts_jilangdi_en_5.5.0_3.0_1725817108086.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_mpnet_base_v2_sts_jilangdi_en_5.5.0_3.0_1725817108086.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_sts_jilangdi|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[mpnet]|
+|Language:|en|
+|Size:|406.7 MB|
+
+## References
+
+https://huggingface.co/jilangdi/all-mpnet-base-v2-sts
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-all_mpnet_base_v2_sts_jilangdi_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-all_mpnet_base_v2_sts_jilangdi_pipeline_en.md
new file mode 100644
index 00000000000000..3750f00bf2759b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-all_mpnet_base_v2_sts_jilangdi_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English all_mpnet_base_v2_sts_jilangdi_pipeline pipeline MPNetEmbeddings from jilangdi
+author: John Snow Labs
+name: all_mpnet_base_v2_sts_jilangdi_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.`all_mpnet_base_v2_sts_jilangdi_pipeline` is a English model originally trained by jilangdi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_mpnet_base_v2_sts_jilangdi_pipeline_en_5.5.0_3.0_1725817134568.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_mpnet_base_v2_sts_jilangdi_pipeline_en_5.5.0_3.0_1725817134568.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("all_mpnet_base_v2_sts_jilangdi_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("all_mpnet_base_v2_sts_jilangdi_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_mpnet_base_v2_sts_jilangdi_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.7 MB|
+
+## References
+
+https://huggingface.co/jilangdi/all-mpnet-base-v2-sts
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-autotrain_event_en.md b/docs/_posts/ahmedlone127/2024-09-08-autotrain_event_en.md
new file mode 100644
index 00000000000000..3bc377222a973e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-autotrain_event_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English autotrain_event BertForSequenceClassification from Woao
+author: John Snow Labs
+name: autotrain_event
+date: 2024-09-08
+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_event` is a English model originally trained by Woao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_event_en_5.5.0_3.0_1725825732574.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_event_en_5.5.0_3.0_1725825732574.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autotrain_event|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|383.0 MB|
+
+## References
+
+https://huggingface.co/Woao/autotrain-EVENT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-babyberta_aochildes_2_5m_aochildes_french_without_masking_seed6_finetuned_squad_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-babyberta_aochildes_2_5m_aochildes_french_without_masking_seed6_finetuned_squad_pipeline_en.md
new file mode 100644
index 00000000000000..4874386a3b900e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-babyberta_aochildes_2_5m_aochildes_french_without_masking_seed6_finetuned_squad_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English babyberta_aochildes_2_5m_aochildes_french_without_masking_seed6_finetuned_squad_pipeline pipeline RoBertaForQuestionAnswering from lielbin
+author: John Snow Labs
+name: babyberta_aochildes_2_5m_aochildes_french_without_masking_seed6_finetuned_squad_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 RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`babyberta_aochildes_2_5m_aochildes_french_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_aochildes_2_5m_aochildes_french_without_masking_seed6_finetuned_squad_pipeline_en_5.5.0_3.0_1725833285849.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/babyberta_aochildes_2_5m_aochildes_french_without_masking_seed6_finetuned_squad_pipeline_en_5.5.0_3.0_1725833285849.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_aochildes_french_without_masking_seed6_finetuned_squad_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("babyberta_aochildes_2_5m_aochildes_french_without_masking_seed6_finetuned_squad_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|babyberta_aochildes_2_5m_aochildes_french_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-aochildes_2.5M_aochildes-french-without-Masking-seed6-finetuned-SQuAD
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-babyberta_wikipedia_french1_25m_wikipedia1_1_25mm_without_masking_finetuned_squad_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-babyberta_wikipedia_french1_25m_wikipedia1_1_25mm_without_masking_finetuned_squad_pipeline_en.md
new file mode 100644
index 00000000000000..12bf3dfaa9a372
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-babyberta_wikipedia_french1_25m_wikipedia1_1_25mm_without_masking_finetuned_squad_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English babyberta_wikipedia_french1_25m_wikipedia1_1_25mm_without_masking_finetuned_squad_pipeline pipeline RoBertaForQuestionAnswering from lielbin
+author: John Snow Labs
+name: babyberta_wikipedia_french1_25m_wikipedia1_1_25mm_without_masking_finetuned_squad_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 RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`babyberta_wikipedia_french1_25m_wikipedia1_1_25mm_without_masking_finetuned_squad_pipeline` is a English model originally trained by lielbin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/babyberta_wikipedia_french1_25m_wikipedia1_1_25mm_without_masking_finetuned_squad_pipeline_en_5.5.0_3.0_1725833632572.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/babyberta_wikipedia_french1_25m_wikipedia1_1_25mm_without_masking_finetuned_squad_pipeline_en_5.5.0_3.0_1725833632572.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("babyberta_wikipedia_french1_25m_wikipedia1_1_25mm_without_masking_finetuned_squad_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("babyberta_wikipedia_french1_25m_wikipedia1_1_25mm_without_masking_finetuned_squad_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|babyberta_wikipedia_french1_25m_wikipedia1_1_25mm_without_masking_finetuned_squad_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|31.9 MB|
+
+## References
+
+https://huggingface.co/lielbin/BabyBERTa-wikipedia_french1.25M_wikipedia1_1.25MM-without-Masking-finetuned-SQuAD
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-bcms_bertic_parlasent_bcs_ter_pipeline_hr.md b/docs/_posts/ahmedlone127/2024-09-08-bcms_bertic_parlasent_bcs_ter_pipeline_hr.md
new file mode 100644
index 00000000000000..e24d9d570aa3ac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-bcms_bertic_parlasent_bcs_ter_pipeline_hr.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Croatian bcms_bertic_parlasent_bcs_ter_pipeline pipeline BertForSequenceClassification from classla
+author: John Snow Labs
+name: bcms_bertic_parlasent_bcs_ter_pipeline
+date: 2024-09-08
+tags: [hr, open_source, pipeline, onnx]
+task: Text Classification
+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 BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bcms_bertic_parlasent_bcs_ter_pipeline` 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_pipeline_hr_5.5.0_3.0_1725826074429.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bcms_bertic_parlasent_bcs_ter_pipeline_hr_5.5.0_3.0_1725826074429.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bcms_bertic_parlasent_bcs_ter_pipeline", lang = "hr")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bcms_bertic_parlasent_bcs_ter_pipeline", lang = "hr")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bcms_bertic_parlasent_bcs_ter_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|hr|
+|Size:|414.9 MB|
+
+## References
+
+https://huggingface.co/classla/bcms-bertic-parlasent-bcs-ter
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-beep_kanuri_medium_hate_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-beep_kanuri_medium_hate_pipeline_en.md
new file mode 100644
index 00000000000000..73e4781c7a8c1d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-beep_kanuri_medium_hate_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English beep_kanuri_medium_hate_pipeline pipeline BertForSequenceClassification from beomi
+author: John Snow Labs
+name: beep_kanuri_medium_hate_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.`beep_kanuri_medium_hate_pipeline` is a English model originally trained by beomi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/beep_kanuri_medium_hate_pipeline_en_5.5.0_3.0_1725819630330.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/beep_kanuri_medium_hate_pipeline_en_5.5.0_3.0_1725819630330.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("beep_kanuri_medium_hate_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("beep_kanuri_medium_hate_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|beep_kanuri_medium_hate_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|380.3 MB|
+
+## References
+
+https://huggingface.co/beomi/beep-KR-Medium-hate
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-bert_base_uncased_twitter_sentiment_analysis_v2_en.md b/docs/_posts/ahmedlone127/2024-09-08-bert_base_uncased_twitter_sentiment_analysis_v2_en.md
new file mode 100644
index 00000000000000..01c75f568f51b2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-bert_base_uncased_twitter_sentiment_analysis_v2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_twitter_sentiment_analysis_v2 BertForSequenceClassification from DunnBC22
+author: John Snow Labs
+name: bert_base_uncased_twitter_sentiment_analysis_v2
+date: 2024-09-08
+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_twitter_sentiment_analysis_v2` is a English model originally trained by DunnBC22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_twitter_sentiment_analysis_v2_en_5.5.0_3.0_1725825451058.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_twitter_sentiment_analysis_v2_en_5.5.0_3.0_1725825451058.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_twitter_sentiment_analysis_v2|
+|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/DunnBC22/bert-base-uncased-Twitter_Sentiment_Analysis_v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-bert_base_uncased_twitter_sentiment_analysis_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-bert_base_uncased_twitter_sentiment_analysis_v2_pipeline_en.md
new file mode 100644
index 00000000000000..9ef0ebaef83e6b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-bert_base_uncased_twitter_sentiment_analysis_v2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_twitter_sentiment_analysis_v2_pipeline pipeline BertForSequenceClassification from DunnBC22
+author: John Snow Labs
+name: bert_base_uncased_twitter_sentiment_analysis_v2_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_base_uncased_twitter_sentiment_analysis_v2_pipeline` is a English model originally trained by DunnBC22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_twitter_sentiment_analysis_v2_pipeline_en_5.5.0_3.0_1725825470615.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_twitter_sentiment_analysis_v2_pipeline_en_5.5.0_3.0_1725825470615.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_twitter_sentiment_analysis_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_twitter_sentiment_analysis_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_twitter_sentiment_analysis_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/DunnBC22/bert-base-uncased-Twitter_Sentiment_Analysis_v2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-bert_cancer_type_extraction2_en.md b/docs/_posts/ahmedlone127/2024-09-08-bert_cancer_type_extraction2_en.md
new file mode 100644
index 00000000000000..b37fae82df22cb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-bert_cancer_type_extraction2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_cancer_type_extraction2 DistilBertForTokenClassification from DrM
+author: John Snow Labs
+name: bert_cancer_type_extraction2
+date: 2024-09-08
+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_cancer_type_extraction2` is a English model originally trained by DrM.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_cancer_type_extraction2_en_5.5.0_3.0_1725837190313.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_cancer_type_extraction2_en_5.5.0_3.0_1725837190313.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_sead_l_6_h_256_a_8_sst2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|47.3 MB|
+
+## References
+
+References
+
+- https://huggingface.co/course5i/SEAD-L-6_H-256_A-8-sst2
+- https://arxiv.org/abs/1910.01108
+- https://arxiv.org/abs/1909.10351
+- https://arxiv.org/abs/2002.10957
+- https://arxiv.org/abs/1810.04805
+- https://arxiv.org/abs/1804.07461
+- https://arxiv.org/abs/1905.00537
+- https://www.adasci.org/journals/lattice-35309407/?volumes=true&open=621a3b18edc4364e8a96cb63
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-bert_finetuned_ner_t1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-bert_finetuned_ner_t1_pipeline_en.md
new file mode 100644
index 00000000000000..6200731c9efb6d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-bert_finetuned_ner_t1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_finetuned_ner_t1_pipeline pipeline DistilBertForTokenClassification from avi10
+author: John Snow Labs
+name: bert_finetuned_ner_t1_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.`bert_finetuned_ner_t1_pipeline` is a English model originally trained by avi10.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_t1_pipeline_en_5.5.0_3.0_1725837292826.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_t1_pipeline_en_5.5.0_3.0_1725837292826.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finetuned_ner_t1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finetuned_ner_t1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_t1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/avi10/bert-finetuned-ner-T1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-bert_french_ner_datascience_service_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-bert_french_ner_datascience_service_pipeline_en.md
new file mode 100644
index 00000000000000..0cb169501d8de4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-bert_french_ner_datascience_service_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_french_ner_datascience_service_pipeline pipeline BertForTokenClassification from datascience-service
+author: John Snow Labs
+name: bert_french_ner_datascience_service_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 BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_french_ner_datascience_service_pipeline` is a English model originally trained by datascience-service.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_french_ner_datascience_service_pipeline_en_5.5.0_3.0_1725834923011.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_french_ner_datascience_service_pipeline_en_5.5.0_3.0_1725834923011.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_french_ner_datascience_service_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_french_ner_datascience_service_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_french_ner_datascience_service_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/datascience-service/bert-french-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-bert_phishing_classifier_teacher_en.md b/docs/_posts/ahmedlone127/2024-09-08-bert_phishing_classifier_teacher_en.md
new file mode 100644
index 00000000000000..22863f91ee4fb3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-bert_phishing_classifier_teacher_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_phishing_classifier_teacher BertForSequenceClassification from shawhin
+author: John Snow Labs
+name: bert_phishing_classifier_teacher
+date: 2024-09-08
+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_phishing_classifier_teacher` is a English model originally trained by shawhin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_phishing_classifier_teacher_en_5.5.0_3.0_1725826192745.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_phishing_classifier_teacher_en_5.5.0_3.0_1725826192745.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_phishing_classifier_teacher|
+|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/shawhin/bert-phishing-classifier_teacher
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-bert_phishing_classifier_teacher_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-bert_phishing_classifier_teacher_pipeline_en.md
new file mode 100644
index 00000000000000..ae555524b97820
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-bert_phishing_classifier_teacher_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_phishing_classifier_teacher_pipeline pipeline BertForSequenceClassification from shawhin
+author: John Snow Labs
+name: bert_phishing_classifier_teacher_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_phishing_classifier_teacher_pipeline` is a English model originally trained by shawhin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_phishing_classifier_teacher_pipeline_en_5.5.0_3.0_1725826212880.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_phishing_classifier_teacher_pipeline_en_5.5.0_3.0_1725826212880.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_phishing_classifier_teacher_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_phishing_classifier_teacher_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_phishing_classifier_teacher_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/shawhin/bert-phishing-classifier_teacher
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-bert_sentiment_analysis_kwang123_en.md b/docs/_posts/ahmedlone127/2024-09-08-bert_sentiment_analysis_kwang123_en.md
new file mode 100644
index 00000000000000..d86ce7009dd5e7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-bert_sentiment_analysis_kwang123_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_sentiment_analysis_kwang123 BertForSequenceClassification from kwang123
+author: John Snow Labs
+name: bert_sentiment_analysis_kwang123
+date: 2024-09-08
+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_analysis_kwang123` is a English model originally trained by kwang123.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_sentiment_analysis_kwang123_en_5.5.0_3.0_1725761539251.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_sentiment_analysis_kwang123_en_5.5.0_3.0_1725761539251.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_southern_sotho_qa_multi_qa_mpnet_base_dot_v1_game_183|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[mpnet]|
+|Language:|en|
+|Size:|407.0 MB|
+
+## References
+
+https://huggingface.co/abhijitt/bert_st_qa_multi-qa-mpnet-base-dot-v1_game_183
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-bertin_roberta_base_spanish_spanish_suicide_intent_information_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-bertin_roberta_base_spanish_spanish_suicide_intent_information_v2_pipeline_en.md
new file mode 100644
index 00000000000000..28855a57e77f15
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-bertin_roberta_base_spanish_spanish_suicide_intent_information_v2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bertin_roberta_base_spanish_spanish_suicide_intent_information_v2_pipeline pipeline RoBertaForSequenceClassification from PrevenIA
+author: John Snow Labs
+name: bertin_roberta_base_spanish_spanish_suicide_intent_information_v2_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.`bertin_roberta_base_spanish_spanish_suicide_intent_information_v2_pipeline` is a English model originally trained by PrevenIA.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertin_roberta_base_spanish_spanish_suicide_intent_information_v2_pipeline_en_5.5.0_3.0_1725830884551.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertin_roberta_base_spanish_spanish_suicide_intent_information_v2_pipeline_en_5.5.0_3.0_1725830884551.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bertin_roberta_base_spanish_spanish_suicide_intent_information_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bertin_roberta_base_spanish_spanish_suicide_intent_information_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertin_roberta_base_spanish_spanish_suicide_intent_information_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|464.5 MB|
+
+## References
+
+https://huggingface.co/PrevenIA/bertin-roberta-base-spanish-spanish-suicide-intent-information-v2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-bertin_roberta_fine_tuned_text_classification_slovene_data_augmentation_ds_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-bertin_roberta_fine_tuned_text_classification_slovene_data_augmentation_ds_pipeline_en.md
new file mode 100644
index 00000000000000..59fe8e788c0072
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-bertin_roberta_fine_tuned_text_classification_slovene_data_augmentation_ds_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bertin_roberta_fine_tuned_text_classification_slovene_data_augmentation_ds_pipeline pipeline RoBertaForSequenceClassification from Sleoruiz
+author: John Snow Labs
+name: bertin_roberta_fine_tuned_text_classification_slovene_data_augmentation_ds_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.`bertin_roberta_fine_tuned_text_classification_slovene_data_augmentation_ds_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_ds_pipeline_en_5.5.0_3.0_1725778742173.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_ds_pipeline_en_5.5.0_3.0_1725778742173.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_ds_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bertin_roberta_fine_tuned_text_classification_slovene_data_augmentation_ds_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_ds_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-ds
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-biolinkbert_base_michiyasunaga_en.md b/docs/_posts/ahmedlone127/2024-09-08-biolinkbert_base_michiyasunaga_en.md
new file mode 100644
index 00000000000000..6a78fb5cec3c58
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-biolinkbert_base_michiyasunaga_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English biolinkbert_base_michiyasunaga BertForSequenceClassification from michiyasunaga
+author: John Snow Labs
+name: biolinkbert_base_michiyasunaga
+date: 2024-09-08
+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.`biolinkbert_base_michiyasunaga` is a English model originally trained by michiyasunaga.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biolinkbert_base_michiyasunaga_en_5.5.0_3.0_1725761226797.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biolinkbert_base_michiyasunaga_en_5.5.0_3.0_1725761226797.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biolinkbert_base_michiyasunaga|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.7 MB|
+
+## References
+
+https://huggingface.co/michiyasunaga/BioLinkBERT-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-bleurt_base_128_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-bleurt_base_128_pipeline_en.md
new file mode 100644
index 00000000000000..75bfb435aa5e7a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-bleurt_base_128_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bleurt_base_128_pipeline pipeline BertForSequenceClassification from Elron
+author: John Snow Labs
+name: bleurt_base_128_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.`bleurt_base_128_pipeline` is a English model originally trained by Elron.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bleurt_base_128_pipeline_en_5.5.0_3.0_1725768152215.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bleurt_base_128_pipeline_en_5.5.0_3.0_1725768152215.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bleurt_base_128_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bleurt_base_128_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bleurt_base_128_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/Elron/bleurt-base-128
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-burmese_awesome_qa_model_nkey1_en.md b/docs/_posts/ahmedlone127/2024-09-08-burmese_awesome_qa_model_nkey1_en.md
new file mode 100644
index 00000000000000..f5c52ee65cd9ae
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-burmese_awesome_qa_model_nkey1_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_nkey1 DistilBertForQuestionAnswering from nkey1
+author: John Snow Labs
+name: burmese_awesome_qa_model_nkey1
+date: 2024-09-08
+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_nkey1` is a English model originally trained by nkey1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_nkey1_en_5.5.0_3.0_1725823198349.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_nkey1_en_5.5.0_3.0_1725823198349.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_nkey1|
+|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/nkey1/my_awesome_qa_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-burmese_awesome_qa_model_zhandsome_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-burmese_awesome_qa_model_zhandsome_pipeline_en.md
new file mode 100644
index 00000000000000..101c1bf4df6d78
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-burmese_awesome_qa_model_zhandsome_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_zhandsome_pipeline pipeline DistilBertForQuestionAnswering from zhandsome
+author: John Snow Labs
+name: burmese_awesome_qa_model_zhandsome_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_zhandsome_pipeline` is a English model originally trained by zhandsome.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_zhandsome_pipeline_en_5.5.0_3.0_1725823516461.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_zhandsome_pipeline_en_5.5.0_3.0_1725823516461.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_zhandsome_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_qa_model_zhandsome_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_zhandsome_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/zhandsome/my_awesome_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-burmese_awesome_setfit_model_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-burmese_awesome_setfit_model_2_pipeline_en.md
new file mode 100644
index 00000000000000..63433a16a9f701
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-burmese_awesome_setfit_model_2_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_setfit_model_2_pipeline pipeline MPNetEmbeddings from lewtun
+author: John Snow Labs
+name: burmese_awesome_setfit_model_2_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.`burmese_awesome_setfit_model_2_pipeline` is a English model originally trained by lewtun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_setfit_model_2_pipeline_en_5.5.0_3.0_1725769212557.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_setfit_model_2_pipeline_en_5.5.0_3.0_1725769212557.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_setfit_model_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_setfit_model_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_setfit_model_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/lewtun/my-awesome-setfit-model-2
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-burmese_awesome_wnut_all_jaoa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-burmese_awesome_wnut_all_jaoa_pipeline_en.md
new file mode 100644
index 00000000000000..42332a28156127
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-burmese_awesome_wnut_all_jaoa_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_wnut_all_jaoa_pipeline pipeline DistilBertForTokenClassification from gonzalezrostani
+author: John Snow Labs
+name: burmese_awesome_wnut_all_jaoa_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.`burmese_awesome_wnut_all_jaoa_pipeline` is a English model originally trained by gonzalezrostani.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_all_jaoa_pipeline_en_5.5.0_3.0_1725789122829.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_all_jaoa_pipeline_en_5.5.0_3.0_1725789122829.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_wnut_all_jaoa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_wnut_all_jaoa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_all_jaoa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/gonzalezrostani/my_awesome_wnut_all_JAOa
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-burmese_awesome_wnut_jaoa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-burmese_awesome_wnut_jaoa_pipeline_en.md
new file mode 100644
index 00000000000000..b081a41d2c564c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-burmese_awesome_wnut_jaoa_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_wnut_jaoa_pipeline pipeline DistilBertForTokenClassification from gonzalezrostani
+author: John Snow Labs
+name: burmese_awesome_wnut_jaoa_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.`burmese_awesome_wnut_jaoa_pipeline` is a English model originally trained by gonzalezrostani.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_jaoa_pipeline_en_5.5.0_3.0_1725837616133.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_jaoa_pipeline_en_5.5.0_3.0_1725837616133.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_wnut_jaoa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_wnut_jaoa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_jaoa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/gonzalezrostani/my_awesome_wnut_JAOa
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-burmese_awesome_wnut_jquanti_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-burmese_awesome_wnut_jquanti_pipeline_en.md
new file mode 100644
index 00000000000000..65efc781a49899
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-burmese_awesome_wnut_jquanti_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_wnut_jquanti_pipeline pipeline DistilBertForTokenClassification from gonzalezrostani
+author: John Snow Labs
+name: burmese_awesome_wnut_jquanti_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.`burmese_awesome_wnut_jquanti_pipeline` is a English model originally trained by gonzalezrostani.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_jquanti_pipeline_en_5.5.0_3.0_1725828006007.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_jquanti_pipeline_en_5.5.0_3.0_1725828006007.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_wnut_jquanti_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_wnut_jquanti_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_jquanti_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/gonzalezrostani/my_awesome_wnut_JQuanti
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-burmese_awesome_wnut_model_alexandryte6_en.md b/docs/_posts/ahmedlone127/2024-09-08-burmese_awesome_wnut_model_alexandryte6_en.md
new file mode 100644
index 00000000000000..2a5e37f1c5bf50
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-burmese_awesome_wnut_model_alexandryte6_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_alexandryte6 DistilBertForTokenClassification from alexandryte6
+author: John Snow Labs
+name: burmese_awesome_wnut_model_alexandryte6
+date: 2024-09-08
+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_model_alexandryte6` is a English model originally trained by alexandryte6.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_alexandryte6_en_5.5.0_3.0_1725788859680.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_alexandryte6_en_5.5.0_3.0_1725788859680.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_model_alexandryte6|
+|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/alexandryte6/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-burmese_awesome_wnut_model_massiaz_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-burmese_awesome_wnut_model_massiaz_pipeline_en.md
new file mode 100644
index 00000000000000..1d9b60d8de5f02
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-burmese_awesome_wnut_model_massiaz_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_massiaz_pipeline pipeline DistilBertForTokenClassification from massiaz
+author: John Snow Labs
+name: burmese_awesome_wnut_model_massiaz_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.`burmese_awesome_wnut_model_massiaz_pipeline` is a English model originally trained by massiaz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_massiaz_pipeline_en_5.5.0_3.0_1725788542977.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_massiaz_pipeline_en_5.5.0_3.0_1725788542977.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_wnut_model_massiaz_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_wnut_model_massiaz_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_massiaz_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/massiaz/my_awesome_wnut_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-burmese_awesome_wnut_model_saidileep1007_en.md b/docs/_posts/ahmedlone127/2024-09-08-burmese_awesome_wnut_model_saidileep1007_en.md
new file mode 100644
index 00000000000000..718290f7a5848a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-burmese_awesome_wnut_model_saidileep1007_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_saidileep1007 DistilBertForTokenClassification from saidileep1007
+author: John Snow Labs
+name: burmese_awesome_wnut_model_saidileep1007
+date: 2024-09-08
+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_model_saidileep1007` is a English model originally trained by saidileep1007.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_saidileep1007_en_5.5.0_3.0_1725788560299.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_saidileep1007_en_5.5.0_3.0_1725788560299.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_model_saidileep1007|
+|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/saidileep1007/my_awesome_wnut_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-burmese_ner_model_hcy5561_en.md b/docs/_posts/ahmedlone127/2024-09-08-burmese_ner_model_hcy5561_en.md
new file mode 100644
index 00000000000000..8870f47937e254
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-burmese_ner_model_hcy5561_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_ner_model_hcy5561 DistilBertForTokenClassification from hcy5561
+author: John Snow Labs
+name: burmese_ner_model_hcy5561
+date: 2024-09-08
+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_ner_model_hcy5561` is a English model originally trained by hcy5561.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_ner_model_hcy5561_en_5.5.0_3.0_1725788650814.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_ner_model_hcy5561_en_5.5.0_3.0_1725788650814.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_ner_model_hcy5561|
+|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/hcy5561/my_ner_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-burmese_ner_model_hcy5561_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-burmese_ner_model_hcy5561_pipeline_en.md
new file mode 100644
index 00000000000000..f49302aa1b48e6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-burmese_ner_model_hcy5561_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_ner_model_hcy5561_pipeline pipeline DistilBertForTokenClassification from hcy5561
+author: John Snow Labs
+name: burmese_ner_model_hcy5561_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.`burmese_ner_model_hcy5561_pipeline` is a English model originally trained by hcy5561.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_ner_model_hcy5561_pipeline_en_5.5.0_3.0_1725788662314.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_ner_model_hcy5561_pipeline_en_5.5.0_3.0_1725788662314.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_ner_model_hcy5561_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_ner_model_hcy5561_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_ner_model_hcy5561_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/my_ner_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-burmese_nmt_model2_ad_iiitd_en.md b/docs/_posts/ahmedlone127/2024-09-08-burmese_nmt_model2_ad_iiitd_en.md
new file mode 100644
index 00000000000000..0d7e158734a6c5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-burmese_nmt_model2_ad_iiitd_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_nmt_model2_ad_iiitd MarianTransformer from AD-IIITD
+author: John Snow Labs
+name: burmese_nmt_model2_ad_iiitd
+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.`burmese_nmt_model2_ad_iiitd` is a English model originally trained by AD-IIITD.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_nmt_model2_ad_iiitd_en_5.5.0_3.0_1725765319241.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_nmt_model2_ad_iiitd_en_5.5.0_3.0_1725765319241.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_nmt_model2_ad_iiitd|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|500.3 MB|
+
+## References
+
+https://huggingface.co/AD-IIITD/my_NMT_model2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-clas_3_en.md b/docs/_posts/ahmedlone127/2024-09-08-clas_3_en.md
new file mode 100644
index 00000000000000..33204c2dc907a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-clas_3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English clas_3 RoBertaForSequenceClassification from BaronSch
+author: John Snow Labs
+name: clas_3
+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.`clas_3` is a English model originally trained by BaronSch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clas_3_en_5.5.0_3.0_1725821149879.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clas_3_en_5.5.0_3.0_1725821149879.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clas_3|
+|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_3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-clasificador_languagedetection_rociourquijo_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-clasificador_languagedetection_rociourquijo_pipeline_en.md
new file mode 100644
index 00000000000000..96366026b6303e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-clasificador_languagedetection_rociourquijo_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English clasificador_languagedetection_rociourquijo_pipeline pipeline XlmRoBertaForSequenceClassification from RocioUrquijo
+author: John Snow Labs
+name: clasificador_languagedetection_rociourquijo_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 XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`clasificador_languagedetection_rociourquijo_pipeline` is a English model originally trained by RocioUrquijo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clasificador_languagedetection_rociourquijo_pipeline_en_5.5.0_3.0_1725799340243.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clasificador_languagedetection_rociourquijo_pipeline_en_5.5.0_3.0_1725799340243.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("clasificador_languagedetection_rociourquijo_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("clasificador_languagedetection_rociourquijo_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clasificador_languagedetection_rociourquijo_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|870.4 MB|
+
+## References
+
+https://huggingface.co/RocioUrquijo/clasificador-languagedetection
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-clasificadorcorreosoportedistilespanol_en.md b/docs/_posts/ahmedlone127/2024-09-08-clasificadorcorreosoportedistilespanol_en.md
new file mode 100644
index 00000000000000..0add0ccdf07f7f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-clasificadorcorreosoportedistilespanol_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English clasificadorcorreosoportedistilespanol DistilBertForSequenceClassification from Arodrigo
+author: John Snow Labs
+name: clasificadorcorreosoportedistilespanol
+date: 2024-09-08
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_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` is a English model originally trained by Arodrigo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clasificadorcorreosoportedistilespanol_en_5.5.0_3.0_1725776960016.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clasificadorcorreosoportedistilespanol_en_5.5.0_3.0_1725776960016.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clasificadorcorreosoportedistilespanol|
+|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
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-classifier_chapter4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-classifier_chapter4_pipeline_en.md
new file mode 100644
index 00000000000000..61b1e95642d7fb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-classifier_chapter4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English classifier_chapter4_pipeline pipeline DistilBertForSequenceClassification from genaibook
+author: John Snow Labs
+name: classifier_chapter4_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.`classifier_chapter4_pipeline` is a English model originally trained by genaibook.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/classifier_chapter4_pipeline_en_5.5.0_3.0_1725809078294.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/classifier_chapter4_pipeline_en_5.5.0_3.0_1725809078294.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("classifier_chapter4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("classifier_chapter4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|classifier_chapter4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/genaibook/classifier-chapter4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-cls_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-cls_model_pipeline_en.md
new file mode 100644
index 00000000000000..d89661bb3d1cc9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-cls_model_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English cls_model_pipeline pipeline MPNetEmbeddings from maneprajakta
+author: John Snow Labs
+name: cls_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 MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cls_model_pipeline` is a English model originally trained by maneprajakta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cls_model_pipeline_en_5.5.0_3.0_1725816863462.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cls_model_pipeline_en_5.5.0_3.0_1725816863462.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cls_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cls_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cls_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/maneprajakta/cls_model
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-cnec2_0_supertypes_distilbert_en.md b/docs/_posts/ahmedlone127/2024-09-08-cnec2_0_supertypes_distilbert_en.md
new file mode 100644
index 00000000000000..298d8b58e6cfb8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-cnec2_0_supertypes_distilbert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English cnec2_0_supertypes_distilbert DistilBertForTokenClassification from stulcrad
+author: John Snow Labs
+name: cnec2_0_supertypes_distilbert
+date: 2024-09-08
+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.`cnec2_0_supertypes_distilbert` is a English model originally trained by stulcrad.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cnec2_0_supertypes_distilbert_en_5.5.0_3.0_1725837289143.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cnec2_0_supertypes_distilbert_en_5.5.0_3.0_1725837289143.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cot_5|
+|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/cot_5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-cot_5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-cot_5_pipeline_en.md
new file mode 100644
index 00000000000000..e552955891721c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-cot_5_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English cot_5_pipeline pipeline MPNetEmbeddings from ingeol
+author: John Snow Labs
+name: cot_5_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.`cot_5_pipeline` is a English model originally trained by ingeol.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cot_5_pipeline_en_5.5.0_3.0_1725815823913.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cot_5_pipeline_en_5.5.0_3.0_1725815823913.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cot_5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cot_5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cot_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/cot_5
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-covid_tweet_sentiment_analysis_roberta_model_en.md b/docs/_posts/ahmedlone127/2024-09-08-covid_tweet_sentiment_analysis_roberta_model_en.md
new file mode 100644
index 00000000000000..c0b38d443b8458
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-covid_tweet_sentiment_analysis_roberta_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English covid_tweet_sentiment_analysis_roberta_model RoBertaForSequenceClassification from Eva-Gaga
+author: John Snow Labs
+name: covid_tweet_sentiment_analysis_roberta_model
+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.`covid_tweet_sentiment_analysis_roberta_model` is a English model originally trained by Eva-Gaga.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/covid_tweet_sentiment_analysis_roberta_model_en_5.5.0_3.0_1725820904790.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/covid_tweet_sentiment_analysis_roberta_model_en_5.5.0_3.0_1725820904790.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|covid_tweet_sentiment_analysis_roberta_model|
+|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/Eva-Gaga/covid-tweet-sentiment-analysis-roberta_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-cpegen_vend_en.md b/docs/_posts/ahmedlone127/2024-09-08-cpegen_vend_en.md
new file mode 100644
index 00000000000000..1d2ba125f5d72b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-cpegen_vend_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English cpegen_vend DistilBertForTokenClassification from Neurona
+author: John Snow Labs
+name: cpegen_vend
+date: 2024-09-08
+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.`cpegen_vend` is a English model originally trained by Neurona.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cpegen_vend_en_5.5.0_3.0_1725837605386.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cpegen_vend_en_5.5.0_3.0_1725837605386.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cross_all_bs160_allneg_finetuned_webnlg2020_data_coverage|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[mpnet]|
+|Language:|en|
+|Size:|407.3 MB|
+
+## References
+
+https://huggingface.co/teven/cross_all_bs160_allneg_finetuned_WebNLG2020_data_coverage
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-dbert_model_03_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-dbert_model_03_pipeline_en.md
new file mode 100644
index 00000000000000..f7abb472a6b6b3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-dbert_model_03_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dbert_model_03_pipeline pipeline DistilBertForTokenClassification from fcfrank10
+author: John Snow Labs
+name: dbert_model_03_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.`dbert_model_03_pipeline` is a English model originally trained by fcfrank10.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dbert_model_03_pipeline_en_5.5.0_3.0_1725827551610.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dbert_model_03_pipeline_en_5.5.0_3.0_1725827551610.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dbert_model_03_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dbert_model_03_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dbert_model_03_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/fcfrank10/dbert_model_03
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-deberta_v3_large_imdb_v0_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-deberta_v3_large_imdb_v0_2_pipeline_en.md
new file mode 100644
index 00000000000000..da502fc9f24da0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-deberta_v3_large_imdb_v0_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English deberta_v3_large_imdb_v0_2_pipeline pipeline DeBertaForSequenceClassification from dfurman
+author: John Snow Labs
+name: deberta_v3_large_imdb_v0_2_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 DeBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deberta_v3_large_imdb_v0_2_pipeline` is a English model originally trained by dfurman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deberta_v3_large_imdb_v0_2_pipeline_en_5.5.0_3.0_1725812690341.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_v3_large_imdb_v0_2_pipeline_en_5.5.0_3.0_1725812690341.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("deberta_v3_large_imdb_v0_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("deberta_v3_large_imdb_v0_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deberta_v3_large_imdb_v0_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.6 GB|
+
+## References
+
+https://huggingface.co/dfurman/deberta-v3-large-imdb-v0.2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DeBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-deberta_v3_large_llmmdlprefold_rank_20_09_2023_0_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-deberta_v3_large_llmmdlprefold_rank_20_09_2023_0_pipeline_en.md
new file mode 100644
index 00000000000000..fd95f9fa78ce3e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-deberta_v3_large_llmmdlprefold_rank_20_09_2023_0_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English deberta_v3_large_llmmdlprefold_rank_20_09_2023_0_pipeline pipeline DeBertaForSequenceClassification from nagupv
+author: John Snow Labs
+name: deberta_v3_large_llmmdlprefold_rank_20_09_2023_0_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 DeBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deberta_v3_large_llmmdlprefold_rank_20_09_2023_0_pipeline` is a English model originally trained by nagupv.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deberta_v3_large_llmmdlprefold_rank_20_09_2023_0_pipeline_en_5.5.0_3.0_1725804934177.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_v3_large_llmmdlprefold_rank_20_09_2023_0_pipeline_en_5.5.0_3.0_1725804934177.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("deberta_v3_large_llmmdlprefold_rank_20_09_2023_0_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("deberta_v3_large_llmmdlprefold_rank_20_09_2023_0_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deberta_v3_large_llmmdlprefold_rank_20_09_2023_0_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.6 GB|
+
+## References
+
+https://huggingface.co/nagupv/deberta-v3-large_LLMMDLPREFOLD_RANK_20_09_2023_0
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DeBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-deberta_v3_large_survey_cross_passage_consistency_rater_half_gpt4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-deberta_v3_large_survey_cross_passage_consistency_rater_half_gpt4_pipeline_en.md
new file mode 100644
index 00000000000000..a6945a6a1804a0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-deberta_v3_large_survey_cross_passage_consistency_rater_half_gpt4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English deberta_v3_large_survey_cross_passage_consistency_rater_half_gpt4_pipeline pipeline DeBertaForSequenceClassification from domenicrosati
+author: John Snow Labs
+name: deberta_v3_large_survey_cross_passage_consistency_rater_half_gpt4_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 DeBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deberta_v3_large_survey_cross_passage_consistency_rater_half_gpt4_pipeline` is a English model originally trained by domenicrosati.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deberta_v3_large_survey_cross_passage_consistency_rater_half_gpt4_pipeline_en_5.5.0_3.0_1725812921199.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_v3_large_survey_cross_passage_consistency_rater_half_gpt4_pipeline_en_5.5.0_3.0_1725812921199.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("deberta_v3_large_survey_cross_passage_consistency_rater_half_gpt4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("deberta_v3_large_survey_cross_passage_consistency_rater_half_gpt4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deberta_v3_large_survey_cross_passage_consistency_rater_half_gpt4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.5 GB|
+
+## References
+
+https://huggingface.co/domenicrosati/deberta-v3-large-survey-cross_passage_consistency-rater-half-gpt4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DeBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-deberta_v3_large_survey_main_passage_consistency_rater_all_gpt4_en.md b/docs/_posts/ahmedlone127/2024-09-08-deberta_v3_large_survey_main_passage_consistency_rater_all_gpt4_en.md
new file mode 100644
index 00000000000000..ae4fffdc23f316
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-deberta_v3_large_survey_main_passage_consistency_rater_all_gpt4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English deberta_v3_large_survey_main_passage_consistency_rater_all_gpt4 DeBertaForSequenceClassification from domenicrosati
+author: John Snow Labs
+name: deberta_v3_large_survey_main_passage_consistency_rater_all_gpt4
+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_large_survey_main_passage_consistency_rater_all_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_main_passage_consistency_rater_all_gpt4_en_5.5.0_3.0_1725812727887.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_v3_large_survey_main_passage_consistency_rater_all_gpt4_en_5.5.0_3.0_1725812727887.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_main_passage_consistency_rater_all_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-main_passage_consistency-rater-all-gpt4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-deberta_v3_large_survey_topicality_rater_half_gpt4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-deberta_v3_large_survey_topicality_rater_half_gpt4_pipeline_en.md
new file mode 100644
index 00000000000000..5b736d3d66d071
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-deberta_v3_large_survey_topicality_rater_half_gpt4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English deberta_v3_large_survey_topicality_rater_half_gpt4_pipeline pipeline DeBertaForSequenceClassification from domenicrosati
+author: John Snow Labs
+name: deberta_v3_large_survey_topicality_rater_half_gpt4_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 DeBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deberta_v3_large_survey_topicality_rater_half_gpt4_pipeline` is a English model originally trained by domenicrosati.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deberta_v3_large_survey_topicality_rater_half_gpt4_pipeline_en_5.5.0_3.0_1725812232761.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_v3_large_survey_topicality_rater_half_gpt4_pipeline_en_5.5.0_3.0_1725812232761.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("deberta_v3_large_survey_topicality_rater_half_gpt4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("deberta_v3_large_survey_topicality_rater_half_gpt4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deberta_v3_large_survey_topicality_rater_half_gpt4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.5 GB|
+
+## References
+
+https://huggingface.co/domenicrosati/deberta-v3-large-survey-topicality-rater-half-gpt4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DeBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-distelbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-distelbert_pipeline_en.md
new file mode 100644
index 00000000000000..b39b63d0a23d15
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-distelbert_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distelbert_pipeline pipeline DistilBertForQuestionAnswering from juman48
+author: John Snow Labs
+name: distelbert_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.`distelbert_pipeline` is a English model originally trained by juman48.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distelbert_pipeline_en_5.5.0_3.0_1725823106512.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distelbert_pipeline_en_5.5.0_3.0_1725823106512.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distelbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distelbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distelbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/juman48/Distelbert
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-distil_bert_fintuned_issues_cfpb_complaints_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-distil_bert_fintuned_issues_cfpb_complaints_pipeline_en.md
new file mode 100644
index 00000000000000..f0682ba59ad098
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-distil_bert_fintuned_issues_cfpb_complaints_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distil_bert_fintuned_issues_cfpb_complaints_pipeline pipeline DistilBertForSequenceClassification from Mahesh9
+author: John Snow Labs
+name: distil_bert_fintuned_issues_cfpb_complaints_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.`distil_bert_fintuned_issues_cfpb_complaints_pipeline` is a English model originally trained by Mahesh9.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distil_bert_fintuned_issues_cfpb_complaints_pipeline_en_5.5.0_3.0_1725809220617.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distil_bert_fintuned_issues_cfpb_complaints_pipeline_en_5.5.0_3.0_1725809220617.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distil_bert_fintuned_issues_cfpb_complaints_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distil_bert_fintuned_issues_cfpb_complaints_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distil_bert_fintuned_issues_cfpb_complaints_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Mahesh9/distil-bert-fintuned-issues-cfpb-complaints
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_cased_distilbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_cased_distilbert_pipeline_en.md
new file mode 100644
index 00000000000000..666b2f55dfc370
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_cased_distilbert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_cased_distilbert_pipeline pipeline DistilBertEmbeddings from distilbert
+author: John Snow Labs
+name: distilbert_base_cased_distilbert_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 DistilBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_distilbert_pipeline` is a English model originally trained by distilbert.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_distilbert_pipeline_en_5.5.0_3.0_1725776538256.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_distilbert_pipeline_en_5.5.0_3.0_1725776538256.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_cased_distilbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_cased_distilbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_distilbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/distilbert/distilbert-base-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_emotion_andr830g_en.md b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_emotion_andr830g_en.md
new file mode 100644
index 00000000000000..199977cc68fe01
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_emotion_andr830g_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_andr830g DistilBertForSequenceClassification from andr830g
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_andr830g
+date: 2024-09-08
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_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_andr830g` is a English model originally trained by andr830g.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_andr830g_en_5.5.0_3.0_1725808718176.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_andr830g_en_5.5.0_3.0_1725808718176.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_andr830g|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/andr830g/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_emotion_arulkumar03_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_emotion_arulkumar03_pipeline_en.md
new file mode 100644
index 00000000000000..6a0b248c7b625d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_emotion_arulkumar03_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_arulkumar03_pipeline pipeline DistilBertForSequenceClassification from Arulkumar03
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_arulkumar03_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_emotion_arulkumar03_pipeline` is a English model originally trained by Arulkumar03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_arulkumar03_pipeline_en_5.5.0_3.0_1725809093297.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_arulkumar03_pipeline_en_5.5.0_3.0_1725809093297.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_arulkumar03_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_arulkumar03_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_arulkumar03_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Arulkumar03/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_emotion_lilvoda_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_emotion_lilvoda_pipeline_en.md
new file mode 100644
index 00000000000000..6a968c97da67c6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_emotion_lilvoda_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_lilvoda_pipeline pipeline DistilBertForSequenceClassification from lilvoda
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_lilvoda_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_emotion_lilvoda_pipeline` is a English model originally trained by lilvoda.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_lilvoda_pipeline_en_5.5.0_3.0_1725775259363.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_lilvoda_pipeline_en_5.5.0_3.0_1725775259363.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_lilvoda_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_lilvoda_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_lilvoda_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lilvoda/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_emotion_piyushathawale_en.md b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_emotion_piyushathawale_en.md
new file mode 100644
index 00000000000000..ef542661018131
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_emotion_piyushathawale_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_piyushathawale DistilBertForSequenceClassification from piyushathawale
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_piyushathawale
+date: 2024-09-08
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_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_piyushathawale` is a English model originally trained by piyushathawale.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_piyushathawale_en_5.5.0_3.0_1725808821442.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_piyushathawale_en_5.5.0_3.0_1725808821442.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_piyushathawale|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/piyushathawale/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_emotion_piyushathawale_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_emotion_piyushathawale_pipeline_en.md
new file mode 100644
index 00000000000000..f6838c061024e9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_emotion_piyushathawale_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_piyushathawale_pipeline pipeline DistilBertForSequenceClassification from piyushathawale
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_piyushathawale_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_emotion_piyushathawale_pipeline` is a English model originally trained by piyushathawale.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_piyushathawale_pipeline_en_5.5.0_3.0_1725808834674.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_piyushathawale_pipeline_en_5.5.0_3.0_1725808834674.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_piyushathawale_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_piyushathawale_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_piyushathawale_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/piyushathawale/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_emotion_taoyoung_en.md b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_emotion_taoyoung_en.md
new file mode 100644
index 00000000000000..8c376bec552be0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_emotion_taoyoung_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_taoyoung DistilBertForSequenceClassification from taoyoung
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_taoyoung
+date: 2024-09-08
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_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_taoyoung` is a English model originally trained by taoyoung.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_taoyoung_en_5.5.0_3.0_1725808504087.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_taoyoung_en_5.5.0_3.0_1725808504087.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_taoyoung|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/taoyoung/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_events_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_events_pipeline_en.md
new file mode 100644
index 00000000000000..7f34a305df2ff9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_events_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_events_pipeline pipeline DistilBertForSequenceClassification from joedonino
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_events_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_events_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_pipeline_en_5.5.0_3.0_1725808625782.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_events_pipeline_en_5.5.0_3.0_1725808625782.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_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_events_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_events_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
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_imdb_accelerate_minshengchan_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_imdb_accelerate_minshengchan_pipeline_en.md
new file mode 100644
index 00000000000000..702663eff2ae70
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_imdb_accelerate_minshengchan_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_accelerate_minshengchan_pipeline pipeline DistilBertEmbeddings from minshengchan
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_accelerate_minshengchan_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 DistilBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_imdb_accelerate_minshengchan_pipeline` is a English model originally trained by minshengchan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_accelerate_minshengchan_pipeline_en_5.5.0_3.0_1725782237433.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_accelerate_minshengchan_pipeline_en_5.5.0_3.0_1725782237433.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_accelerate_minshengchan_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_imdb_accelerate_minshengchan_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_imdb_accelerate_minshengchan_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/minshengchan/distilbert-base-uncased-finetuned-imdb-accelerate
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_imdb_accelerate_phantatbach_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_imdb_accelerate_phantatbach_pipeline_en.md
new file mode 100644
index 00000000000000..740a362ec7d97f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_imdb_accelerate_phantatbach_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_accelerate_phantatbach_pipeline pipeline DistilBertEmbeddings from phantatbach
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_accelerate_phantatbach_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 DistilBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_imdb_accelerate_phantatbach_pipeline` is a English model originally trained by phantatbach.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_accelerate_phantatbach_pipeline_en_5.5.0_3.0_1725782216552.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_accelerate_phantatbach_pipeline_en_5.5.0_3.0_1725782216552.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_accelerate_phantatbach_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_imdb_accelerate_phantatbach_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_imdb_accelerate_phantatbach_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/phantatbach/distilbert-base-uncased-finetuned-imdb-accelerate
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_imdb_accelerate_xxxxxcz_en.md b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_imdb_accelerate_xxxxxcz_en.md
new file mode 100644
index 00000000000000..44c6be27eceba4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_imdb_accelerate_xxxxxcz_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_accelerate_xxxxxcz DistilBertEmbeddings from xxxxxcz
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_accelerate_xxxxxcz
+date: 2024-09-08
+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_base_uncased_finetuned_imdb_accelerate_xxxxxcz` is a English model originally trained by xxxxxcz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_accelerate_xxxxxcz_en_5.5.0_3.0_1725828477254.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_accelerate_xxxxxcz_en_5.5.0_3.0_1725828477254.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_ellieburton|
+|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/ellieburton/distilbert-base-uncased-finetuned-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_imdb_jkv53_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_imdb_jkv53_pipeline_en.md
new file mode 100644
index 00000000000000..bf6aade3117971
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_imdb_jkv53_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_jkv53_pipeline pipeline DistilBertEmbeddings from jkv53
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_jkv53_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 DistilBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_imdb_jkv53_pipeline` is a English model originally trained by jkv53.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_jkv53_pipeline_en_5.5.0_3.0_1725782791848.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_jkv53_pipeline_en_5.5.0_3.0_1725782791848.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_jkv53_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_imdb_jkv53_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_imdb_jkv53_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/jkv53/distilbert-base-uncased-finetuned-imdb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_imdb_lifan_z_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_imdb_lifan_z_pipeline_en.md
new file mode 100644
index 00000000000000..90f9d650c06516
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_imdb_lifan_z_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_lifan_z_pipeline pipeline DistilBertEmbeddings from Lifan-Z
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_lifan_z_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 DistilBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_imdb_lifan_z_pipeline` is a English model originally trained by Lifan-Z.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_lifan_z_pipeline_en_5.5.0_3.0_1725782587436.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_lifan_z_pipeline_en_5.5.0_3.0_1725782587436.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_lifan_z_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_imdb_lifan_z_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_imdb_lifan_z_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Lifan-Z/distilbert-base-uncased-finetuned-imdb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_imdb_sabbasi_11_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_imdb_sabbasi_11_pipeline_en.md
new file mode 100644
index 00000000000000..ea4b8833fe47a9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_imdb_sabbasi_11_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_sabbasi_11_pipeline pipeline DistilBertEmbeddings from Sabbasi-11
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_sabbasi_11_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 DistilBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_imdb_sabbasi_11_pipeline` is a English model originally trained by Sabbasi-11.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_sabbasi_11_pipeline_en_5.5.0_3.0_1725776142313.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_sabbasi_11_pipeline_en_5.5.0_3.0_1725776142313.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_sabbasi_11_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_imdb_sabbasi_11_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_imdb_sabbasi_11_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Sabbasi-11/distilbert-base-uncased-finetuned-imdb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_imdb_skyimple_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_imdb_skyimple_pipeline_en.md
new file mode 100644
index 00000000000000..fa0cac1323ebd4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_imdb_skyimple_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_skyimple_pipeline pipeline DistilBertEmbeddings from skyimple
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_skyimple_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 DistilBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_imdb_skyimple_pipeline` is a English model originally trained by skyimple.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_skyimple_pipeline_en_5.5.0_3.0_1725828926278.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_skyimple_pipeline_en_5.5.0_3.0_1725828926278.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_skyimple_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_imdb_skyimple_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_imdb_skyimple_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/skyimple/distilbert-base-uncased-finetuned-imdb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_imdb_wwm_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_imdb_wwm_pipeline_en.md
new file mode 100644
index 00000000000000..6cbcc4eca881b4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_imdb_wwm_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_wwm_pipeline pipeline DistilBertEmbeddings from chrischang80
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_wwm_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 DistilBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_imdb_wwm_pipeline` is a English model originally trained by chrischang80.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_wwm_pipeline_en_5.5.0_3.0_1725828786529.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_wwm_pipeline_en_5.5.0_3.0_1725828786529.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_wwm_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_imdb_wwm_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_imdb_wwm_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/chrischang80/DistilBert-base-uncased-finetuned-imdb-wwm
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_jd_eng_en.md b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_jd_eng_en.md
new file mode 100644
index 00000000000000..af32c51c595cd2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_jd_eng_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_jd_eng DistilBertEmbeddings from aliekens
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_jd_eng
+date: 2024-09-08
+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_base_uncased_finetuned_jd_eng` is a English model originally trained by aliekens.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_jd_eng_en_5.5.0_3.0_1725828582880.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_jd_eng_en_5.5.0_3.0_1725828582880.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_jd_eng|
+|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/aliekens/distilbert-base-uncased-finetuned-jd-eng
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_ner_abritez_en.md b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_ner_abritez_en.md
new file mode 100644
index 00000000000000..39fdb0669c8b0f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_ner_abritez_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_abritez DistilBertForTokenClassification from abritez
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_abritez
+date: 2024-09-08
+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_abritez` is a English model originally trained by abritez.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_abritez_en_5.5.0_3.0_1725789044285.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_abritez_en_5.5.0_3.0_1725789044285.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_abritez|
+|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/abritez/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_ner_coffee3699_en.md b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_ner_coffee3699_en.md
new file mode 100644
index 00000000000000..fa75bf87db2c97
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_ner_coffee3699_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_coffee3699 DistilBertForTokenClassification from coffee3699
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_coffee3699
+date: 2024-09-08
+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_coffee3699` is a English model originally trained by coffee3699.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_coffee3699_en_5.5.0_3.0_1725837700826.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_coffee3699_en_5.5.0_3.0_1725837700826.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_coffee3699|
+|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/coffee3699/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_ner_rishikasrinivas_en.md b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_ner_rishikasrinivas_en.md
new file mode 100644
index 00000000000000..31966d4d15a4b5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_ner_rishikasrinivas_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_rishikasrinivas DistilBertForTokenClassification from rishikasrinivas
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_rishikasrinivas
+date: 2024-09-08
+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_rishikasrinivas` is a English model originally trained by rishikasrinivas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_rishikasrinivas_en_5.5.0_3.0_1725837296303.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_rishikasrinivas_en_5.5.0_3.0_1725837296303.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_rishikasrinivas|
+|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/rishikasrinivas/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_ner_spectrumcrovn_en.md b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_ner_spectrumcrovn_en.md
new file mode 100644
index 00000000000000..db4deef33c756a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_ner_spectrumcrovn_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_spectrumcrovn DistilBertForTokenClassification from SpectrumCrovn
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_spectrumcrovn
+date: 2024-09-08
+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_spectrumcrovn` is a English model originally trained by SpectrumCrovn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_spectrumcrovn_en_5.5.0_3.0_1725837580203.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_spectrumcrovn_en_5.5.0_3.0_1725837580203.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_issues_128|
+|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
+
+References
+
+https://huggingface.co/Chrispfield/distilbert-base-uncased-issues-128
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_odm_zphr_0st13sd_ut72ut1large13pfxnf_simsp400_clean200_en.md b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_odm_zphr_0st13sd_ut72ut1large13pfxnf_simsp400_clean200_en.md
new file mode 100644
index 00000000000000..26c14b002afdea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_odm_zphr_0st13sd_ut72ut1large13pfxnf_simsp400_clean200_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st13sd_ut72ut1large13pfxnf_simsp400_clean200 DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st13sd_ut72ut1large13pfxnf_simsp400_clean200
+date: 2024-09-08
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_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_0st13sd_ut72ut1large13pfxnf_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_0st13sd_ut72ut1large13pfxnf_simsp400_clean200_en_5.5.0_3.0_1725777494330.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_ut72ut1large13pfxnf_simsp400_clean200_en_5.5.0_3.0_1725777494330.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_0st13sd_ut72ut1large13pfxnf_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_0st13sd_ut72ut1large13PfxNf_simsp400_clean200
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-distilbert_qa_squad_english_german_spanish_model_pipeline_xx.md b/docs/_posts/ahmedlone127/2024-09-08-distilbert_qa_squad_english_german_spanish_model_pipeline_xx.md
new file mode 100644
index 00000000000000..0e6d261c86ad83
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-distilbert_qa_squad_english_german_spanish_model_pipeline_xx.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Multilingual distilbert_qa_squad_english_german_spanish_model_pipeline pipeline DistilBertForQuestionAnswering from ZYW
+author: John Snow Labs
+name: distilbert_qa_squad_english_german_spanish_model_pipeline
+date: 2024-09-08
+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 DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_qa_squad_english_german_spanish_model_pipeline` is a Multilingual model originally trained by ZYW.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_squad_english_german_spanish_model_pipeline_xx_5.5.0_3.0_1725818261757.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_squad_english_german_spanish_model_pipeline_xx_5.5.0_3.0_1725818261757.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_qa_squad_english_german_spanish_model_pipeline", lang = "xx")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_qa_squad_english_german_spanish_model_pipeline", lang = "xx")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_squad_english_german_spanish_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|xx|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/ZYW/squad-en-de-es-model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-distilbert_sanskrit_saskta_glue_experiment_logit_kd_cola_384_en.md b/docs/_posts/ahmedlone127/2024-09-08-distilbert_sanskrit_saskta_glue_experiment_logit_kd_cola_384_en.md
new file mode 100644
index 00000000000000..421adbcd73e97b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-distilbert_sanskrit_saskta_glue_experiment_logit_kd_cola_384_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_sanskrit_saskta_glue_experiment_logit_kd_cola_384 DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_sanskrit_saskta_glue_experiment_logit_kd_cola_384
+date: 2024-09-08
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_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_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_logit_kd_cola_384_en_5.5.0_3.0_1725764567733.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_cola_384_en_5.5.0_3.0_1725764567733.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_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_logit_kd_cola_384
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-distilbert_sst5_sentiment_analyzer_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-distilbert_sst5_sentiment_analyzer_pipeline_en.md
new file mode 100644
index 00000000000000..d58d464152892e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-distilbert_sst5_sentiment_analyzer_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_sst5_sentiment_analyzer_pipeline pipeline DistilBertForSequenceClassification from jigarcpatel
+author: John Snow Labs
+name: distilbert_sst5_sentiment_analyzer_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_sst5_sentiment_analyzer_pipeline` is a English model originally trained by jigarcpatel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sst5_sentiment_analyzer_pipeline_en_5.5.0_3.0_1725775058676.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sst5_sentiment_analyzer_pipeline_en_5.5.0_3.0_1725775058676.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_sst5_sentiment_analyzer_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_sst5_sentiment_analyzer_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sst5_sentiment_analyzer_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-sst5-sentiment-analyzer
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-distilbert_suicide_detection_hk_en.md b/docs/_posts/ahmedlone127/2024-09-08-distilbert_suicide_detection_hk_en.md
new file mode 100644
index 00000000000000..0eba5e454cfb9e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-distilbert_suicide_detection_hk_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_suicide_detection_hk DistilBertForSequenceClassification from wcyat
+author: John Snow Labs
+name: distilbert_suicide_detection_hk
+date: 2024-09-08
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_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_suicide_detection_hk` is a English model originally trained by wcyat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_suicide_detection_hk_en_5.5.0_3.0_1725775364452.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_suicide_detection_hk_en_5.5.0_3.0_1725775364452.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_suicide_detection_hk|
+|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/wcyat/distilbert-suicide-detection-hk
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-distilfinetunebert_en.md b/docs/_posts/ahmedlone127/2024-09-08-distilfinetunebert_en.md
new file mode 100644
index 00000000000000..c05f338e21c71d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-distilfinetunebert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilfinetunebert DistilBertForSequenceClassification from HRKhan
+author: John Snow Labs
+name: distilfinetunebert
+date: 2024-09-08
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilfinetunebert` is a English model originally trained by HRKhan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilfinetunebert_en_5.5.0_3.0_1725808816509.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilfinetunebert_en_5.5.0_3.0_1725808816509.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilfinetunebert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/HRKhan/DistilFineTuneBert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-distilfinetunebert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-distilfinetunebert_pipeline_en.md
new file mode 100644
index 00000000000000..a206f3a9c1ec27
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-distilfinetunebert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilfinetunebert_pipeline pipeline DistilBertForSequenceClassification from HRKhan
+author: John Snow Labs
+name: distilfinetunebert_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.`distilfinetunebert_pipeline` is a English model originally trained by HRKhan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilfinetunebert_pipeline_en_5.5.0_3.0_1725808829923.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilfinetunebert_pipeline_en_5.5.0_3.0_1725808829923.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilfinetunebert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilfinetunebert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilfinetunebert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/HRKhan/DistilFineTuneBert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-dummy_model_bellylee_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-dummy_model_bellylee_pipeline_en.md
new file mode 100644
index 00000000000000..29677ef067da69
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-dummy_model_bellylee_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dummy_model_bellylee_pipeline pipeline CamemBertEmbeddings from bellylee
+author: John Snow Labs
+name: dummy_model_bellylee_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_bellylee_pipeline` is a English model originally trained by bellylee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_model_bellylee_pipeline_en_5.5.0_3.0_1725786356914.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_model_bellylee_pipeline_en_5.5.0_3.0_1725786356914.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dummy_model_bellylee_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dummy_model_bellylee_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dummy_model_bellylee_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|264.0 MB|
+
+## References
+
+https://huggingface.co/bellylee/dummy-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- CamemBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-dummy_model_ccyr119_en.md b/docs/_posts/ahmedlone127/2024-09-08-dummy_model_ccyr119_en.md
new file mode 100644
index 00000000000000..a2f6a8e785e66d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-dummy_model_ccyr119_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English dummy_model_ccyr119 CamemBertEmbeddings from ccyr119
+author: John Snow Labs
+name: dummy_model_ccyr119
+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_ccyr119` is a English model originally trained by ccyr119.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_model_ccyr119_en_5.5.0_3.0_1725836608260.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_model_ccyr119_en_5.5.0_3.0_1725836608260.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_itsramyah|
+|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/itsramyah/dummy-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-dummy_model_lilywchen_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-dummy_model_lilywchen_pipeline_en.md
new file mode 100644
index 00000000000000..38d7ed5f6b9acb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-dummy_model_lilywchen_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dummy_model_lilywchen_pipeline pipeline CamemBertEmbeddings from lilywchen
+author: John Snow Labs
+name: dummy_model_lilywchen_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_lilywchen_pipeline` is a English model originally trained by lilywchen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_model_lilywchen_pipeline_en_5.5.0_3.0_1725787026598.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_model_lilywchen_pipeline_en_5.5.0_3.0_1725787026598.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dummy_model_lilywchen_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dummy_model_lilywchen_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dummy_model_lilywchen_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|264.0 MB|
+
+## References
+
+https://huggingface.co/lilywchen/dummy-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- CamemBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-dummy_model_mnslarcher_en.md b/docs/_posts/ahmedlone127/2024-09-08-dummy_model_mnslarcher_en.md
new file mode 100644
index 00000000000000..181430eaba7d9e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-dummy_model_mnslarcher_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English dummy_model_mnslarcher CamemBertEmbeddings from mnslarcher
+author: John Snow Labs
+name: dummy_model_mnslarcher
+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_mnslarcher` is a English model originally trained by mnslarcher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_model_mnslarcher_en_5.5.0_3.0_1725786743700.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_model_mnslarcher_en_5.5.0_3.0_1725786743700.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_mnslarcher|
+|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/mnslarcher/dummy-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-dummy_model_reto55_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-dummy_model_reto55_pipeline_en.md
new file mode 100644
index 00000000000000..ce9db6aa696ee1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-dummy_model_reto55_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dummy_model_reto55_pipeline pipeline CamemBertEmbeddings from reto55
+author: John Snow Labs
+name: dummy_model_reto55_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_reto55_pipeline` is a English model originally trained by reto55.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_model_reto55_pipeline_en_5.5.0_3.0_1725786681273.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_model_reto55_pipeline_en_5.5.0_3.0_1725786681273.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dummy_model_reto55_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dummy_model_reto55_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dummy_model_reto55_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|264.0 MB|
+
+## References
+
+https://huggingface.co/reto55/dummy-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- CamemBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-dummy_model_tkoyama_en.md b/docs/_posts/ahmedlone127/2024-09-08-dummy_model_tkoyama_en.md
new file mode 100644
index 00000000000000..ea0559ecf14112
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-dummy_model_tkoyama_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English dummy_model_tkoyama CamemBertEmbeddings from tkoyama
+author: John Snow Labs
+name: dummy_model_tkoyama
+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_tkoyama` is a English model originally trained by tkoyama.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_model_tkoyama_en_5.5.0_3.0_1725786650489.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_model_tkoyama_en_5.5.0_3.0_1725786650489.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_totoroeric|
+|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/totoroeric/dummy-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-dummy_model_yuwei2342_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-dummy_model_yuwei2342_pipeline_en.md
new file mode 100644
index 00000000000000..a19178070e9fcf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-dummy_model_yuwei2342_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dummy_model_yuwei2342_pipeline pipeline CamemBertEmbeddings from yuwei2342
+author: John Snow Labs
+name: dummy_model_yuwei2342_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_yuwei2342_pipeline` is a English model originally trained by yuwei2342.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_model_yuwei2342_pipeline_en_5.5.0_3.0_1725836238279.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_model_yuwei2342_pipeline_en_5.5.0_3.0_1725836238279.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dummy_model_yuwei2342_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dummy_model_yuwei2342_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dummy_model_yuwei2342_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|264.0 MB|
+
+## References
+
+https://huggingface.co/yuwei2342/dummy-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- CamemBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-ea_setfit_v1_classifier_en.md b/docs/_posts/ahmedlone127/2024-09-08-ea_setfit_v1_classifier_en.md
new file mode 100644
index 00000000000000..bba1fa277f8248
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-ea_setfit_v1_classifier_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English ea_setfit_v1_classifier MPNetEmbeddings from czesty
+author: John Snow Labs
+name: ea_setfit_v1_classifier
+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.`ea_setfit_v1_classifier` is a English model originally trained by czesty.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ea_setfit_v1_classifier_en_5.5.0_3.0_1725769500867.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ea_setfit_v1_classifier_en_5.5.0_3.0_1725769500867.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ea_setfit_v1_classifier|
+|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/czesty/ea-setfit-v1-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-early_readmission_deberta_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-early_readmission_deberta_pipeline_en.md
new file mode 100644
index 00000000000000..f1ce79bce8d745
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-early_readmission_deberta_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English early_readmission_deberta_pipeline pipeline DeBertaForSequenceClassification from austin
+author: John Snow Labs
+name: early_readmission_deberta_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 DeBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`early_readmission_deberta_pipeline` is a English model originally trained by austin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/early_readmission_deberta_pipeline_en_5.5.0_3.0_1725804303054.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/early_readmission_deberta_pipeline_en_5.5.0_3.0_1725804303054.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("early_readmission_deberta_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("early_readmission_deberta_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|early_readmission_deberta_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|607.5 MB|
+
+## References
+
+https://huggingface.co/austin/early-readmission-deberta
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DeBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-embed_andegpt_h768_es.md b/docs/_posts/ahmedlone127/2024-09-08-embed_andegpt_h768_es.md
new file mode 100644
index 00000000000000..e51b59657d37fb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-embed_andegpt_h768_es.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: Castilian, Spanish embed_andegpt_h768 MPNetEmbeddings from enpaiva
+author: John Snow Labs
+name: embed_andegpt_h768
+date: 2024-09-08
+tags: [es, open_source, onnx, embeddings, mpnet]
+task: Embeddings
+language: es
+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.`embed_andegpt_h768` is a Castilian, Spanish model originally trained by enpaiva.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/embed_andegpt_h768_es_5.5.0_3.0_1725815126162.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/embed_andegpt_h768_es_5.5.0_3.0_1725815126162.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|embed_andegpt_h768|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[mpnet]|
+|Language:|es|
+|Size:|379.3 MB|
+
+## References
+
+https://huggingface.co/enpaiva/embed-andegpt-H768
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-english_tonga_tonga_islands_paiute_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-english_tonga_tonga_islands_paiute_pipeline_en.md
new file mode 100644
index 00000000000000..74407e68758928
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-english_tonga_tonga_islands_paiute_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English english_tonga_tonga_islands_paiute_pipeline pipeline MarianTransformer from jcole333
+author: John Snow Labs
+name: english_tonga_tonga_islands_paiute_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_tonga_tonga_islands_paiute_pipeline` is a English model originally trained by jcole333.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/english_tonga_tonga_islands_paiute_pipeline_en_5.5.0_3.0_1725824778121.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/english_tonga_tonga_islands_paiute_pipeline_en_5.5.0_3.0_1725824778121.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("english_tonga_tonga_islands_paiute_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("english_tonga_tonga_islands_paiute_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|english_tonga_tonga_islands_paiute_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|533.1 MB|
+
+## References
+
+https://huggingface.co/jcole333/en-to-paiute
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-f_x_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-f_x_pipeline_en.md
new file mode 100644
index 00000000000000..b16d77be655686
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-f_x_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English f_x_pipeline pipeline BertForSequenceClassification from MoGP
+author: John Snow Labs
+name: f_x_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.`f_x_pipeline` is a English model originally trained by MoGP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/f_x_pipeline_en_5.5.0_3.0_1725825560355.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/f_x_pipeline_en_5.5.0_3.0_1725825560355.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("f_x_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("f_x_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|f_x_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/MoGP/f_x
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-facets2_re_10_10_en.md b/docs/_posts/ahmedlone127/2024-09-08-facets2_re_10_10_en.md
new file mode 100644
index 00000000000000..d20c62854080e2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-facets2_re_10_10_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English facets2_re_10_10 MPNetEmbeddings from ingeol
+author: John Snow Labs
+name: facets2_re_10_10
+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.`facets2_re_10_10` is a English model originally trained by ingeol.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/facets2_re_10_10_en_5.5.0_3.0_1725816717010.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/facets2_re_10_10_en_5.5.0_3.0_1725816717010.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|facets2_re_10_10|
+|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/facets2_re_10_10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-facets_ep3_35_en.md b/docs/_posts/ahmedlone127/2024-09-08-facets_ep3_35_en.md
new file mode 100644
index 00000000000000..6e716e0ca3047d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-facets_ep3_35_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English facets_ep3_35 MPNetEmbeddings from ingeol
+author: John Snow Labs
+name: facets_ep3_35
+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.`facets_ep3_35` is a English model originally trained by ingeol.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/facets_ep3_35_en_5.5.0_3.0_1725769739214.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/facets_ep3_35_en_5.5.0_3.0_1725769739214.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|facets_ep3_35|
+|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/facets_ep3_35
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-final_model1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-final_model1_pipeline_en.md
new file mode 100644
index 00000000000000..d6f8073d600b0f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-final_model1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English final_model1_pipeline pipeline DistilBertForSequenceClassification from sachit56
+author: John Snow Labs
+name: final_model1_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.`final_model1_pipeline` is a English model originally trained by sachit56.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/final_model1_pipeline_en_5.5.0_3.0_1725774761630.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/final_model1_pipeline_en_5.5.0_3.0_1725774761630.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("final_model1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("final_model1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|final_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/sachit56/final_model1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-finalassginment_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-finalassginment_pipeline_en.md
new file mode 100644
index 00000000000000..86f980b3f352fb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-finalassginment_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finalassginment_pipeline pipeline MarianTransformer from sanghyo
+author: John Snow Labs
+name: finalassginment_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.`finalassginment_pipeline` is a English model originally trained by sanghyo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finalassginment_pipeline_en_5.5.0_3.0_1725825238085.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finalassginment_pipeline_en_5.5.0_3.0_1725825238085.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finalassginment_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finalassginment_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finalassginment_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|541.1 MB|
+
+## References
+
+https://huggingface.co/sanghyo/FinalAssginment
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-fine_tuned_model_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-fine_tuned_model_2_pipeline_en.md
new file mode 100644
index 00000000000000..56dcaf74676263
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-fine_tuned_model_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English fine_tuned_model_2_pipeline pipeline AlbertForSequenceClassification from KalaiselvanD
+author: John Snow Labs
+name: fine_tuned_model_2_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 AlbertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_model_2_pipeline` is a English model originally trained by KalaiselvanD.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_model_2_pipeline_en_5.5.0_3.0_1725767079403.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_model_2_pipeline_en_5.5.0_3.0_1725767079403.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fine_tuned_model_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fine_tuned_model_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tuned_model_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|44.2 MB|
+
+## References
+
+https://huggingface.co/KalaiselvanD/fine_tuned_model_2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- AlbertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-finemodel_from_kde4_english_tonga_tonga_islands_chinese_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-finemodel_from_kde4_english_tonga_tonga_islands_chinese_pipeline_en.md
new file mode 100644
index 00000000000000..2f11b7dcb1165b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-finemodel_from_kde4_english_tonga_tonga_islands_chinese_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finemodel_from_kde4_english_tonga_tonga_islands_chinese_pipeline pipeline MarianTransformer from ArierMiao
+author: John Snow Labs
+name: finemodel_from_kde4_english_tonga_tonga_islands_chinese_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.`finemodel_from_kde4_english_tonga_tonga_islands_chinese_pipeline` is a English model originally trained by ArierMiao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finemodel_from_kde4_english_tonga_tonga_islands_chinese_pipeline_en_5.5.0_3.0_1725824158724.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finemodel_from_kde4_english_tonga_tonga_islands_chinese_pipeline_en_5.5.0_3.0_1725824158724.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finemodel_from_kde4_english_tonga_tonga_islands_chinese_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finemodel_from_kde4_english_tonga_tonga_islands_chinese_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finemodel_from_kde4_english_tonga_tonga_islands_chinese_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|541.1 MB|
+
+## References
+
+https://huggingface.co/ArierMiao/finemodel-from-kde4-en-to-zh
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-finetuned_aihub_full_english_tonga_tonga_islands_korean_en.md b/docs/_posts/ahmedlone127/2024-09-08-finetuned_aihub_full_english_tonga_tonga_islands_korean_en.md
new file mode 100644
index 00000000000000..d6c5b281c367f9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-finetuned_aihub_full_english_tonga_tonga_islands_korean_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuned_aihub_full_english_tonga_tonga_islands_korean MarianTransformer from YoungBinLee
+author: John Snow Labs
+name: finetuned_aihub_full_english_tonga_tonga_islands_korean
+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.`finetuned_aihub_full_english_tonga_tonga_islands_korean` is a English model originally trained by YoungBinLee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_aihub_full_english_tonga_tonga_islands_korean_en_5.5.0_3.0_1725795425247.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_aihub_full_english_tonga_tonga_islands_korean_en_5.5.0_3.0_1725795425247.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_aihub_full_english_tonga_tonga_islands_korean|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/YoungBinLee/finetuned-aihub-full-en-to-ko
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-finetuned_mlm_accelerate_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-finetuned_mlm_accelerate_pipeline_en.md
new file mode 100644
index 00000000000000..9cf9f96e5533fa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-finetuned_mlm_accelerate_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuned_mlm_accelerate_pipeline pipeline DistilBertEmbeddings from cxx5208
+author: John Snow Labs
+name: finetuned_mlm_accelerate_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 DistilBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_mlm_accelerate_pipeline` is a English model originally trained by cxx5208.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_mlm_accelerate_pipeline_en_5.5.0_3.0_1725828906868.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_mlm_accelerate_pipeline_en_5.5.0_3.0_1725828906868.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuned_mlm_accelerate_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuned_mlm_accelerate_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_mlm_accelerate_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/cxx5208/Finetuned-MLM-accelerate
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-finetuned_ner_kolj4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-finetuned_ner_kolj4_pipeline_en.md
new file mode 100644
index 00000000000000..0d09e32d564178
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-finetuned_ner_kolj4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuned_ner_kolj4_pipeline pipeline DistilBertForTokenClassification from kolj4
+author: John Snow Labs
+name: finetuned_ner_kolj4_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.`finetuned_ner_kolj4_pipeline` is a English model originally trained by kolj4.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_ner_kolj4_pipeline_en_5.5.0_3.0_1725788665506.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_ner_kolj4_pipeline_en_5.5.0_3.0_1725788665506.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuned_ner_kolj4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuned_ner_kolj4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_ner_kolj4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/kolj4/finetuned-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-finetuning_bm25_small_en.md b/docs/_posts/ahmedlone127/2024-09-08-finetuning_bm25_small_en.md
new file mode 100644
index 00000000000000..424d884dfb9230
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-finetuning_bm25_small_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English finetuning_bm25_small MPNetEmbeddings from jhsmith
+author: John Snow Labs
+name: finetuning_bm25_small
+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.`finetuning_bm25_small` is a English model originally trained by jhsmith.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_bm25_small_en_5.5.0_3.0_1725769503960.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_bm25_small_en_5.5.0_3.0_1725769503960.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_bm25_small|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[mpnet]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/jhsmith/finetuning_bm25_small
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-finetuning_sentiment_model_3000_samples_nico10hahn17_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-finetuning_sentiment_model_3000_samples_nico10hahn17_pipeline_en.md
new file mode 100644
index 00000000000000..4d70a28e86642b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-finetuning_sentiment_model_3000_samples_nico10hahn17_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_nico10hahn17_pipeline pipeline DistilBertForSequenceClassification from Nico10Hahn17
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_nico10hahn17_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.`finetuning_sentiment_model_3000_samples_nico10hahn17_pipeline` is a English model originally trained by Nico10Hahn17.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_nico10hahn17_pipeline_en_5.5.0_3.0_1725775263323.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_nico10hahn17_pipeline_en_5.5.0_3.0_1725775263323.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_nico10hahn17_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_nico10hahn17_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_nico10hahn17_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Nico10Hahn17/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-finetuning_sentiment_model_3000_samples_saahil1801_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-finetuning_sentiment_model_3000_samples_saahil1801_pipeline_en.md
new file mode 100644
index 00000000000000..6454698bd75c7d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-finetuning_sentiment_model_3000_samples_saahil1801_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_saahil1801_pipeline pipeline DistilBertForSequenceClassification from Saahil1801
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_saahil1801_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.`finetuning_sentiment_model_3000_samples_saahil1801_pipeline` is a English model originally trained by Saahil1801.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_saahil1801_pipeline_en_5.5.0_3.0_1725808617654.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_saahil1801_pipeline_en_5.5.0_3.0_1725808617654.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_saahil1801_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_saahil1801_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_saahil1801_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Saahil1801/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-french_bm_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-french_bm_pipeline_en.md
new file mode 100644
index 00000000000000..85a634625aa6ef
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-french_bm_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English french_bm_pipeline pipeline MarianTransformer from Ife
+author: John Snow Labs
+name: french_bm_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.`french_bm_pipeline` is a English model originally trained by Ife.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/french_bm_pipeline_en_5.5.0_3.0_1725795045469.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/french_bm_pipeline_en_5.5.0_3.0_1725795045469.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("french_bm_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("french_bm_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|french_bm_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|507.9 MB|
+
+## References
+
+https://huggingface.co/Ife/FR-BM
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-from_classifier_v0_en.md b/docs/_posts/ahmedlone127/2024-09-08-from_classifier_v0_en.md
new file mode 100644
index 00000000000000..7c741aaa1e264a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-from_classifier_v0_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English from_classifier_v0 MPNetEmbeddings from futuredatascience
+author: John Snow Labs
+name: from_classifier_v0
+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.`from_classifier_v0` is a English model originally trained by futuredatascience.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/from_classifier_v0_en_5.5.0_3.0_1725769895608.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/from_classifier_v0_en_5.5.0_3.0_1725769895608.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|from_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/from-classifier-v0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-hindi_roberta_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-hindi_roberta_ner_pipeline_en.md
new file mode 100644
index 00000000000000..baed9b1371911d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-hindi_roberta_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English hindi_roberta_ner_pipeline pipeline XlmRoBertaForTokenClassification from mirfan899
+author: John Snow Labs
+name: hindi_roberta_ner_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 XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hindi_roberta_ner_pipeline` is a English model originally trained by mirfan899.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hindi_roberta_ner_pipeline_en_5.5.0_3.0_1725785292226.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hindi_roberta_ner_pipeline_en_5.5.0_3.0_1725785292226.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hindi_roberta_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hindi_roberta_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hindi_roberta_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|796.0 MB|
+
+## References
+
+https://huggingface.co/mirfan899/hindi-roberta-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-inde_4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-inde_4_pipeline_en.md
new file mode 100644
index 00000000000000..7ee41c19dc8bb9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-inde_4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English inde_4_pipeline pipeline RoBertaForSequenceClassification from BaronSch
+author: John Snow Labs
+name: inde_4_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.`inde_4_pipeline` is a English model originally trained by BaronSch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/inde_4_pipeline_en_5.5.0_3.0_1725779009322.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/inde_4_pipeline_en_5.5.0_3.0_1725779009322.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("inde_4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("inde_4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|inde_4_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/Inde_4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-isy503_sentiment_analysis2_iamke_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-isy503_sentiment_analysis2_iamke_pipeline_en.md
new file mode 100644
index 00000000000000..876e5b132900e2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-isy503_sentiment_analysis2_iamke_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English isy503_sentiment_analysis2_iamke_pipeline pipeline DistilBertForSequenceClassification from IamKE
+author: John Snow Labs
+name: isy503_sentiment_analysis2_iamke_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.`isy503_sentiment_analysis2_iamke_pipeline` is a English model originally trained by IamKE.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/isy503_sentiment_analysis2_iamke_pipeline_en_5.5.0_3.0_1725775073670.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/isy503_sentiment_analysis2_iamke_pipeline_en_5.5.0_3.0_1725775073670.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("isy503_sentiment_analysis2_iamke_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("isy503_sentiment_analysis2_iamke_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|isy503_sentiment_analysis2_iamke_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/IamKE/ISY503-sentiment_analysis2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-iwslt17_marian_small_ctx4_cwd3_english_french_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-iwslt17_marian_small_ctx4_cwd3_english_french_pipeline_en.md
new file mode 100644
index 00000000000000..0b0936d1314a53
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-iwslt17_marian_small_ctx4_cwd3_english_french_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English iwslt17_marian_small_ctx4_cwd3_english_french_pipeline pipeline MarianTransformer from context-mt
+author: John Snow Labs
+name: iwslt17_marian_small_ctx4_cwd3_english_french_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.`iwslt17_marian_small_ctx4_cwd3_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_ctx4_cwd3_english_french_pipeline_en_5.5.0_3.0_1725824913773.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/iwslt17_marian_small_ctx4_cwd3_english_french_pipeline_en_5.5.0_3.0_1725824913773.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("iwslt17_marian_small_ctx4_cwd3_english_french_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("iwslt17_marian_small_ctx4_cwd3_english_french_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|iwslt17_marian_small_ctx4_cwd3_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-ctx4-cwd3-en-fr
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-jnlpba_clinicalbert_ner_en.md b/docs/_posts/ahmedlone127/2024-09-08-jnlpba_clinicalbert_ner_en.md
new file mode 100644
index 00000000000000..979b0683118996
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-jnlpba_clinicalbert_ner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English jnlpba_clinicalbert_ner DistilBertForTokenClassification from judithrosell
+author: John Snow Labs
+name: jnlpba_clinicalbert_ner
+date: 2024-09-08
+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.`jnlpba_clinicalbert_ner` is a English model originally trained by judithrosell.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/jnlpba_clinicalbert_ner_en_5.5.0_3.0_1725837514774.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/jnlpba_clinicalbert_ner_en_5.5.0_3.0_1725837514774.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|jnlpba_clinicalbert_ner|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/judithrosell/JNLPBA_ClinicalBERT_NER
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-kirundi_english_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-kirundi_english_pipeline_en.md
new file mode 100644
index 00000000000000..11affdbfbce7cf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-kirundi_english_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English kirundi_english_pipeline pipeline MarianTransformer from icep0ps
+author: John Snow Labs
+name: kirundi_english_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.`kirundi_english_pipeline` is a English model originally trained by icep0ps.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kirundi_english_pipeline_en_5.5.0_3.0_1725766205165.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kirundi_english_pipeline_en_5.5.0_3.0_1725766205165.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("kirundi_english_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("kirundi_english_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kirundi_english_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|211.0 MB|
+
+## References
+
+https://huggingface.co/icep0ps/rn-en
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-lab1_ran_en.md b/docs/_posts/ahmedlone127/2024-09-08-lab1_ran_en.md
new file mode 100644
index 00000000000000..4e682dbdea5ed4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-lab1_ran_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English lab1_ran MarianTransformer from wrchen1
+author: John Snow Labs
+name: lab1_ran
+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.`lab1_ran` is a English model originally trained by wrchen1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lab1_ran_en_5.5.0_3.0_1725824563754.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lab1_ran_en_5.5.0_3.0_1725824563754.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lab1_ran|
+|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/wrchen1/lab1_ran
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-lab1_random_lailemon_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-lab1_random_lailemon_pipeline_en.md
new file mode 100644
index 00000000000000..573b0a66eeef09
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-lab1_random_lailemon_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English lab1_random_lailemon_pipeline pipeline MarianTransformer from LaiLemon
+author: John Snow Labs
+name: lab1_random_lailemon_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_random_lailemon_pipeline` is a English model originally trained by LaiLemon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lab1_random_lailemon_pipeline_en_5.5.0_3.0_1725832222984.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lab1_random_lailemon_pipeline_en_5.5.0_3.0_1725832222984.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("lab1_random_lailemon_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("lab1_random_lailemon_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lab1_random_lailemon_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|510.3 MB|
+
+## References
+
+https://huggingface.co/LaiLemon/lab1_random
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-lab2_8bit_adam_reshphil_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-lab2_8bit_adam_reshphil_pipeline_en.md
new file mode 100644
index 00000000000000..a0cf85cd1f3b12
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-lab2_8bit_adam_reshphil_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English lab2_8bit_adam_reshphil_pipeline pipeline MarianTransformer from Reshphil
+author: John Snow Labs
+name: lab2_8bit_adam_reshphil_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.`lab2_8bit_adam_reshphil_pipeline` is a English model originally trained by Reshphil.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lab2_8bit_adam_reshphil_pipeline_en_5.5.0_3.0_1725766288069.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lab2_8bit_adam_reshphil_pipeline_en_5.5.0_3.0_1725766288069.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("lab2_8bit_adam_reshphil_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("lab2_8bit_adam_reshphil_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lab2_8bit_adam_reshphil_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|508.8 MB|
+
+## References
+
+https://huggingface.co/Reshphil/lab2_8bit_adam
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-legalbert_for_rhetorical_role_labeling_en.md b/docs/_posts/ahmedlone127/2024-09-08-legalbert_for_rhetorical_role_labeling_en.md
new file mode 100644
index 00000000000000..dc222c64a559c5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-legalbert_for_rhetorical_role_labeling_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English legalbert_for_rhetorical_role_labeling BertForSequenceClassification from engineersaloni159
+author: John Snow Labs
+name: legalbert_for_rhetorical_role_labeling
+date: 2024-09-08
+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.`legalbert_for_rhetorical_role_labeling` is a English model originally trained by engineersaloni159.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/legalbert_for_rhetorical_role_labeling_en_5.5.0_3.0_1725819758805.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/legalbert_for_rhetorical_role_labeling_en_5.5.0_3.0_1725819758805.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|legalbert_for_rhetorical_role_labeling|
+|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/engineersaloni159/legalBERT_for_rhetorical_role_labeling
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-lenu_ewe_en.md b/docs/_posts/ahmedlone127/2024-09-08-lenu_ewe_en.md
new file mode 100644
index 00000000000000..1d9b08bc7ebdd7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-lenu_ewe_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English lenu_ewe BertForSequenceClassification from Sociovestix
+author: John Snow Labs
+name: lenu_ewe
+date: 2024-09-08
+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.`lenu_ewe` is a English model originally trained by Sociovestix.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lenu_ewe_en_5.5.0_3.0_1725761238318.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lenu_ewe_en_5.5.0_3.0_1725761238318.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lenu_ewe|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|627.8 MB|
+
+## References
+
+https://huggingface.co/Sociovestix/lenu_EE
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-lenu_polish_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-lenu_polish_pipeline_en.md
new file mode 100644
index 00000000000000..922e0865ed95b1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-lenu_polish_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English lenu_polish_pipeline pipeline BertForSequenceClassification from Sociovestix
+author: John Snow Labs
+name: lenu_polish_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.`lenu_polish_pipeline` is a English model originally trained by Sociovestix.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lenu_polish_pipeline_en_5.5.0_3.0_1725761132296.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lenu_polish_pipeline_en_5.5.0_3.0_1725761132296.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("lenu_polish_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("lenu_polish_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lenu_polish_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|495.9 MB|
+
+## References
+
+https://huggingface.co/Sociovestix/lenu_PL
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-lenu_us_catalan_en.md b/docs/_posts/ahmedlone127/2024-09-08-lenu_us_catalan_en.md
new file mode 100644
index 00000000000000..1b70b47071dff3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-lenu_us_catalan_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English lenu_us_catalan BertForSequenceClassification from Sociovestix
+author: John Snow Labs
+name: lenu_us_catalan
+date: 2024-09-08
+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.`lenu_us_catalan` is a English model originally trained by Sociovestix.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lenu_us_catalan_en_5.5.0_3.0_1725768563678.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lenu_us_catalan_en_5.5.0_3.0_1725768563678.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lin_camembert_base|
+|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/linomurali/lin_camembert-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-local_politics_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-local_politics_pipeline_en.md
new file mode 100644
index 00000000000000..bd375a57044eeb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-local_politics_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English local_politics_pipeline pipeline BertForSequenceClassification from nruigrok
+author: John Snow Labs
+name: local_politics_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.`local_politics_pipeline` is a English model originally trained by nruigrok.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/local_politics_pipeline_en_5.5.0_3.0_1725761763682.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/local_politics_pipeline_en_5.5.0_3.0_1725761763682.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("local_politics_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("local_politics_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|local_politics_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.0 MB|
+
+## References
+
+https://huggingface.co/nruigrok/local_politics
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-lug_english_translation_2024_v1_blue_21_meteor_41_bert_92_modata_en.md b/docs/_posts/ahmedlone127/2024-09-08-lug_english_translation_2024_v1_blue_21_meteor_41_bert_92_modata_en.md
new file mode 100644
index 00000000000000..c1e1f4a1c45771
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-lug_english_translation_2024_v1_blue_21_meteor_41_bert_92_modata_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English lug_english_translation_2024_v1_blue_21_meteor_41_bert_92_modata MarianTransformer from atwine
+author: John Snow Labs
+name: lug_english_translation_2024_v1_blue_21_meteor_41_bert_92_modata
+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.`lug_english_translation_2024_v1_blue_21_meteor_41_bert_92_modata` is a English model originally trained by atwine.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lug_english_translation_2024_v1_blue_21_meteor_41_bert_92_modata_en_5.5.0_3.0_1725824531022.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lug_english_translation_2024_v1_blue_21_meteor_41_bert_92_modata_en_5.5.0_3.0_1725824531022.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lug_english_translation_2024_v1_blue_21_meteor_41_bert_92_modata|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|532.6 MB|
+
+## References
+
+https://huggingface.co/atwine/lug_en_translation_2024_v1_BLUE_21_METEOR_41_BERT_92_modata
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-macdonaldsentiment_model_en.md b/docs/_posts/ahmedlone127/2024-09-08-macdonaldsentiment_model_en.md
new file mode 100644
index 00000000000000..b6677a632eee4a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-macdonaldsentiment_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English macdonaldsentiment_model DistilBertForSequenceClassification from Liuxuanxi
+author: John Snow Labs
+name: macdonaldsentiment_model
+date: 2024-09-08
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`macdonaldsentiment_model` is a English model originally trained by Liuxuanxi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/macdonaldsentiment_model_en_5.5.0_3.0_1725775544881.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/macdonaldsentiment_model_en_5.5.0_3.0_1725775544881.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|macdonaldsentiment_model|
+|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/Liuxuanxi/macdonaldsentiment_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-magpie_babe_ft_en.md b/docs/_posts/ahmedlone127/2024-09-08-magpie_babe_ft_en.md
new file mode 100644
index 00000000000000..38b9ca5d7311cc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-magpie_babe_ft_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English magpie_babe_ft RoBertaForSequenceClassification from mediabiasgroup
+author: John Snow Labs
+name: magpie_babe_ft
+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.`magpie_babe_ft` is a English model originally trained by mediabiasgroup.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/magpie_babe_ft_en_5.5.0_3.0_1725779017091.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/magpie_babe_ft_en_5.5.0_3.0_1725779017091.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|magpie_babe_ft|
+|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/mediabiasgroup/magpie-babe-ft
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-maltese_hitz_basque_spanish_pipeline_eu.md b/docs/_posts/ahmedlone127/2024-09-08-maltese_hitz_basque_spanish_pipeline_eu.md
new file mode 100644
index 00000000000000..bdde0430cfd02d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-maltese_hitz_basque_spanish_pipeline_eu.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Basque maltese_hitz_basque_spanish_pipeline pipeline MarianTransformer from HiTZ
+author: John Snow Labs
+name: maltese_hitz_basque_spanish_pipeline
+date: 2024-09-08
+tags: [eu, open_source, pipeline, onnx]
+task: Translation
+language: eu
+edition: Spark 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_hitz_basque_spanish_pipeline` is a Basque model originally trained by HiTZ.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/maltese_hitz_basque_spanish_pipeline_eu_5.5.0_3.0_1725831904999.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/maltese_hitz_basque_spanish_pipeline_eu_5.5.0_3.0_1725831904999.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("maltese_hitz_basque_spanish_pipeline", lang = "eu")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("maltese_hitz_basque_spanish_pipeline", lang = "eu")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|maltese_hitz_basque_spanish_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|eu|
+|Size:|225.9 MB|
+
+## References
+
+https://huggingface.co/HiTZ/mt-hitz-eu-es
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-marabert22_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-marabert22_model_pipeline_en.md
new file mode 100644
index 00000000000000..75cd5978468d9c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-marabert22_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English marabert22_model_pipeline pipeline BertForSequenceClassification from aya2003
+author: John Snow Labs
+name: marabert22_model_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.`marabert22_model_pipeline` is a English model originally trained by aya2003.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marabert22_model_pipeline_en_5.5.0_3.0_1725826062931.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marabert22_model_pipeline_en_5.5.0_3.0_1725826062931.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("marabert22_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marabert22_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marabert22_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|610.9 MB|
+
+## References
+
+https://huggingface.co/aya2003/marabert22-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-marian_finetuned_kde4_english_tonga_tonga_islands_fr100424_1430_en.md b/docs/_posts/ahmedlone127/2024-09-08-marian_finetuned_kde4_english_tonga_tonga_islands_fr100424_1430_en.md
new file mode 100644
index 00000000000000..ccbf719d0ec344
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-marian_finetuned_kde4_english_tonga_tonga_islands_fr100424_1430_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_fr100424_1430 MarianTransformer from Favourphilic
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_fr100424_1430
+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.`marian_finetuned_kde4_english_tonga_tonga_islands_fr100424_1430` is a English model originally trained by Favourphilic.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_fr100424_1430_en_5.5.0_3.0_1725825205012.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_fr100424_1430_en_5.5.0_3.0_1725825205012.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_fr100424_1430|
+|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/Favourphilic/marian-finetuned-kde4-en-to-fr100424-1430
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-marian_finetuned_kde4_english_tonga_tonga_islands_fr100424_1430_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-marian_finetuned_kde4_english_tonga_tonga_islands_fr100424_1430_pipeline_en.md
new file mode 100644
index 00000000000000..3d6c619cc171e1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-marian_finetuned_kde4_english_tonga_tonga_islands_fr100424_1430_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_fr100424_1430_pipeline pipeline MarianTransformer from Favourphilic
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_fr100424_1430_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_kde4_english_tonga_tonga_islands_fr100424_1430_pipeline` is a English model originally trained by Favourphilic.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_fr100424_1430_pipeline_en_5.5.0_3.0_1725825231664.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_fr100424_1430_pipeline_en_5.5.0_3.0_1725825231664.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_fr100424_1430_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_fr100424_1430_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marian_finetuned_kde4_english_tonga_tonga_islands_fr100424_1430_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|508.6 MB|
+
+## References
+
+https://huggingface.co/Favourphilic/marian-finetuned-kde4-en-to-fr100424-1430
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_fadliaulawi_en.md b/docs/_posts/ahmedlone127/2024-09-08-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_fadliaulawi_en.md
new file mode 100644
index 00000000000000..f4e5de9b123167
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_fadliaulawi_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_fadliaulawi MarianTransformer from fadliaulawi
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_fadliaulawi
+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.`marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_fadliaulawi` is a English model originally trained by fadliaulawi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_fadliaulawi_en_5.5.0_3.0_1725766353143.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_fadliaulawi_en_5.5.0_3.0_1725766353143.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_fadliaulawi|
+|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/fadliaulawi/marian-finetuned-kde4-en-to-fr-accelerate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-marian_finetuned_kde4_english_tonga_tonga_islands_french_arham061_en.md b/docs/_posts/ahmedlone127/2024-09-08-marian_finetuned_kde4_english_tonga_tonga_islands_french_arham061_en.md
new file mode 100644
index 00000000000000..a179b0e110c028
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-marian_finetuned_kde4_english_tonga_tonga_islands_french_arham061_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_arham061 MarianTransformer from arham061
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_arham061
+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.`marian_finetuned_kde4_english_tonga_tonga_islands_french_arham061` is a English model originally trained by arham061.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_arham061_en_5.5.0_3.0_1725795726907.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_arham061_en_5.5.0_3.0_1725795726907.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_arham061|
+|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/arham061/marian-finetuned-kde4-en-to-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-marian_finetuned_kde4_english_tonga_tonga_islands_french_nielso_en.md b/docs/_posts/ahmedlone127/2024-09-08-marian_finetuned_kde4_english_tonga_tonga_islands_french_nielso_en.md
new file mode 100644
index 00000000000000..dd0fcf342bdc1e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-marian_finetuned_kde4_english_tonga_tonga_islands_french_nielso_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_nielso MarianTransformer from nielso
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_nielso
+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.`marian_finetuned_kde4_english_tonga_tonga_islands_french_nielso` is a English model originally trained by nielso.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_nielso_en_5.5.0_3.0_1725831290991.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_nielso_en_5.5.0_3.0_1725831290991.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_nielso|
+|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/nielso/marian-finetuned-kde4-en-to-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-marian_finetuned_kde4_english_tonga_tonga_islands_german_accelerate_translator_nlp_course_chapter7_section3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-marian_finetuned_kde4_english_tonga_tonga_islands_german_accelerate_translator_nlp_course_chapter7_section3_pipeline_en.md
new file mode 100644
index 00000000000000..f375acc1a7dc67
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-marian_finetuned_kde4_english_tonga_tonga_islands_german_accelerate_translator_nlp_course_chapter7_section3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_german_accelerate_translator_nlp_course_chapter7_section3_pipeline pipeline MarianTransformer from BanUrsus
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_german_accelerate_translator_nlp_course_chapter7_section3_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_kde4_english_tonga_tonga_islands_german_accelerate_translator_nlp_course_chapter7_section3_pipeline` is a English model originally trained by BanUrsus.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_german_accelerate_translator_nlp_course_chapter7_section3_pipeline_en_5.5.0_3.0_1725766574948.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_german_accelerate_translator_nlp_course_chapter7_section3_pipeline_en_5.5.0_3.0_1725766574948.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_german_accelerate_translator_nlp_course_chapter7_section3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_german_accelerate_translator_nlp_course_chapter7_section3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marian_finetuned_kde4_english_tonga_tonga_islands_german_accelerate_translator_nlp_course_chapter7_section3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|499.6 MB|
+
+## References
+
+https://huggingface.co/BanUrsus/marian-finetuned-kde4-en-to-de-accelerate-translator_nlp-course-chapter7-section3
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-marianmt_many2eng_leb_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-marianmt_many2eng_leb_pipeline_en.md
new file mode 100644
index 00000000000000..7a9366e4231f9e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-marianmt_many2eng_leb_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English marianmt_many2eng_leb_pipeline pipeline MarianTransformer from jq
+author: John Snow Labs
+name: marianmt_many2eng_leb_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.`marianmt_many2eng_leb_pipeline` is a English model originally trained by jq.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marianmt_many2eng_leb_pipeline_en_5.5.0_3.0_1725824840511.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marianmt_many2eng_leb_pipeline_en_5.5.0_3.0_1725824840511.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("marianmt_many2eng_leb_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marianmt_many2eng_leb_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marianmt_many2eng_leb_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|532.6 MB|
+
+## References
+
+https://huggingface.co/jq/marianmt_many2eng_leb
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-medical_english_chinese_8_21_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-medical_english_chinese_8_21_pipeline_en.md
new file mode 100644
index 00000000000000..4454516852b7bb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-medical_english_chinese_8_21_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English medical_english_chinese_8_21_pipeline pipeline MarianTransformer from DogGoesBark
+author: John Snow Labs
+name: medical_english_chinese_8_21_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.`medical_english_chinese_8_21_pipeline` is a English model originally trained by DogGoesBark.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/medical_english_chinese_8_21_pipeline_en_5.5.0_3.0_1725832594047.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/medical_english_chinese_8_21_pipeline_en_5.5.0_3.0_1725832594047.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("medical_english_chinese_8_21_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("medical_english_chinese_8_21_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|medical_english_chinese_8_21_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|541.3 MB|
+
+## References
+
+https://huggingface.co/DogGoesBark/medical_en_zh_8_21
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-menorbert2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-menorbert2_pipeline_en.md
new file mode 100644
index 00000000000000..e1c513dc3b26ac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-menorbert2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English menorbert2_pipeline pipeline BertForSequenceClassification from gregwinther
+author: John Snow Labs
+name: menorbert2_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.`menorbert2_pipeline` is a English model originally trained by gregwinther.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/menorbert2_pipeline_en_5.5.0_3.0_1725819643704.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/menorbert2_pipeline_en_5.5.0_3.0_1725819643704.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("menorbert2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("menorbert2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|menorbert2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|467.4 MB|
+
+## References
+
+https://huggingface.co/gregwinther/MeNorBert2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-mentalroberta_4label_v2_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-mentalroberta_4label_v2_2_pipeline_en.md
new file mode 100644
index 00000000000000..901b0553acfe2c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-mentalroberta_4label_v2_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English mentalroberta_4label_v2_2_pipeline pipeline RoBertaForSequenceClassification from AliaeAI
+author: John Snow Labs
+name: mentalroberta_4label_v2_2_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.`mentalroberta_4label_v2_2_pipeline` is a English model originally trained by AliaeAI.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mentalroberta_4label_v2_2_pipeline_en_5.5.0_3.0_1725821182850.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mentalroberta_4label_v2_2_pipeline_en_5.5.0_3.0_1725821182850.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mentalroberta_4label_v2_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mentalroberta_4label_v2_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mentalroberta_4label_v2_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/AliaeAI/MentalRoBERTa_4label_v2.2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-mlm_snodis_dis_descreption_epochs_5_en.md b/docs/_posts/ahmedlone127/2024-09-08-mlm_snodis_dis_descreption_epochs_5_en.md
new file mode 100644
index 00000000000000..804274b154cf85
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-mlm_snodis_dis_descreption_epochs_5_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English mlm_snodis_dis_descreption_epochs_5 DistilBertEmbeddings from Milad1b
+author: John Snow Labs
+name: mlm_snodis_dis_descreption_epochs_5
+date: 2024-09-08
+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.`mlm_snodis_dis_descreption_epochs_5` is a English model originally trained by Milad1b.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mlm_snodis_dis_descreption_epochs_5_en_5.5.0_3.0_1725776242905.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mlm_snodis_dis_descreption_epochs_5_en_5.5.0_3.0_1725776242905.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mminilm_l6_v2_english_portuguese_msmarco_v1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|pt|
+|Size:|344.0 MB|
+
+## References
+
+https://huggingface.co/unicamp-dl/mMiniLM-L6-v2-en-pt-msmarco-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-model_3_edges_anirudhramoo_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-model_3_edges_anirudhramoo_pipeline_en.md
new file mode 100644
index 00000000000000..a521fa4eedd658
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-model_3_edges_anirudhramoo_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English model_3_edges_anirudhramoo_pipeline pipeline DistilBertForTokenClassification from anirudhramoo
+author: John Snow Labs
+name: model_3_edges_anirudhramoo_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.`model_3_edges_anirudhramoo_pipeline` is a English model originally trained by anirudhramoo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_3_edges_anirudhramoo_pipeline_en_5.5.0_3.0_1725788436783.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_3_edges_anirudhramoo_pipeline_en_5.5.0_3.0_1725788436783.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("model_3_edges_anirudhramoo_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("model_3_edges_anirudhramoo_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|model_3_edges_anirudhramoo_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/anirudhramoo/model_3_edges
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-modeldistilbertmaskfinetunedimdb_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-modeldistilbertmaskfinetunedimdb_pipeline_en.md
new file mode 100644
index 00000000000000..03e316cf3d30c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-modeldistilbertmaskfinetunedimdb_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English modeldistilbertmaskfinetunedimdb_pipeline pipeline DistilBertEmbeddings from jayspring
+author: John Snow Labs
+name: modeldistilbertmaskfinetunedimdb_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 DistilBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`modeldistilbertmaskfinetunedimdb_pipeline` is a English model originally trained by jayspring.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/modeldistilbertmaskfinetunedimdb_pipeline_en_5.5.0_3.0_1725828691121.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/modeldistilbertmaskfinetunedimdb_pipeline_en_5.5.0_3.0_1725828691121.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("modeldistilbertmaskfinetunedimdb_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("modeldistilbertmaskfinetunedimdb_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|modeldistilbertmaskfinetunedimdb_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/jayspring/ModelDistilBertMaskFineTunedImdb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-mpnet_base_all_nli_triplet_korruz_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-mpnet_base_all_nli_triplet_korruz_pipeline_en.md
new file mode 100644
index 00000000000000..7f0056c5f38d1b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-mpnet_base_all_nli_triplet_korruz_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English mpnet_base_all_nli_triplet_korruz_pipeline pipeline MPNetEmbeddings from korruz
+author: John Snow Labs
+name: mpnet_base_all_nli_triplet_korruz_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.`mpnet_base_all_nli_triplet_korruz_pipeline` is a English model originally trained by korruz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mpnet_base_all_nli_triplet_korruz_pipeline_en_5.5.0_3.0_1725816126959.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mpnet_base_all_nli_triplet_korruz_pipeline_en_5.5.0_3.0_1725816126959.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mpnet_base_all_nli_triplet_korruz_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mpnet_base_all_nli_triplet_korruz_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mpnet_base_all_nli_triplet_korruz_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|390.1 MB|
+
+## References
+
+https://huggingface.co/korruz/mpnet-base-all-nli-triplet
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-mpnetwithoutchunking_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-mpnetwithoutchunking_pipeline_en.md
new file mode 100644
index 00000000000000..9faaf198ae8bd3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-mpnetwithoutchunking_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English mpnetwithoutchunking_pipeline pipeline MPNetEmbeddings from GebeyaTalent
+author: John Snow Labs
+name: mpnetwithoutchunking_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.`mpnetwithoutchunking_pipeline` is a English model originally trained by GebeyaTalent.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mpnetwithoutchunking_pipeline_en_5.5.0_3.0_1725816591326.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mpnetwithoutchunking_pipeline_en_5.5.0_3.0_1725816591326.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mpnetwithoutchunking_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mpnetwithoutchunking_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mpnetwithoutchunking_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.7 MB|
+
+## References
+
+https://huggingface.co/GebeyaTalent/mpnetwithoutchunking
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-multi_qa_mpnet_base_cos_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-multi_qa_mpnet_base_cos_v1_pipeline_en.md
new file mode 100644
index 00000000000000..c80f83d9e9eceb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-multi_qa_mpnet_base_cos_v1_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English multi_qa_mpnet_base_cos_v1_pipeline pipeline MPNetEmbeddings from syndi-models
+author: John Snow Labs
+name: multi_qa_mpnet_base_cos_v1_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.`multi_qa_mpnet_base_cos_v1_pipeline` is a English model originally trained by syndi-models.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/multi_qa_mpnet_base_cos_v1_pipeline_en_5.5.0_3.0_1725816878429.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/multi_qa_mpnet_base_cos_v1_pipeline_en_5.5.0_3.0_1725816878429.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("multi_qa_mpnet_base_cos_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("multi_qa_mpnet_base_cos_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|multi_qa_mpnet_base_cos_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/syndi-models/multi-qa-mpnet-base-cos-v1
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-multi_qa_mpnet_base_dot_v1_covidqa_search_65_25_v2_2epoch_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-multi_qa_mpnet_base_dot_v1_covidqa_search_65_25_v2_2epoch_pipeline_en.md
new file mode 100644
index 00000000000000..de004bd2dc8424
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-multi_qa_mpnet_base_dot_v1_covidqa_search_65_25_v2_2epoch_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English multi_qa_mpnet_base_dot_v1_covidqa_search_65_25_v2_2epoch_pipeline pipeline MPNetEmbeddings from checkiejan
+author: John Snow Labs
+name: multi_qa_mpnet_base_dot_v1_covidqa_search_65_25_v2_2epoch_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.`multi_qa_mpnet_base_dot_v1_covidqa_search_65_25_v2_2epoch_pipeline` is a English model originally trained by checkiejan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/multi_qa_mpnet_base_dot_v1_covidqa_search_65_25_v2_2epoch_pipeline_en_5.5.0_3.0_1725817398958.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/multi_qa_mpnet_base_dot_v1_covidqa_search_65_25_v2_2epoch_pipeline_en_5.5.0_3.0_1725817398958.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("multi_qa_mpnet_base_dot_v1_covidqa_search_65_25_v2_2epoch_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("multi_qa_mpnet_base_dot_v1_covidqa_search_65_25_v2_2epoch_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|multi_qa_mpnet_base_dot_v1_covidqa_search_65_25_v2_2epoch_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/checkiejan/multi-qa-mpnet-base-dot-v1-covidqa-search-65-25-v2-2epoch
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-multi_qa_mpnet_base_dot_v1_deneme_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-multi_qa_mpnet_base_dot_v1_deneme_pipeline_en.md
new file mode 100644
index 00000000000000..03385573d39e0b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-multi_qa_mpnet_base_dot_v1_deneme_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English multi_qa_mpnet_base_dot_v1_deneme_pipeline pipeline MPNetEmbeddings from mustozsarac
+author: John Snow Labs
+name: multi_qa_mpnet_base_dot_v1_deneme_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.`multi_qa_mpnet_base_dot_v1_deneme_pipeline` is a English model originally trained by mustozsarac.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/multi_qa_mpnet_base_dot_v1_deneme_pipeline_en_5.5.0_3.0_1725816858583.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/multi_qa_mpnet_base_dot_v1_deneme_pipeline_en_5.5.0_3.0_1725816858583.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("multi_qa_mpnet_base_dot_v1_deneme_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("multi_qa_mpnet_base_dot_v1_deneme_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|multi_qa_mpnet_base_dot_v1_deneme_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/mustozsarac/multi-qa-mpnet-base-dot-v1-deneme
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-ner_cw_pipeline_underfitt_en.md b/docs/_posts/ahmedlone127/2024-09-08-ner_cw_pipeline_underfitt_en.md
new file mode 100644
index 00000000000000..a13c7d9b4041d1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-ner_cw_pipeline_underfitt_en.md
@@ -0,0 +1,66 @@
+---
+layout: model
+title: English ner_cw_pipeline_underfitt pipeline DistilBertForTokenClassification from ArshiaKarimian
+author: John Snow Labs
+name: ner_cw_pipeline_underfitt
+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
+engine: onnx
+annotator: DistilBertForTokenClassification
+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.`ner_cw_pipeline_underfitt` is a English model originally trained by ArshiaKarimian.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_cw_pipeline_underfitt_en_5.5.0_3.0_1725828063920.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_cw_pipeline_underfitt_en_5.5.0_3.0_1725828063920.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ner_cw_pipeline_underfitt", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ner_cw_pipeline_underfitt", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_cw_pipeline_underfitt|
+|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/ArshiaKarimian/NER_CW_pipeline_underfitt
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-opus_base_lsp_aon_wce_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-opus_base_lsp_aon_wce_pipeline_en.md
new file mode 100644
index 00000000000000..f35bd227a4345e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-opus_base_lsp_aon_wce_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_base_lsp_aon_wce_pipeline pipeline MarianTransformer from ethansimrm
+author: John Snow Labs
+name: opus_base_lsp_aon_wce_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.`opus_base_lsp_aon_wce_pipeline` is a English model originally trained by ethansimrm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_base_lsp_aon_wce_pipeline_en_5.5.0_3.0_1725765532309.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_base_lsp_aon_wce_pipeline_en_5.5.0_3.0_1725765532309.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_base_lsp_aon_wce_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_base_lsp_aon_wce_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_base_lsp_aon_wce_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_lsp_AoN_wce
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-opus_big_lsp_simple_wce_en.md b/docs/_posts/ahmedlone127/2024-09-08-opus_big_lsp_simple_wce_en.md
new file mode 100644
index 00000000000000..98920a61583286
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-opus_big_lsp_simple_wce_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_big_lsp_simple_wce MarianTransformer from ethansimrm
+author: John Snow Labs
+name: opus_big_lsp_simple_wce
+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.`opus_big_lsp_simple_wce` is a English model originally trained by ethansimrm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_big_lsp_simple_wce_en_5.5.0_3.0_1725831593440.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_big_lsp_simple_wce_en_5.5.0_3.0_1725831593440.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_lsp_simple_wce|
+|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_lsp_simple_wce
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-opus_maltese_arabic_english_finetuned_arabic_tonga_tonga_islands_english_ani_baghdasaryan_en.md b/docs/_posts/ahmedlone127/2024-09-08-opus_maltese_arabic_english_finetuned_arabic_tonga_tonga_islands_english_ani_baghdasaryan_en.md
new file mode 100644
index 00000000000000..8f2fc7cd78933b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-opus_maltese_arabic_english_finetuned_arabic_tonga_tonga_islands_english_ani_baghdasaryan_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_arabic_english_finetuned_arabic_tonga_tonga_islands_english_ani_baghdasaryan MarianTransformer from ani-baghdasaryan
+author: John Snow Labs
+name: opus_maltese_arabic_english_finetuned_arabic_tonga_tonga_islands_english_ani_baghdasaryan
+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.`opus_maltese_arabic_english_finetuned_arabic_tonga_tonga_islands_english_ani_baghdasaryan` is a English model originally trained by ani-baghdasaryan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_arabic_english_finetuned_arabic_tonga_tonga_islands_english_ani_baghdasaryan_en_5.5.0_3.0_1725825008476.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_arabic_english_finetuned_arabic_tonga_tonga_islands_english_ani_baghdasaryan_en_5.5.0_3.0_1725825008476.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_arabic_english_finetuned_arabic_tonga_tonga_islands_english_ani_baghdasaryan|
+|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/ani-baghdasaryan/opus-mt-ar-en-finetuned-ar-to-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-opus_maltese_english_arabic_evaluated_english_tonga_tonga_islands_arabic_1000instances_un_multi_leaningrate2e_05_batchsize8_11_action_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-opus_maltese_english_arabic_evaluated_english_tonga_tonga_islands_arabic_1000instances_un_multi_leaningrate2e_05_batchsize8_11_action_1_pipeline_en.md
new file mode 100644
index 00000000000000..d09048445b6676
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-opus_maltese_english_arabic_evaluated_english_tonga_tonga_islands_arabic_1000instances_un_multi_leaningrate2e_05_batchsize8_11_action_1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_english_arabic_evaluated_english_tonga_tonga_islands_arabic_1000instances_un_multi_leaningrate2e_05_batchsize8_11_action_1_pipeline pipeline MarianTransformer from meghazisofiane
+author: John Snow Labs
+name: opus_maltese_english_arabic_evaluated_english_tonga_tonga_islands_arabic_1000instances_un_multi_leaningrate2e_05_batchsize8_11_action_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.`opus_maltese_english_arabic_evaluated_english_tonga_tonga_islands_arabic_1000instances_un_multi_leaningrate2e_05_batchsize8_11_action_1_pipeline` is a English model originally trained by meghazisofiane.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_arabic_evaluated_english_tonga_tonga_islands_arabic_1000instances_un_multi_leaningrate2e_05_batchsize8_11_action_1_pipeline_en_5.5.0_3.0_1725824504191.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_arabic_evaluated_english_tonga_tonga_islands_arabic_1000instances_un_multi_leaningrate2e_05_batchsize8_11_action_1_pipeline_en_5.5.0_3.0_1725824504191.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_english_arabic_evaluated_english_tonga_tonga_islands_arabic_1000instances_un_multi_leaningrate2e_05_batchsize8_11_action_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_english_arabic_evaluated_english_tonga_tonga_islands_arabic_1000instances_un_multi_leaningrate2e_05_batchsize8_11_action_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_arabic_evaluated_english_tonga_tonga_islands_arabic_1000instances_un_multi_leaningrate2e_05_batchsize8_11_action_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|528.7 MB|
+
+## References
+
+https://huggingface.co/meghazisofiane/opus-mt-en-ar-evaluated-en-to-ar-1000instances-un_multi-leaningRate2e-05-batchSize8-11-action-1
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-opus_maltese_english_arabic_evaluated_english_tonga_tonga_islands_arabic_1000instancesopus_leaningrate2e_05_batchsize8_11epoch_3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-opus_maltese_english_arabic_evaluated_english_tonga_tonga_islands_arabic_1000instancesopus_leaningrate2e_05_batchsize8_11epoch_3_pipeline_en.md
new file mode 100644
index 00000000000000..873d779a31c5f3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-opus_maltese_english_arabic_evaluated_english_tonga_tonga_islands_arabic_1000instancesopus_leaningrate2e_05_batchsize8_11epoch_3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_english_arabic_evaluated_english_tonga_tonga_islands_arabic_1000instancesopus_leaningrate2e_05_batchsize8_11epoch_3_pipeline pipeline MarianTransformer from meghazisofiane
+author: John Snow Labs
+name: opus_maltese_english_arabic_evaluated_english_tonga_tonga_islands_arabic_1000instancesopus_leaningrate2e_05_batchsize8_11epoch_3_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.`opus_maltese_english_arabic_evaluated_english_tonga_tonga_islands_arabic_1000instancesopus_leaningrate2e_05_batchsize8_11epoch_3_pipeline` is a English model originally trained by meghazisofiane.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_arabic_evaluated_english_tonga_tonga_islands_arabic_1000instancesopus_leaningrate2e_05_batchsize8_11epoch_3_pipeline_en_5.5.0_3.0_1725832328393.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_arabic_evaluated_english_tonga_tonga_islands_arabic_1000instancesopus_leaningrate2e_05_batchsize8_11epoch_3_pipeline_en_5.5.0_3.0_1725832328393.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_english_arabic_evaluated_english_tonga_tonga_islands_arabic_1000instancesopus_leaningrate2e_05_batchsize8_11epoch_3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_english_arabic_evaluated_english_tonga_tonga_islands_arabic_1000instancesopus_leaningrate2e_05_batchsize8_11epoch_3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_arabic_evaluated_english_tonga_tonga_islands_arabic_1000instancesopus_leaningrate2e_05_batchsize8_11epoch_3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|528.7 MB|
+
+## References
+
+https://huggingface.co/meghazisofiane/opus-mt-en-ar-evaluated-en-to-ar-1000instancesopus-leaningRate2e-05-batchSize8-11epoch-3
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-opus_maltese_english_chinese_finetuned_eng_tonga_tonga_islands_chn_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-opus_maltese_english_chinese_finetuned_eng_tonga_tonga_islands_chn_pipeline_en.md
new file mode 100644
index 00000000000000..e580b6eb86a873
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-opus_maltese_english_chinese_finetuned_eng_tonga_tonga_islands_chn_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_english_chinese_finetuned_eng_tonga_tonga_islands_chn_pipeline pipeline MarianTransformer from ketong3906
+author: John Snow Labs
+name: opus_maltese_english_chinese_finetuned_eng_tonga_tonga_islands_chn_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.`opus_maltese_english_chinese_finetuned_eng_tonga_tonga_islands_chn_pipeline` is a English model originally trained by ketong3906.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_chinese_finetuned_eng_tonga_tonga_islands_chn_pipeline_en_5.5.0_3.0_1725824316374.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_chinese_finetuned_eng_tonga_tonga_islands_chn_pipeline_en_5.5.0_3.0_1725824316374.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_english_chinese_finetuned_eng_tonga_tonga_islands_chn_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_english_chinese_finetuned_eng_tonga_tonga_islands_chn_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_chinese_finetuned_eng_tonga_tonga_islands_chn_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|541.2 MB|
+
+## References
+
+https://huggingface.co/ketong3906/opus-mt-en-zh-finetuned-eng-to-chn
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-opus_maltese_english_ganda_finetuned_english_tonga_tonga_islands_ganda_finetuned_english_tonga_tonga_islands_ganda_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-opus_maltese_english_ganda_finetuned_english_tonga_tonga_islands_ganda_finetuned_english_tonga_tonga_islands_ganda_pipeline_en.md
new file mode 100644
index 00000000000000..76520af9bb91a6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-opus_maltese_english_ganda_finetuned_english_tonga_tonga_islands_ganda_finetuned_english_tonga_tonga_islands_ganda_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_english_ganda_finetuned_english_tonga_tonga_islands_ganda_finetuned_english_tonga_tonga_islands_ganda_pipeline pipeline MarianTransformer from Tobius
+author: John Snow Labs
+name: opus_maltese_english_ganda_finetuned_english_tonga_tonga_islands_ganda_finetuned_english_tonga_tonga_islands_ganda_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.`opus_maltese_english_ganda_finetuned_english_tonga_tonga_islands_ganda_finetuned_english_tonga_tonga_islands_ganda_pipeline` is a English model originally trained by Tobius.
+
+{:.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_ganda_pipeline_en_5.5.0_3.0_1725765723705.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_ganda_pipeline_en_5.5.0_3.0_1725765723705.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_english_ganda_finetuned_english_tonga_tonga_islands_ganda_finetuned_english_tonga_tonga_islands_ganda_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_english_ganda_finetuned_english_tonga_tonga_islands_ganda_finetuned_english_tonga_tonga_islands_ganda_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_ganda_finetuned_english_tonga_tonga_islands_ganda_finetuned_english_tonga_tonga_islands_ganda_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|515.6 MB|
+
+## References
+
+https://huggingface.co/Tobius/opus-mt-en-lg-finetuned-en-to-lg-finetuned-en-to-lg
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_clean_marianmt_en.md b/docs/_posts/ahmedlone127/2024-09-08-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_clean_marianmt_en.md
new file mode 100644
index 00000000000000..0f8b42f775f554
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_clean_marianmt_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_clean_marianmt MarianTransformer from himanshubeniwal
+author: John Snow Labs
+name: opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_clean_marianmt
+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.`opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_clean_marianmt` 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_english_tonga_tonga_islands_romanian_clean_marianmt_en_5.5.0_3.0_1725825039902.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_clean_marianmt_en_5.5.0_3.0_1725825039902.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_clean_marianmt|
+|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/himanshubeniwal/opus-mt-en-ro-finetuned-en-to-ro-clean-MarianMT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-opus_maltese_english_spanish_finetuned_english_tonga_tonga_islands_spanish_tamil_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-opus_maltese_english_spanish_finetuned_english_tonga_tonga_islands_spanish_tamil_pipeline_en.md
new file mode 100644
index 00000000000000..3554c1d9cd3ac6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-opus_maltese_english_spanish_finetuned_english_tonga_tonga_islands_spanish_tamil_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_english_spanish_finetuned_english_tonga_tonga_islands_spanish_tamil_pipeline pipeline MarianTransformer from edu-shok
+author: John Snow Labs
+name: opus_maltese_english_spanish_finetuned_english_tonga_tonga_islands_spanish_tamil_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.`opus_maltese_english_spanish_finetuned_english_tonga_tonga_islands_spanish_tamil_pipeline` is a English model originally trained by edu-shok.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_spanish_finetuned_english_tonga_tonga_islands_spanish_tamil_pipeline_en_5.5.0_3.0_1725796056024.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_spanish_finetuned_english_tonga_tonga_islands_spanish_tamil_pipeline_en_5.5.0_3.0_1725796056024.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_english_spanish_finetuned_english_tonga_tonga_islands_spanish_tamil_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_english_spanish_finetuned_english_tonga_tonga_islands_spanish_tamil_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_spanish_finetuned_english_tonga_tonga_islands_spanish_tamil_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|540.6 MB|
+
+## References
+
+https://huggingface.co/edu-shok/opus-mt-en-es-finetuned-en-to-es-TA
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-opus_maltese_english_vietnamese_own_finetuned_english_tonga_tonga_islands_vietnamese_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-opus_maltese_english_vietnamese_own_finetuned_english_tonga_tonga_islands_vietnamese_pipeline_en.md
new file mode 100644
index 00000000000000..308f54f505e654
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-opus_maltese_english_vietnamese_own_finetuned_english_tonga_tonga_islands_vietnamese_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_english_vietnamese_own_finetuned_english_tonga_tonga_islands_vietnamese_pipeline pipeline MarianTransformer from ncduy
+author: John Snow Labs
+name: opus_maltese_english_vietnamese_own_finetuned_english_tonga_tonga_islands_vietnamese_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.`opus_maltese_english_vietnamese_own_finetuned_english_tonga_tonga_islands_vietnamese_pipeline` is a English model originally trained by ncduy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_vietnamese_own_finetuned_english_tonga_tonga_islands_vietnamese_pipeline_en_5.5.0_3.0_1725765533105.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_vietnamese_own_finetuned_english_tonga_tonga_islands_vietnamese_pipeline_en_5.5.0_3.0_1725765533105.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_english_vietnamese_own_finetuned_english_tonga_tonga_islands_vietnamese_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_english_vietnamese_own_finetuned_english_tonga_tonga_islands_vietnamese_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_vietnamese_own_finetuned_english_tonga_tonga_islands_vietnamese_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|477.2 MB|
+
+## References
+
+https://huggingface.co/ncduy/opus-mt-en-vi-own-finetuned-en-to-vi
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-opus_maltese_korean_english_finetuned_korean_tonga_tonga_islands_english_2780616_en.md b/docs/_posts/ahmedlone127/2024-09-08-opus_maltese_korean_english_finetuned_korean_tonga_tonga_islands_english_2780616_en.md
new file mode 100644
index 00000000000000..394cd1ef7b76be
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-opus_maltese_korean_english_finetuned_korean_tonga_tonga_islands_english_2780616_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_korean_english_finetuned_korean_tonga_tonga_islands_english_2780616 MarianTransformer from alphahg
+author: John Snow Labs
+name: opus_maltese_korean_english_finetuned_korean_tonga_tonga_islands_english_2780616
+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.`opus_maltese_korean_english_finetuned_korean_tonga_tonga_islands_english_2780616` 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_english_2780616_en_5.5.0_3.0_1725795659426.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_english_2780616_en_5.5.0_3.0_1725795659426.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_korean_english_finetuned_korean_tonga_tonga_islands_english_2780616|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|540.7 MB|
+
+## References
+
+https://huggingface.co/alphahg/opus-mt-ko-en-finetuned-ko-to-en-2780616
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-opus_maltese_russian_english_finetuned_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-opus_maltese_russian_english_finetuned_pipeline_en.md
new file mode 100644
index 00000000000000..e3416e5dea45e3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-opus_maltese_russian_english_finetuned_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_russian_english_finetuned_pipeline pipeline MarianTransformer from kazandaev
+author: John Snow Labs
+name: opus_maltese_russian_english_finetuned_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.`opus_maltese_russian_english_finetuned_pipeline` is a English model originally trained by kazandaev.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_russian_english_finetuned_pipeline_en_5.5.0_3.0_1725824708030.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_russian_english_finetuned_pipeline_en_5.5.0_3.0_1725824708030.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_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_russian_english_finetuned_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_russian_english_finetuned_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|527.5 MB|
+
+## References
+
+https://huggingface.co/kazandaev/opus-mt-ru-en-finetuned
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-output_en.md b/docs/_posts/ahmedlone127/2024-09-08-output_en.md
new file mode 100644
index 00000000000000..225a7d6091b105
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-output_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English output DistilBertEmbeddings from soyisauce
+author: John Snow Labs
+name: output
+date: 2024-09-08
+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: MarianTransformer
+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.`output` is a English model originally trained by soyisauce.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/output_en_5.5.0_3.0_1725766562290.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/output_en_5.5.0_3.0_1725766562290.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:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|508.4 MB|
+
+## References
+
+References
+
+References
+
+https://huggingface.co/soyisauce/output
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-passage_ranker_pistachio_pipeline_xx.md b/docs/_posts/ahmedlone127/2024-09-08-passage_ranker_pistachio_pipeline_xx.md
new file mode 100644
index 00000000000000..922723929a2ffb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-passage_ranker_pistachio_pipeline_xx.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Multilingual passage_ranker_pistachio_pipeline pipeline BertForSequenceClassification from sinequa
+author: John Snow Labs
+name: passage_ranker_pistachio_pipeline
+date: 2024-09-08
+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 BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`passage_ranker_pistachio_pipeline` is a Multilingual model originally trained by sinequa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/passage_ranker_pistachio_pipeline_xx_5.5.0_3.0_1725825701422.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/passage_ranker_pistachio_pipeline_xx_5.5.0_3.0_1725825701422.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("passage_ranker_pistachio_pipeline", lang = "xx")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("passage_ranker_pistachio_pipeline", lang = "xx")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|passage_ranker_pistachio_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|xx|
+|Size:|627.7 MB|
+
+## References
+
+https://huggingface.co/sinequa/passage-ranker.pistachio
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-passage_ranker_v1_l_multilingual_pipeline_xx.md b/docs/_posts/ahmedlone127/2024-09-08-passage_ranker_v1_l_multilingual_pipeline_xx.md
new file mode 100644
index 00000000000000..38d820bb1ad271
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-passage_ranker_v1_l_multilingual_pipeline_xx.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Multilingual passage_ranker_v1_l_multilingual_pipeline pipeline BertForSequenceClassification from sinequa
+author: John Snow Labs
+name: passage_ranker_v1_l_multilingual_pipeline
+date: 2024-09-08
+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 BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`passage_ranker_v1_l_multilingual_pipeline` is a Multilingual model originally trained by sinequa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/passage_ranker_v1_l_multilingual_pipeline_xx_5.5.0_3.0_1725801624181.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/passage_ranker_v1_l_multilingual_pipeline_xx_5.5.0_3.0_1725801624181.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("passage_ranker_v1_l_multilingual_pipeline", lang = "xx")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("passage_ranker_v1_l_multilingual_pipeline", lang = "xx")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|passage_ranker_v1_l_multilingual_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|xx|
+|Size:|466.7 MB|
+
+## References
+
+https://huggingface.co/sinequa/passage-ranker-v1-L-multilingual
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-pebblo_classifier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-pebblo_classifier_pipeline_en.md
new file mode 100644
index 00000000000000..307999c62380a1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-pebblo_classifier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English pebblo_classifier_pipeline pipeline DistilBertForSequenceClassification from daxa-ai
+author: John Snow Labs
+name: pebblo_classifier_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.`pebblo_classifier_pipeline` is a English model originally trained by daxa-ai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pebblo_classifier_pipeline_en_5.5.0_3.0_1725764476023.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pebblo_classifier_pipeline_en_5.5.0_3.0_1725764476023.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("pebblo_classifier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("pebblo_classifier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pebblo_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/daxa-ai/pebblo-classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-psais_all_mpnet_base_v2_20shot_en.md b/docs/_posts/ahmedlone127/2024-09-08-psais_all_mpnet_base_v2_20shot_en.md
new file mode 100644
index 00000000000000..e4013671617fdc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-psais_all_mpnet_base_v2_20shot_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English psais_all_mpnet_base_v2_20shot MPNetEmbeddings from hroth01
+author: John Snow Labs
+name: psais_all_mpnet_base_v2_20shot
+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.`psais_all_mpnet_base_v2_20shot` is a English model originally trained by hroth01.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/psais_all_mpnet_base_v2_20shot_en_5.5.0_3.0_1725817400363.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/psais_all_mpnet_base_v2_20shot_en_5.5.0_3.0_1725817400363.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|psais_all_mpnet_base_v2_20shot|
+|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/hroth01/psais-all-mpnet-base-v2-20shot
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-psais_multi_qa_mpnet_base_dot_v1_1shot_en.md b/docs/_posts/ahmedlone127/2024-09-08-psais_multi_qa_mpnet_base_dot_v1_1shot_en.md
new file mode 100644
index 00000000000000..2ebd5454e9bc20
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-psais_multi_qa_mpnet_base_dot_v1_1shot_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English psais_multi_qa_mpnet_base_dot_v1_1shot MPNetEmbeddings from hroth
+author: John Snow Labs
+name: psais_multi_qa_mpnet_base_dot_v1_1shot
+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.`psais_multi_qa_mpnet_base_dot_v1_1shot` is a English model originally trained by hroth.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/psais_multi_qa_mpnet_base_dot_v1_1shot_en_5.5.0_3.0_1725817501081.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/psais_multi_qa_mpnet_base_dot_v1_1shot_en_5.5.0_3.0_1725817501081.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|psais_multi_qa_mpnet_base_dot_v1_1shot|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[mpnet]|
+|Language:|en|
+|Size:|407.0 MB|
+
+## References
+
+https://huggingface.co/hroth/psais-multi-qa-mpnet-base-dot-v1-1shot
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-psais_multi_qa_mpnet_base_dot_v1_1shot_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-psais_multi_qa_mpnet_base_dot_v1_1shot_pipeline_en.md
new file mode 100644
index 00000000000000..2ece54b52681cb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-psais_multi_qa_mpnet_base_dot_v1_1shot_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English psais_multi_qa_mpnet_base_dot_v1_1shot_pipeline pipeline MPNetEmbeddings from hroth
+author: John Snow Labs
+name: psais_multi_qa_mpnet_base_dot_v1_1shot_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.`psais_multi_qa_mpnet_base_dot_v1_1shot_pipeline` is a English model originally trained by hroth.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/psais_multi_qa_mpnet_base_dot_v1_1shot_pipeline_en_5.5.0_3.0_1725817522335.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/psais_multi_qa_mpnet_base_dot_v1_1shot_pipeline_en_5.5.0_3.0_1725817522335.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("psais_multi_qa_mpnet_base_dot_v1_1shot_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("psais_multi_qa_mpnet_base_dot_v1_1shot_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|psais_multi_qa_mpnet_base_dot_v1_1shot_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.0 MB|
+
+## References
+
+https://huggingface.co/hroth/psais-multi-qa-mpnet-base-dot-v1-1shot
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-q2e_333_en.md b/docs/_posts/ahmedlone127/2024-09-08-q2e_333_en.md
new file mode 100644
index 00000000000000..90f84c628567f9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-q2e_333_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English q2e_333 MPNetEmbeddings from ingeol
+author: John Snow Labs
+name: q2e_333
+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.`q2e_333` is a English model originally trained by ingeol.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/q2e_333_en_5.5.0_3.0_1725816556218.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/q2e_333_en_5.5.0_3.0_1725816556218.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|q2e_333|
+|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/q2e_333
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-q2e_ep3_1234_en.md b/docs/_posts/ahmedlone127/2024-09-08-q2e_ep3_1234_en.md
new file mode 100644
index 00000000000000..e88e0ee1bed93d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-q2e_ep3_1234_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English q2e_ep3_1234 MPNetEmbeddings from ingeol
+author: John Snow Labs
+name: q2e_ep3_1234
+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.`q2e_ep3_1234` is a English model originally trained by ingeol.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/q2e_ep3_1234_en_5.5.0_3.0_1725769209930.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/q2e_ep3_1234_en_5.5.0_3.0_1725769209930.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|q2e_ep3_1234|
+|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/q2e_ep3_1234
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-qa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-qa_pipeline_en.md
new file mode 100644
index 00000000000000..77ada57ad7c178
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-qa_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English qa_pipeline pipeline DistilBertForQuestionAnswering from Ateeb
+author: John Snow Labs
+name: qa_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_pipeline` is a English model originally trained by Ateeb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/qa_pipeline_en_5.5.0_3.0_1725818638209.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/qa_pipeline_en_5.5.0_3.0_1725818638209.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("qa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("qa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|qa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Ateeb/QA
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-qnli_microsoft_deberta_v3_base_seed_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-qnli_microsoft_deberta_v3_base_seed_2_pipeline_en.md
new file mode 100644
index 00000000000000..a2feba1ad696b8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-qnli_microsoft_deberta_v3_base_seed_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English qnli_microsoft_deberta_v3_base_seed_2_pipeline pipeline DeBertaForSequenceClassification from utahnlp
+author: John Snow Labs
+name: qnli_microsoft_deberta_v3_base_seed_2_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 DeBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`qnli_microsoft_deberta_v3_base_seed_2_pipeline` is a English model originally trained by utahnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/qnli_microsoft_deberta_v3_base_seed_2_pipeline_en_5.5.0_3.0_1725812056691.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/qnli_microsoft_deberta_v3_base_seed_2_pipeline_en_5.5.0_3.0_1725812056691.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("qnli_microsoft_deberta_v3_base_seed_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("qnli_microsoft_deberta_v3_base_seed_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|qnli_microsoft_deberta_v3_base_seed_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|637.9 MB|
+
+## References
+
+https://huggingface.co/utahnlp/qnli_microsoft_deberta-v3-base_seed-2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DeBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-query_only_5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-query_only_5_pipeline_en.md
new file mode 100644
index 00000000000000..d20ed62a1a0839
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-query_only_5_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English query_only_5_pipeline pipeline MPNetEmbeddings from ingeol
+author: John Snow Labs
+name: query_only_5_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.`query_only_5_pipeline` is a English model originally trained by ingeol.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/query_only_5_pipeline_en_5.5.0_3.0_1725817397783.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/query_only_5_pipeline_en_5.5.0_3.0_1725817397783.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("query_only_5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("query_only_5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|query_only_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/query_only_5
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-question_answering_model_jethrowang_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-question_answering_model_jethrowang_pipeline_en.md
new file mode 100644
index 00000000000000..0dc578ffb432d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-question_answering_model_jethrowang_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English question_answering_model_jethrowang_pipeline pipeline DistilBertForQuestionAnswering from jethrowang
+author: John Snow Labs
+name: question_answering_model_jethrowang_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.`question_answering_model_jethrowang_pipeline` is a English model originally trained by jethrowang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/question_answering_model_jethrowang_pipeline_en_5.5.0_3.0_1725823141863.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/question_answering_model_jethrowang_pipeline_en_5.5.0_3.0_1725823141863.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("question_answering_model_jethrowang_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("question_answering_model_jethrowang_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|question_answering_model_jethrowang_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/jethrowang/question_answering_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-question_oriya_statement_en.md b/docs/_posts/ahmedlone127/2024-09-08-question_oriya_statement_en.md
new file mode 100644
index 00000000000000..7718b744eee478
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-question_oriya_statement_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English question_oriya_statement RoBertaForSequenceClassification from nikolasmoya
+author: John Snow Labs
+name: question_oriya_statement
+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.`question_oriya_statement` is a English model originally trained by nikolasmoya.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/question_oriya_statement_en_5.5.0_3.0_1725829924004.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/question_oriya_statement_en_5.5.0_3.0_1725829924004.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|question_oriya_statement|
+|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/nikolasmoya/question-or-statement
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-res_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-res_pipeline_en.md
new file mode 100644
index 00000000000000..439da309f42b0c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-res_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English res_pipeline pipeline DistilBertForQuestionAnswering from artiert
+author: John Snow Labs
+name: res_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.`res_pipeline` is a English model originally trained by artiert.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/res_pipeline_en_5.5.0_3.0_1725798139438.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/res_pipeline_en_5.5.0_3.0_1725798139438.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("res_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("res_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|res_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|250.1 MB|
+
+## References
+
+https://huggingface.co/artiert/res
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-results_forwarder1121_en.md b/docs/_posts/ahmedlone127/2024-09-08-results_forwarder1121_en.md
new file mode 100644
index 00000000000000..6c6b1a5136ebe2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-results_forwarder1121_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English results_forwarder1121 DistilBertForSequenceClassification from forwarder1121
+author: John Snow Labs
+name: results_forwarder1121
+date: 2024-09-08
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_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_forwarder1121` is a English model originally trained by forwarder1121.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/results_forwarder1121_en_5.5.0_3.0_1725808932283.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/results_forwarder1121_en_5.5.0_3.0_1725808932283.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|results_forwarder1121|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/forwarder1121/results
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-rise_ner_distilbert_base_cased_system_b_v2_en.md b/docs/_posts/ahmedlone127/2024-09-08-rise_ner_distilbert_base_cased_system_b_v2_en.md
new file mode 100644
index 00000000000000..3f24e0cf29c3c8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-rise_ner_distilbert_base_cased_system_b_v2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English rise_ner_distilbert_base_cased_system_b_v2 DistilBertForTokenClassification from petersamoaa
+author: John Snow Labs
+name: rise_ner_distilbert_base_cased_system_b_v2
+date: 2024-09-08
+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.`rise_ner_distilbert_base_cased_system_b_v2` 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_en_5.5.0_3.0_1725837477686.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_en_5.5.0_3.0_1725837477686.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rise_ner_distilbert_base_cased_system_b_v2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|243.9 MB|
+
+## References
+
+https://huggingface.co/petersamoaa/rise-ner-distilbert-base-cased-system-b-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-roberta_base_bne_finetuned_amazon_reviews_multi_jorgemariocalvo_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-roberta_base_bne_finetuned_amazon_reviews_multi_jorgemariocalvo_pipeline_en.md
new file mode 100644
index 00000000000000..463db106a6d043
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-roberta_base_bne_finetuned_amazon_reviews_multi_jorgemariocalvo_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_bne_finetuned_amazon_reviews_multi_jorgemariocalvo_pipeline pipeline RoBertaForSequenceClassification from jorgemariocalvo
+author: John Snow Labs
+name: roberta_base_bne_finetuned_amazon_reviews_multi_jorgemariocalvo_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_bne_finetuned_amazon_reviews_multi_jorgemariocalvo_pipeline` is a English model originally trained by jorgemariocalvo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_amazon_reviews_multi_jorgemariocalvo_pipeline_en_5.5.0_3.0_1725830948552.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_multi_jorgemariocalvo_pipeline_en_5.5.0_3.0_1725830948552.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_multi_jorgemariocalvo_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_bne_finetuned_amazon_reviews_multi_jorgemariocalvo_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_bne_finetuned_amazon_reviews_multi_jorgemariocalvo_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|446.8 MB|
+
+## References
+
+https://huggingface.co/jorgemariocalvo/roberta-base-bne-finetuned-amazon_reviews_multi
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-roberta_base_squad_i8_f32_p70_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-roberta_base_squad_i8_f32_p70_pipeline_en.md
new file mode 100644
index 00000000000000..df5830195dcd78
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-roberta_base_squad_i8_f32_p70_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_base_squad_i8_f32_p70_pipeline pipeline RoBertaForQuestionAnswering from pminha
+author: John Snow Labs
+name: roberta_base_squad_i8_f32_p70_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 RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_squad_i8_f32_p70_pipeline` is a English model originally trained by pminha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_squad_i8_f32_p70_pipeline_en_5.5.0_3.0_1725833494394.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_squad_i8_f32_p70_pipeline_en_5.5.0_3.0_1725833494394.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_squad_i8_f32_p70_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_squad_i8_f32_p70_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_squad_i8_f32_p70_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|202.9 MB|
+
+## References
+
+https://huggingface.co/pminha/roberta-base-squad-i8-f32-p70
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-roberta_large_argugpt_en.md b/docs/_posts/ahmedlone127/2024-09-08-roberta_large_argugpt_en.md
new file mode 100644
index 00000000000000..60d2970217ce5d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-roberta_large_argugpt_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_large_argugpt RoBertaForSequenceClassification from SJTU-CL
+author: John Snow Labs
+name: roberta_large_argugpt
+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_large_argugpt` is a English model originally trained by SJTU-CL.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_argugpt_en_5.5.0_3.0_1725829800472.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_argugpt_en_5.5.0_3.0_1725829800472.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_argugpt|
+|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/SJTU-CL/RoBERTa-large-ArguGPT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-roberta_qa_base_squad_nl.md b/docs/_posts/ahmedlone127/2024-09-08-roberta_qa_base_squad_nl.md
new file mode 100644
index 00000000000000..357693cb3af0d7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-roberta_qa_base_squad_nl.md
@@ -0,0 +1,92 @@
+---
+layout: model
+title: Dutch RobertaForQuestionAnswering Base Cased model (from Nadav)
+author: John Snow Labs
+name: roberta_qa_base_squad
+date: 2024-09-08
+tags: [nl, open_source, roberta, question_answering, onnx]
+task: Question Answering
+language: nl
+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-nl` is a Dutch model originally trained by `Nadav`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_qa_base_squad_nl_5.5.0_3.0_1725833484403.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_qa_base_squad_nl_5.5.0_3.0_1725833484403.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","nl")\
+ .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","nl")
+ .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|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|nl|
+|Size:|435.7 MB|
+
+## References
+
+References
+
+- https://huggingface.co/Nadav/roberta-base-squad-nl
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-rotten_tomatoes_microsoft_deberta_v3_base_seed_1_en.md b/docs/_posts/ahmedlone127/2024-09-08-rotten_tomatoes_microsoft_deberta_v3_base_seed_1_en.md
new file mode 100644
index 00000000000000..e823cce6d2cfda
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-rotten_tomatoes_microsoft_deberta_v3_base_seed_1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English rotten_tomatoes_microsoft_deberta_v3_base_seed_1 DeBertaForSequenceClassification from utahnlp
+author: John Snow Labs
+name: rotten_tomatoes_microsoft_deberta_v3_base_seed_1
+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.`rotten_tomatoes_microsoft_deberta_v3_base_seed_1` is a English model originally trained by utahnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rotten_tomatoes_microsoft_deberta_v3_base_seed_1_en_5.5.0_3.0_1725802954461.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rotten_tomatoes_microsoft_deberta_v3_base_seed_1_en_5.5.0_3.0_1725802954461.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rotten_tomatoes_microsoft_deberta_v3_base_seed_1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|577.8 MB|
+
+## References
+
+https://huggingface.co/utahnlp/rotten_tomatoes_microsoft_deberta-v3-base_seed-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-russian_sentiment_classification_model_en.md b/docs/_posts/ahmedlone127/2024-09-08-russian_sentiment_classification_model_en.md
new file mode 100644
index 00000000000000..a1d9817330fb62
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-russian_sentiment_classification_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English russian_sentiment_classification_model BertForSequenceClassification from annavtkn
+author: John Snow Labs
+name: russian_sentiment_classification_model
+date: 2024-09-08
+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.`russian_sentiment_classification_model` is a English model originally trained by annavtkn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/russian_sentiment_classification_model_en_5.5.0_3.0_1725825981878.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/russian_sentiment_classification_model_en_5.5.0_3.0_1725825981878.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|russian_sentiment_classification_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|666.5 MB|
+
+## References
+
+https://huggingface.co/annavtkn/ru_sentiment_classification_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-sanskrit_saskta_qna_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-sanskrit_saskta_qna_pipeline_en.md
new file mode 100644
index 00000000000000..549b5251c0f463
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-sanskrit_saskta_qna_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English sanskrit_saskta_qna_pipeline pipeline DistilBertForQuestionAnswering from Sachinkelenjaguri
+author: John Snow Labs
+name: sanskrit_saskta_qna_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.`sanskrit_saskta_qna_pipeline` is a English model originally trained by Sachinkelenjaguri.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sanskrit_saskta_qna_pipeline_en_5.5.0_3.0_1725798133176.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sanskrit_saskta_qna_pipeline_en_5.5.0_3.0_1725798133176.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sanskrit_saskta_qna_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sanskrit_saskta_qna_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sanskrit_saskta_qna_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|248.0 MB|
+
+## References
+
+https://huggingface.co/Sachinkelenjaguri/sa_Qna
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-scenario_tcr_data_cardiffnlp_tweet_sentiment_multilingual_all_d_xx.md b/docs/_posts/ahmedlone127/2024-09-08-scenario_tcr_data_cardiffnlp_tweet_sentiment_multilingual_all_d_xx.md
new file mode 100644
index 00000000000000..f8315b4cb85eea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-scenario_tcr_data_cardiffnlp_tweet_sentiment_multilingual_all_d_xx.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Multilingual scenario_tcr_data_cardiffnlp_tweet_sentiment_multilingual_all_d XlmRoBertaForSequenceClassification from haryoaw
+author: John Snow Labs
+name: scenario_tcr_data_cardiffnlp_tweet_sentiment_multilingual_all_d
+date: 2024-09-08
+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_tcr_data_cardiffnlp_tweet_sentiment_multilingual_all_d` is a Multilingual model originally trained by haryoaw.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/scenario_tcr_data_cardiffnlp_tweet_sentiment_multilingual_all_d_xx_5.5.0_3.0_1725800170758.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/scenario_tcr_data_cardiffnlp_tweet_sentiment_multilingual_all_d_xx_5.5.0_3.0_1725800170758.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|scenario_tcr_data_cardiffnlp_tweet_sentiment_multilingual_all_d|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|xx|
+|Size:|836.5 MB|
+
+## References
+
+https://huggingface.co/haryoaw/scenario-TCR_data-cardiffnlp_tweet_sentiment_multilingual_all_d
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-sdgbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-sdgbert_pipeline_en.md
new file mode 100644
index 00000000000000..da3f08acf58792
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-sdgbert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sdgbert_pipeline pipeline BertForSequenceClassification from sadickam
+author: John Snow Labs
+name: sdgbert_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.`sdgbert_pipeline` is a English model originally trained by sadickam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sdgbert_pipeline_en_5.5.0_3.0_1725761510401.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sdgbert_pipeline_en_5.5.0_3.0_1725761510401.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sdgbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sdgbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sdgbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/sadickam/sdgBERT
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-sent_bert_base_arabic_camelbert_msa_sixteenth_ar.md b/docs/_posts/ahmedlone127/2024-09-08-sent_bert_base_arabic_camelbert_msa_sixteenth_ar.md
new file mode 100644
index 00000000000000..c714a1594e2699
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-sent_bert_base_arabic_camelbert_msa_sixteenth_ar.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Arabic sent_bert_base_arabic_camelbert_msa_sixteenth BertSentenceEmbeddings from CAMeL-Lab
+author: John Snow Labs
+name: sent_bert_base_arabic_camelbert_msa_sixteenth
+date: 2024-09-08
+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_arabic_camelbert_msa_sixteenth` is a Arabic model originally trained by CAMeL-Lab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_arabic_camelbert_msa_sixteenth_ar_5.5.0_3.0_1725790839713.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_arabic_camelbert_msa_sixteenth_ar_5.5.0_3.0_1725790839713.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_arabic_camelbert_msa_sixteenth|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|ar|
+|Size:|406.4 MB|
+
+## References
+
+https://huggingface.co/CAMeL-Lab/bert-base-arabic-camelbert-msa-sixteenth
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-sent_bert_base_uncased_google_bert_en.md b/docs/_posts/ahmedlone127/2024-09-08-sent_bert_base_uncased_google_bert_en.md
new file mode 100644
index 00000000000000..502b437ca28a9f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-sent_bert_base_uncased_google_bert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_uncased_google_bert BertSentenceEmbeddings from google-bert
+author: John Snow Labs
+name: sent_bert_base_uncased_google_bert
+date: 2024-09-08
+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_google_bert` is a English model originally trained by google-bert.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_google_bert_en_5.5.0_3.0_1725790843823.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_uncased_google_bert_en_5.5.0_3.0_1725790843823.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_google_bert|
+|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/google-bert/bert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-sent_newsbertje_base_en.md b/docs/_posts/ahmedlone127/2024-09-08-sent_newsbertje_base_en.md
new file mode 100644
index 00000000000000..7b7d13cff05094
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-sent_newsbertje_base_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_newsbertje_base BertSentenceEmbeddings from LoicDL
+author: John Snow Labs
+name: sent_newsbertje_base
+date: 2024-09-08
+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_newsbertje_base` is a English model originally trained by LoicDL.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_newsbertje_base_en_5.5.0_3.0_1725791297081.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_newsbertje_base_en_5.5.0_3.0_1725791297081.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_newsbertje_base|
+|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/LoicDL/NewsBERTje-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-sentencepiecebpe_nachos_french_morphemes_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-sentencepiecebpe_nachos_french_morphemes_pipeline_en.md
new file mode 100644
index 00000000000000..c35f8519c99459
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-sentencepiecebpe_nachos_french_morphemes_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sentencepiecebpe_nachos_french_morphemes_pipeline pipeline CamemBertEmbeddings from BioMedTok
+author: John Snow Labs
+name: sentencepiecebpe_nachos_french_morphemes_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.`sentencepiecebpe_nachos_french_morphemes_pipeline` is a English model originally trained by BioMedTok.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentencepiecebpe_nachos_french_morphemes_pipeline_en_5.5.0_3.0_1725836147088.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentencepiecebpe_nachos_french_morphemes_pipeline_en_5.5.0_3.0_1725836147088.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sentencepiecebpe_nachos_french_morphemes_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sentencepiecebpe_nachos_french_morphemes_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentencepiecebpe_nachos_french_morphemes_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|412.6 MB|
+
+## References
+
+https://huggingface.co/BioMedTok/SentencePieceBPE-NACHOS-FR-Morphemes
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- CamemBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-sentiment_analysis_ninja_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-sentiment_analysis_ninja_pipeline_en.md
new file mode 100644
index 00000000000000..4ec993c5c31234
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-sentiment_analysis_ninja_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sentiment_analysis_ninja_pipeline pipeline BertForSequenceClassification from ninja
+author: John Snow Labs
+name: sentiment_analysis_ninja_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.`sentiment_analysis_ninja_pipeline` is a English model originally trained by ninja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_ninja_pipeline_en_5.5.0_3.0_1725825746663.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_ninja_pipeline_en_5.5.0_3.0_1725825746663.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sentiment_analysis_ninja_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sentiment_analysis_ninja_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_analysis_ninja_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/ninja/Sentiment_Analysis
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-setfit_model_feb11_misinformation_on_media_traditional_social_en.md b/docs/_posts/ahmedlone127/2024-09-08-setfit_model_feb11_misinformation_on_media_traditional_social_en.md
new file mode 100644
index 00000000000000..3a045092c58deb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-setfit_model_feb11_misinformation_on_media_traditional_social_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English setfit_model_feb11_misinformation_on_media_traditional_social MPNetEmbeddings from mitra-mir
+author: John Snow Labs
+name: setfit_model_feb11_misinformation_on_media_traditional_social
+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.`setfit_model_feb11_misinformation_on_media_traditional_social` is a English model originally trained by mitra-mir.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/setfit_model_feb11_misinformation_on_media_traditional_social_en_5.5.0_3.0_1725817520310.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/setfit_model_feb11_misinformation_on_media_traditional_social_en_5.5.0_3.0_1725817520310.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_feb11_misinformation_on_media_traditional_social|
+|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-Feb11-Misinformation-on-Media-Traditional-Social
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-setfit_trainer_en.md b/docs/_posts/ahmedlone127/2024-09-08-setfit_trainer_en.md
new file mode 100644
index 00000000000000..d513db39bbd701
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-setfit_trainer_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English setfit_trainer MPNetEmbeddings from Linco
+author: John Snow Labs
+name: setfit_trainer
+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.`setfit_trainer` is a English model originally trained by Linco.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/setfit_trainer_en_5.5.0_3.0_1725815710484.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/setfit_trainer_en_5.5.0_3.0_1725815710484.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|setfit_trainer|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[mpnet]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/Linco/setfit-trainer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-setfit_trainer_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-setfit_trainer_pipeline_en.md
new file mode 100644
index 00000000000000..3d60bdb8b4a2b5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-setfit_trainer_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English setfit_trainer_pipeline pipeline MPNetEmbeddings from Linco
+author: John Snow Labs
+name: setfit_trainer_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.`setfit_trainer_pipeline` is a English model originally trained by Linco.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/setfit_trainer_pipeline_en_5.5.0_3.0_1725815731199.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/setfit_trainer_pipeline_en_5.5.0_3.0_1725815731199.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("setfit_trainer_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("setfit_trainer_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|setfit_trainer_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/Linco/setfit-trainer
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-sota_4_en.md b/docs/_posts/ahmedlone127/2024-09-08-sota_4_en.md
new file mode 100644
index 00000000000000..977a787b8fa922
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-sota_4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sota_4 RoBertaForSequenceClassification from BaronSch
+author: John Snow Labs
+name: sota_4
+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.`sota_4` is a English model originally trained by BaronSch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sota_4_en_5.5.0_3.0_1725778942250.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sota_4_en_5.5.0_3.0_1725778942250.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sota_4|
+|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/SOTA_4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-sourceresearchz_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-sourceresearchz_pipeline_en.md
new file mode 100644
index 00000000000000..13df3d883ee46a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-sourceresearchz_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sourceresearchz_pipeline pipeline DistilBertEmbeddings from srz30
+author: John Snow Labs
+name: sourceresearchz_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 DistilBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sourceresearchz_pipeline` is a English model originally trained by srz30.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sourceresearchz_pipeline_en_5.5.0_3.0_1725776473935.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sourceresearchz_pipeline_en_5.5.0_3.0_1725776473935.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sourceresearchz_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sourceresearchz_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sourceresearchz_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/srz30/SourceResearchZ
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-southern_sotho_all_mpnet_finetuned_comb_6000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-southern_sotho_all_mpnet_finetuned_comb_6000_pipeline_en.md
new file mode 100644
index 00000000000000..0b1e4551ae5cee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-southern_sotho_all_mpnet_finetuned_comb_6000_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English southern_sotho_all_mpnet_finetuned_comb_6000_pipeline pipeline MPNetEmbeddings from danfeg
+author: John Snow Labs
+name: southern_sotho_all_mpnet_finetuned_comb_6000_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.`southern_sotho_all_mpnet_finetuned_comb_6000_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_comb_6000_pipeline_en_5.5.0_3.0_1725769219660.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/southern_sotho_all_mpnet_finetuned_comb_6000_pipeline_en_5.5.0_3.0_1725769219660.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_comb_6000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("southern_sotho_all_mpnet_finetuned_comb_6000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|southern_sotho_all_mpnet_finetuned_comb_6000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/danfeg/ST-ALL-MPNET_Finetuned-COMB-6000
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-southern_sotho_english_50_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-southern_sotho_english_50_pipeline_en.md
new file mode 100644
index 00000000000000..1860b0fca1785f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-southern_sotho_english_50_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English southern_sotho_english_50_pipeline pipeline MarianTransformer from cw1521
+author: John Snow Labs
+name: southern_sotho_english_50_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.`southern_sotho_english_50_pipeline` is a English model originally trained by cw1521.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/southern_sotho_english_50_pipeline_en_5.5.0_3.0_1725795539545.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/southern_sotho_english_50_pipeline_en_5.5.0_3.0_1725795539545.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("southern_sotho_english_50_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("southern_sotho_english_50_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|southern_sotho_english_50_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|509.1 MB|
+
+## References
+
+https://huggingface.co/cw1521/st-en-50
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-spanish_finnish_all_copy_quy_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-spanish_finnish_all_copy_quy_pipeline_en.md
new file mode 100644
index 00000000000000..859b80ec4052ab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-spanish_finnish_all_copy_quy_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English spanish_finnish_all_copy_quy_pipeline pipeline MarianTransformer from nouman-10
+author: John Snow Labs
+name: spanish_finnish_all_copy_quy_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.`spanish_finnish_all_copy_quy_pipeline` is a English model originally trained by nouman-10.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/spanish_finnish_all_copy_quy_pipeline_en_5.5.0_3.0_1725824980955.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/spanish_finnish_all_copy_quy_pipeline_en_5.5.0_3.0_1725824980955.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("spanish_finnish_all_copy_quy_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("spanish_finnish_all_copy_quy_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|spanish_finnish_all_copy_quy_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|531.3 MB|
+
+## References
+
+https://huggingface.co/nouman-10/es_fi_all_copy_quy
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-squad_qa_model_portuguese_en.md b/docs/_posts/ahmedlone127/2024-09-08-squad_qa_model_portuguese_en.md
new file mode 100644
index 00000000000000..87b9dd1370332c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-squad_qa_model_portuguese_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English squad_qa_model_portuguese DistilBertForQuestionAnswering from Mrsteveme
+author: John Snow Labs
+name: squad_qa_model_portuguese
+date: 2024-09-08
+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.`squad_qa_model_portuguese` is a English model originally trained by Mrsteveme.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/squad_qa_model_portuguese_en_5.5.0_3.0_1725798538295.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/squad_qa_model_portuguese_en_5.5.0_3.0_1725798538295.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|squad_qa_model_portuguese|
+|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/Mrsteveme/SQuAD_qa_model_PT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-sst_mobilebert_uncased_en.md b/docs/_posts/ahmedlone127/2024-09-08-sst_mobilebert_uncased_en.md
new file mode 100644
index 00000000000000..89937a28d50cf0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-sst_mobilebert_uncased_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sst_mobilebert_uncased BertForSequenceClassification from cambridgeltl
+author: John Snow Labs
+name: sst_mobilebert_uncased
+date: 2024-09-08
+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.`sst_mobilebert_uncased` is a English model originally trained by cambridgeltl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sst_mobilebert_uncased_en_5.5.0_3.0_1725838747059.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sst_mobilebert_uncased_en_5.5.0_3.0_1725838747059.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sst_mobilebert_uncased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|92.5 MB|
+
+## References
+
+https://huggingface.co/cambridgeltl/sst_mobilebert-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-stego_classifier_checkpoint_epoch_80_2024_07_26_16_03_28_en.md b/docs/_posts/ahmedlone127/2024-09-08-stego_classifier_checkpoint_epoch_80_2024_07_26_16_03_28_en.md
new file mode 100644
index 00000000000000..8fd40d962d65b9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-stego_classifier_checkpoint_epoch_80_2024_07_26_16_03_28_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English stego_classifier_checkpoint_epoch_80_2024_07_26_16_03_28 DistilBertForSequenceClassification from jvelja
+author: John Snow Labs
+name: stego_classifier_checkpoint_epoch_80_2024_07_26_16_03_28
+date: 2024-09-08
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_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_80_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_80_2024_07_26_16_03_28_en_5.5.0_3.0_1725775006225.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_80_2024_07_26_16_03_28_en_5.5.0_3.0_1725775006225.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_80_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-80-2024-07-26_16-03-28
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-student_marian_english_romanian_6_3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-student_marian_english_romanian_6_3_pipeline_en.md
new file mode 100644
index 00000000000000..0e3dc64a51047c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-student_marian_english_romanian_6_3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English student_marian_english_romanian_6_3_pipeline pipeline MarianTransformer from sshleifer
+author: John Snow Labs
+name: student_marian_english_romanian_6_3_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.`student_marian_english_romanian_6_3_pipeline` is a English model originally trained by sshleifer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/student_marian_english_romanian_6_3_pipeline_en_5.5.0_3.0_1725795902705.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/student_marian_english_romanian_6_3_pipeline_en_5.5.0_3.0_1725795902705.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("student_marian_english_romanian_6_3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("student_marian_english_romanian_6_3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|student_marian_english_romanian_6_3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|292.1 MB|
+
+## References
+
+https://huggingface.co/sshleifer/student_marian_en_ro_6_3
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-tatar_oilwells_demo_model_en.md b/docs/_posts/ahmedlone127/2024-09-08-tatar_oilwells_demo_model_en.md
new file mode 100644
index 00000000000000..89c88cafa82663
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-tatar_oilwells_demo_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English tatar_oilwells_demo_model DistilBertEmbeddings from Imvignesh
+author: John Snow Labs
+name: tatar_oilwells_demo_model
+date: 2024-09-08
+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.`tatar_oilwells_demo_model` is a English model originally trained by Imvignesh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tatar_oilwells_demo_model_en_5.5.0_3.0_1725776267664.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tatar_oilwells_demo_model_en_5.5.0_3.0_1725776267664.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tatar_oilwells_demo_model|
+|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/Imvignesh/tt-oilwells-demo-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-test_en.md b/docs/_posts/ahmedlone127/2024-09-08-test_en.md
new file mode 100644
index 00000000000000..4315498e815fe8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-test_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English test MPNetEmbeddings from sheaDurgin
+author: John Snow Labs
+name: test
+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.`test` is a English model originally trained by sheaDurgin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_en_5.5.0_3.0_1725817125544.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_en_5.5.0_3.0_1725817125544.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[mpnet]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/sheaDurgin/test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-test_hf_distil_bert_toxic_df_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-test_hf_distil_bert_toxic_df_pipeline_en.md
new file mode 100644
index 00000000000000..bcfaa2ce7eadee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-test_hf_distil_bert_toxic_df_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English test_hf_distil_bert_toxic_df_pipeline pipeline DistilBertForSequenceClassification from AgneyPraseed
+author: John Snow Labs
+name: test_hf_distil_bert_toxic_df_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.`test_hf_distil_bert_toxic_df_pipeline` is a English model originally trained by AgneyPraseed.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_hf_distil_bert_toxic_df_pipeline_en_5.5.0_3.0_1725808406806.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_hf_distil_bert_toxic_df_pipeline_en_5.5.0_3.0_1725808406806.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("test_hf_distil_bert_toxic_df_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("test_hf_distil_bert_toxic_df_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_hf_distil_bert_toxic_df_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/AgneyPraseed/test_hf_distil_bert_toxic_df
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-test_model_lori0330_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-test_model_lori0330_pipeline_en.md
new file mode 100644
index 00000000000000..225548e2977207
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-test_model_lori0330_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English test_model_lori0330_pipeline pipeline DistilBertForSequenceClassification from lori0330
+author: John Snow Labs
+name: test_model_lori0330_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.`test_model_lori0330_pipeline` is a English model originally trained by lori0330.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_model_lori0330_pipeline_en_5.5.0_3.0_1725809019075.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_model_lori0330_pipeline_en_5.5.0_3.0_1725809019075.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("test_model_lori0330_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("test_model_lori0330_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_model_lori0330_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lori0330/test-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-testing1_anni000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-testing1_anni000_pipeline_en.md
new file mode 100644
index 00000000000000..52a37c00b18ec3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-testing1_anni000_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English testing1_anni000_pipeline pipeline DistilBertForSequenceClassification from Anni000
+author: John Snow Labs
+name: testing1_anni000_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.`testing1_anni000_pipeline` is a English model originally trained by Anni000.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/testing1_anni000_pipeline_en_5.5.0_3.0_1725808628500.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/testing1_anni000_pipeline_en_5.5.0_3.0_1725808628500.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("testing1_anni000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("testing1_anni000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|testing1_anni000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Anni000/testing1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-tipo_campanya_ong_v3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-tipo_campanya_ong_v3_pipeline_en.md
new file mode 100644
index 00000000000000..071b225880e21d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-tipo_campanya_ong_v3_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English tipo_campanya_ong_v3_pipeline pipeline MPNetEmbeddings from api19750904
+author: John Snow Labs
+name: tipo_campanya_ong_v3_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.`tipo_campanya_ong_v3_pipeline` is a English model originally trained by api19750904.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tipo_campanya_ong_v3_pipeline_en_5.5.0_3.0_1725816735612.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tipo_campanya_ong_v3_pipeline_en_5.5.0_3.0_1725816735612.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tipo_campanya_ong_v3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tipo_campanya_ong_v3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tipo_campanya_ong_v3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/api19750904/tipo_campanya_ong_v3
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-token_classification_model_vishnun0027_en.md b/docs/_posts/ahmedlone127/2024-09-08-token_classification_model_vishnun0027_en.md
new file mode 100644
index 00000000000000..79e2637d831af8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-token_classification_model_vishnun0027_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English token_classification_model_vishnun0027 DistilBertForTokenClassification from vishnun0027
+author: John Snow Labs
+name: token_classification_model_vishnun0027
+date: 2024-09-08
+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.`token_classification_model_vishnun0027` is a English model originally trained by vishnun0027.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/token_classification_model_vishnun0027_en_5.5.0_3.0_1725788375101.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/token_classification_model_vishnun0027_en_5.5.0_3.0_1725788375101.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|token_classification_model_vishnun0027|
+|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/vishnun0027/token_classification_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-trainer1f_en.md b/docs/_posts/ahmedlone127/2024-09-08-trainer1f_en.md
new file mode 100644
index 00000000000000..2fbdc064c75065
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-trainer1f_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English trainer1f DistilBertForSequenceClassification from SimoneJLaudani
+author: John Snow Labs
+name: trainer1f
+date: 2024-09-08
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`trainer1f` is a English model originally trained by SimoneJLaudani.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/trainer1f_en_5.5.0_3.0_1725777195053.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/trainer1f_en_5.5.0_3.0_1725777195053.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|translation_not_evaluated|
+|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/autoevaluate/translation-not-evaluated
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-translation_not_evaluated_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-translation_not_evaluated_pipeline_en.md
new file mode 100644
index 00000000000000..67119eeb0798ee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-translation_not_evaluated_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English translation_not_evaluated_pipeline pipeline MarianTransformer from autoevaluate
+author: John Snow Labs
+name: translation_not_evaluated_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.`translation_not_evaluated_pipeline` is a English model originally trained by autoevaluate.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/translation_not_evaluated_pipeline_en_5.5.0_3.0_1725766525586.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/translation_not_evaluated_pipeline_en_5.5.0_3.0_1725766525586.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("translation_not_evaluated_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("translation_not_evaluated_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|translation_not_evaluated_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|509.1 MB|
+
+## References
+
+https://huggingface.co/autoevaluate/translation-not-evaluated
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-wire_clustering_na_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-wire_clustering_na_pipeline_en.md
new file mode 100644
index 00000000000000..a1518fbaf2bfcf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-wire_clustering_na_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English wire_clustering_na_pipeline pipeline MPNetEmbeddings from dell-research-harvard
+author: John Snow Labs
+name: wire_clustering_na_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.`wire_clustering_na_pipeline` is a English model originally trained by dell-research-harvard.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/wire_clustering_na_pipeline_en_5.5.0_3.0_1725817276515.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/wire_clustering_na_pipeline_en_5.5.0_3.0_1725817276515.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("wire_clustering_na_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("wire_clustering_na_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|wire_clustering_na_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.3 MB|
+
+## References
+
+https://huggingface.co/dell-research-harvard/wire-clustering-na
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-xlm_roberta_base_final_mixed_aug_insert_bert_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-xlm_roberta_base_final_mixed_aug_insert_bert_2_pipeline_en.md
new file mode 100644
index 00000000000000..085e690cc74276
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-xlm_roberta_base_final_mixed_aug_insert_bert_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_final_mixed_aug_insert_bert_2_pipeline pipeline XlmRoBertaForSequenceClassification from ThuyNT03
+author: John Snow Labs
+name: xlm_roberta_base_final_mixed_aug_insert_bert_2_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 XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_final_mixed_aug_insert_bert_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_bert_2_pipeline_en_5.5.0_3.0_1725780728467.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_bert_2_pipeline_en_5.5.0_3.0_1725780728467.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_bert_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_final_mixed_aug_insert_bert_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_final_mixed_aug_insert_bert_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|795.4 MB|
+
+## References
+
+https://huggingface.co/ThuyNT03/xlm-roberta-base-Final_Mixed-aug_insert_BERT-2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-xlm_roberta_base_finetuned_panx_english_cyycyy_en.md b/docs/_posts/ahmedlone127/2024-09-08-xlm_roberta_base_finetuned_panx_english_cyycyy_en.md
new file mode 100644
index 00000000000000..62e31afcfe4cdc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-xlm_roberta_base_finetuned_panx_english_cyycyy_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_cyycyy XlmRoBertaForTokenClassification from cyycyy
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_cyycyy
+date: 2024-09-08
+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_cyycyy` is a English model originally trained by cyycyy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_cyycyy_en_5.5.0_3.0_1725783839649.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_cyycyy_en_5.5.0_3.0_1725783839649.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_cyycyy|
+|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/cyycyy/xlm-roberta-base-finetuned-panx-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-xlm_roberta_base_finetuned_panx_english_hbtemari_en.md b/docs/_posts/ahmedlone127/2024-09-08-xlm_roberta_base_finetuned_panx_english_hbtemari_en.md
new file mode 100644
index 00000000000000..9ead9a2645a047
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-xlm_roberta_base_finetuned_panx_english_hbtemari_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_hbtemari XlmRoBertaForTokenClassification from HBtemari
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_hbtemari
+date: 2024-09-08
+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_hbtemari` is a English model originally trained by HBtemari.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_hbtemari_en_5.5.0_3.0_1725807049023.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_hbtemari_en_5.5.0_3.0_1725807049023.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_hbtemari|
+|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/HBtemari/xlm-roberta-base-finetuned-panx-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-xlm_roberta_base_finetuned_panx_french_yezune_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-xlm_roberta_base_finetuned_panx_french_yezune_pipeline_en.md
new file mode 100644
index 00000000000000..f08aa9ed8eb25d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-xlm_roberta_base_finetuned_panx_french_yezune_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_yezune_pipeline pipeline XlmRoBertaForTokenClassification from yezune
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_yezune_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 XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_yezune_pipeline` is a English model originally trained by yezune.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_yezune_pipeline_en_5.5.0_3.0_1725783758008.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_yezune_pipeline_en_5.5.0_3.0_1725783758008.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_yezune_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_yezune_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_yezune_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|840.9 MB|
+
+## References
+
+https://huggingface.co/yezune/xlm-roberta-base-finetuned-panx-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-xlm_roberta_base_finetuned_panx_german_french_jjglilleberg_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-xlm_roberta_base_finetuned_panx_german_french_jjglilleberg_pipeline_en.md
new file mode 100644
index 00000000000000..02d8af74246e59
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-xlm_roberta_base_finetuned_panx_german_french_jjglilleberg_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_jjglilleberg_pipeline pipeline XlmRoBertaForTokenClassification from jjglilleberg
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_jjglilleberg_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 XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_jjglilleberg_pipeline` is a English model originally trained by jjglilleberg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_jjglilleberg_pipeline_en_5.5.0_3.0_1725785095881.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_jjglilleberg_pipeline_en_5.5.0_3.0_1725785095881.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_jjglilleberg_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_jjglilleberg_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_jjglilleberg_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|843.4 MB|
+
+## References
+
+https://huggingface.co/jjglilleberg/xlm-roberta-base-finetuned-panx-de-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-xlm_roberta_base_lcc_english_persian_farsi_2e_5_42_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-xlm_roberta_base_lcc_english_persian_farsi_2e_5_42_pipeline_en.md
new file mode 100644
index 00000000000000..e737ee53fb1928
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-xlm_roberta_base_lcc_english_persian_farsi_2e_5_42_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_lcc_english_persian_farsi_2e_5_42_pipeline pipeline XlmRoBertaForSequenceClassification from EhsanAghazadeh
+author: John Snow Labs
+name: xlm_roberta_base_lcc_english_persian_farsi_2e_5_42_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 XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_lcc_english_persian_farsi_2e_5_42_pipeline` is a English model originally trained by EhsanAghazadeh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_lcc_english_persian_farsi_2e_5_42_pipeline_en_5.5.0_3.0_1725799543432.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_lcc_english_persian_farsi_2e_5_42_pipeline_en_5.5.0_3.0_1725799543432.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_lcc_english_persian_farsi_2e_5_42_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_lcc_english_persian_farsi_2e_5_42_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_lcc_english_persian_farsi_2e_5_42_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|818.6 MB|
+
+## References
+
+https://huggingface.co/EhsanAghazadeh/xlm-roberta-base-lcc-en-fa-2e-5-42
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-xlm_roberta_base_sentiment_multilingual_xx.md b/docs/_posts/ahmedlone127/2024-09-08-xlm_roberta_base_sentiment_multilingual_xx.md
new file mode 100644
index 00000000000000..31cdf2aaa0cbe1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-xlm_roberta_base_sentiment_multilingual_xx.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Multilingual xlm_roberta_base_sentiment_multilingual XlmRoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: xlm_roberta_base_sentiment_multilingual
+date: 2024-09-08
+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.`xlm_roberta_base_sentiment_multilingual` is a Multilingual model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_sentiment_multilingual_xx_5.5.0_3.0_1725780805034.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_sentiment_multilingual_xx_5.5.0_3.0_1725780805034.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_sentiment_multilingual|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|xx|
+|Size:|820.0 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/xlm-roberta-base-sentiment-multilingual
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-xlm_roberta_base_tweet_sentiment_english_trimmed_english_60000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-xlm_roberta_base_tweet_sentiment_english_trimmed_english_60000_pipeline_en.md
new file mode 100644
index 00000000000000..fad63eed7088d0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-xlm_roberta_base_tweet_sentiment_english_trimmed_english_60000_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_tweet_sentiment_english_trimmed_english_60000_pipeline pipeline XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_roberta_base_tweet_sentiment_english_trimmed_english_60000_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 XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_tweet_sentiment_english_trimmed_english_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_tweet_sentiment_english_trimmed_english_60000_pipeline_en_5.5.0_3.0_1725780429424.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_tweet_sentiment_english_trimmed_english_60000_pipeline_en_5.5.0_3.0_1725780429424.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_english_trimmed_english_60000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_tweet_sentiment_english_trimmed_english_60000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_tweet_sentiment_english_trimmed_english_60000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|444.6 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-roberta-base-tweet-sentiment-en-trimmed-en-60000
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-xlmr_base_trained_panx_japanese_en.md b/docs/_posts/ahmedlone127/2024-09-08-xlmr_base_trained_panx_japanese_en.md
new file mode 100644
index 00000000000000..def30ab2d7bbff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-xlmr_base_trained_panx_japanese_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlmr_base_trained_panx_japanese XlmRoBertaForTokenClassification from DeepaPeri
+author: John Snow Labs
+name: xlmr_base_trained_panx_japanese
+date: 2024-09-08
+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_panx_japanese` is a English model originally trained by DeepaPeri.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlmr_base_trained_panx_japanese_en_5.5.0_3.0_1725784016440.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlmr_base_trained_panx_japanese_en_5.5.0_3.0_1725784016440.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_panx_japanese|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|789.7 MB|
+
+## References
+
+https://huggingface.co/DeepaPeri/XLMR-BASE-TRAINED-PANX-ja
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-xtremedistil_l12_h384_uncased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-xtremedistil_l12_h384_uncased_pipeline_en.md
new file mode 100644
index 00000000000000..2cbb1929f80951
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-xtremedistil_l12_h384_uncased_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xtremedistil_l12_h384_uncased_pipeline pipeline BertForSequenceClassification from microsoft
+author: John Snow Labs
+name: xtremedistil_l12_h384_uncased_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.`xtremedistil_l12_h384_uncased_pipeline` is a English model originally trained by microsoft.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xtremedistil_l12_h384_uncased_pipeline_en_5.5.0_3.0_1725801986030.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xtremedistil_l12_h384_uncased_pipeline_en_5.5.0_3.0_1725801986030.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xtremedistil_l12_h384_uncased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xtremedistil_l12_h384_uncased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xtremedistil_l12_h384_uncased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|124.2 MB|
+
+## References
+
+https://huggingface.co/microsoft/xtremedistil-l12-h384-uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-yappy_fine_tuned_opus_maltese_russian_english_en.md b/docs/_posts/ahmedlone127/2024-09-08-yappy_fine_tuned_opus_maltese_russian_english_en.md
new file mode 100644
index 00000000000000..bec6e2d96b42e9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-yappy_fine_tuned_opus_maltese_russian_english_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English yappy_fine_tuned_opus_maltese_russian_english MarianTransformer from lightsource
+author: John Snow Labs
+name: yappy_fine_tuned_opus_maltese_russian_english
+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.`yappy_fine_tuned_opus_maltese_russian_english` is a English model originally trained by lightsource.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/yappy_fine_tuned_opus_maltese_russian_english_en_5.5.0_3.0_1725824475536.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/yappy_fine_tuned_opus_maltese_russian_english_en_5.5.0_3.0_1725824475536.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|yappy_fine_tuned_opus_maltese_russian_english|
+|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/lightsource/yappy-fine-tuned-opus-mt-ru-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-action_classifier_v2_en.md b/docs/_posts/ahmedlone127/2024-09-09-action_classifier_v2_en.md
new file mode 100644
index 00000000000000..d19d6fc6df7949
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-action_classifier_v2_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English action_classifier_v2 MPNetEmbeddings from futuredatascience
+author: John Snow Labs
+name: action_classifier_v2
+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.`action_classifier_v2` is a English model originally trained by futuredatascience.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/action_classifier_v2_en_5.5.0_3.0_1725896688324.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/action_classifier_v2_en_5.5.0_3.0_1725896688324.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|action_classifier_v2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[mpnet]|
+|Language:|en|
+|Size:|407.0 MB|
+
+## References
+
+https://huggingface.co/futuredatascience/action-classifier-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-adaptationbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-adaptationbert_pipeline_en.md
new file mode 100644
index 00000000000000..3aaa8e3777015a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-adaptationbert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English adaptationbert_pipeline pipeline RoBertaForSequenceClassification from ClimateLouie
+author: John Snow Labs
+name: adaptationbert_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.`adaptationbert_pipeline` is a English model originally trained by ClimateLouie.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/adaptationbert_pipeline_en_5.5.0_3.0_1725911688500.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/adaptationbert_pipeline_en_5.5.0_3.0_1725911688500.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("adaptationbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("adaptationbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|adaptationbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/ClimateLouie/AdaptationBERT
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-afriberta_small_finetuned_pidgin_sentiment_ayour2_en.md b/docs/_posts/ahmedlone127/2024-09-09-afriberta_small_finetuned_pidgin_sentiment_ayour2_en.md
new file mode 100644
index 00000000000000..ccabc3b95ec381
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-afriberta_small_finetuned_pidgin_sentiment_ayour2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English afriberta_small_finetuned_pidgin_sentiment_ayour2 XlmRoBertaForSequenceClassification from Tiamz
+author: John Snow Labs
+name: afriberta_small_finetuned_pidgin_sentiment_ayour2
+date: 2024-09-09
+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.`afriberta_small_finetuned_pidgin_sentiment_ayour2` is a English model originally trained by Tiamz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/afriberta_small_finetuned_pidgin_sentiment_ayour2_en_5.5.0_3.0_1725906737205.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/afriberta_small_finetuned_pidgin_sentiment_ayour2_en_5.5.0_3.0_1725906737205.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|afriberta_small_finetuned_pidgin_sentiment_ayour2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|310.8 MB|
+
+## References
+
+https://huggingface.co/Tiamz/afriberta_small-finetuned-Pidgin-sentiment-ayour2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-afriberta_small_finetuned_pidgin_sentiment_ayour2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-afriberta_small_finetuned_pidgin_sentiment_ayour2_pipeline_en.md
new file mode 100644
index 00000000000000..5ca45489467f8b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-afriberta_small_finetuned_pidgin_sentiment_ayour2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English afriberta_small_finetuned_pidgin_sentiment_ayour2_pipeline pipeline XlmRoBertaForSequenceClassification from Tiamz
+author: John Snow Labs
+name: afriberta_small_finetuned_pidgin_sentiment_ayour2_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.`afriberta_small_finetuned_pidgin_sentiment_ayour2_pipeline` is a English model originally trained by Tiamz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/afriberta_small_finetuned_pidgin_sentiment_ayour2_pipeline_en_5.5.0_3.0_1725906752437.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/afriberta_small_finetuned_pidgin_sentiment_ayour2_pipeline_en_5.5.0_3.0_1725906752437.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("afriberta_small_finetuned_pidgin_sentiment_ayour2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("afriberta_small_finetuned_pidgin_sentiment_ayour2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|afriberta_small_finetuned_pidgin_sentiment_ayour2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|310.8 MB|
+
+## References
+
+https://huggingface.co/Tiamz/afriberta_small-finetuned-Pidgin-sentiment-ayour2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-albert_turkish_turkish_hotel_reviews_pipeline_tr.md b/docs/_posts/ahmedlone127/2024-09-09-albert_turkish_turkish_hotel_reviews_pipeline_tr.md
new file mode 100644
index 00000000000000..674f54a446a0e4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-albert_turkish_turkish_hotel_reviews_pipeline_tr.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Turkish albert_turkish_turkish_hotel_reviews_pipeline pipeline AlbertForSequenceClassification from anilguven
+author: John Snow Labs
+name: albert_turkish_turkish_hotel_reviews_pipeline
+date: 2024-09-09
+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_hotel_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_hotel_reviews_pipeline_tr_5.5.0_3.0_1725854608578.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_turkish_turkish_hotel_reviews_pipeline_tr_5.5.0_3.0_1725854608578.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("albert_turkish_turkish_hotel_reviews_pipeline", lang = "tr")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("albert_turkish_turkish_hotel_reviews_pipeline", lang = "tr")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_turkish_turkish_hotel_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_hotel_reviews
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- AlbertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-albert_turkish_turkish_hotel_reviews_tr.md b/docs/_posts/ahmedlone127/2024-09-09-albert_turkish_turkish_hotel_reviews_tr.md
new file mode 100644
index 00000000000000..ad6c74a0dfde72
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-albert_turkish_turkish_hotel_reviews_tr.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Turkish albert_turkish_turkish_hotel_reviews AlbertForSequenceClassification from anilguven
+author: John Snow Labs
+name: albert_turkish_turkish_hotel_reviews
+date: 2024-09-09
+tags: [tr, open_source, onnx, sequence_classification, albert]
+task: Text Classification
+language: tr
+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_turkish_turkish_hotel_reviews` is a Turkish model originally trained by anilguven.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_turkish_turkish_hotel_reviews_tr_5.5.0_3.0_1725854606150.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_turkish_turkish_hotel_reviews_tr_5.5.0_3.0_1725854606150.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_turkish_turkish_hotel_reviews|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|tr|
+|Size:|45.1 MB|
+
+## References
+
+https://huggingface.co/anilguven/albert_tr_turkish_hotel_reviews
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-alberta_base_akadhim_ai_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-alberta_base_akadhim_ai_pipeline_en.md
new file mode 100644
index 00000000000000..142285937a3e29
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-alberta_base_akadhim_ai_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English alberta_base_akadhim_ai_pipeline pipeline RoBertaForSequenceClassification from akadhim-ai
+author: John Snow Labs
+name: alberta_base_akadhim_ai_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.`alberta_base_akadhim_ai_pipeline` is a English model originally trained by akadhim-ai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/alberta_base_akadhim_ai_pipeline_en_5.5.0_3.0_1725902983404.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/alberta_base_akadhim_ai_pipeline_en_5.5.0_3.0_1725902983404.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("alberta_base_akadhim_ai_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("alberta_base_akadhim_ai_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|alberta_base_akadhim_ai_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|424.3 MB|
+
+## References
+
+https://huggingface.co/akadhim-ai/alberta_base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-all_mpnet_base_v2_2epoch_100pair_mar2_closs_prsn_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-all_mpnet_base_v2_2epoch_100pair_mar2_closs_prsn_pipeline_en.md
new file mode 100644
index 00000000000000..28e08e238d76e0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-all_mpnet_base_v2_2epoch_100pair_mar2_closs_prsn_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English all_mpnet_base_v2_2epoch_100pair_mar2_closs_prsn_pipeline pipeline MPNetEmbeddings from ahessamb
+author: John Snow Labs
+name: all_mpnet_base_v2_2epoch_100pair_mar2_closs_prsn_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 MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_mpnet_base_v2_2epoch_100pair_mar2_closs_prsn_pipeline` is a English model originally trained by ahessamb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_mpnet_base_v2_2epoch_100pair_mar2_closs_prsn_pipeline_en_5.5.0_3.0_1725896818897.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_mpnet_base_v2_2epoch_100pair_mar2_closs_prsn_pipeline_en_5.5.0_3.0_1725896818897.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("all_mpnet_base_v2_2epoch_100pair_mar2_closs_prsn_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("all_mpnet_base_v2_2epoch_100pair_mar2_closs_prsn_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_mpnet_base_v2_2epoch_100pair_mar2_closs_prsn_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/ahessamb/all-mpnet-base-v2-2epoch-100pair-mar2-closs-prsn
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-all_mpnet_base_v2_kunwooshin_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-all_mpnet_base_v2_kunwooshin_pipeline_en.md
new file mode 100644
index 00000000000000..e8f2d682adcc22
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-all_mpnet_base_v2_kunwooshin_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English all_mpnet_base_v2_kunwooshin_pipeline pipeline MPNetEmbeddings from kunwooshin
+author: John Snow Labs
+name: all_mpnet_base_v2_kunwooshin_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 MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_mpnet_base_v2_kunwooshin_pipeline` is a English model originally trained by kunwooshin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_mpnet_base_v2_kunwooshin_pipeline_en_5.5.0_3.0_1725874540742.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_mpnet_base_v2_kunwooshin_pipeline_en_5.5.0_3.0_1725874540742.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("all_mpnet_base_v2_kunwooshin_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("all_mpnet_base_v2_kunwooshin_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_mpnet_base_v2_kunwooshin_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/kunwooshin/all-mpnet-base-v2
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-all_mpnet_base_v2_lr_1e_8_margin_1_epoch_3_en.md b/docs/_posts/ahmedlone127/2024-09-09-all_mpnet_base_v2_lr_1e_8_margin_1_epoch_3_en.md
new file mode 100644
index 00000000000000..7f389b125d72c6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-all_mpnet_base_v2_lr_1e_8_margin_1_epoch_3_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English all_mpnet_base_v2_lr_1e_8_margin_1_epoch_3 MPNetEmbeddings from luiz-and-robert-thesis
+author: John Snow Labs
+name: all_mpnet_base_v2_lr_1e_8_margin_1_epoch_3
+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.`all_mpnet_base_v2_lr_1e_8_margin_1_epoch_3` 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_base_v2_lr_1e_8_margin_1_epoch_3_en_5.5.0_3.0_1725874646722.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_mpnet_base_v2_lr_1e_8_margin_1_epoch_3_en_5.5.0_3.0_1725874646722.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_lr_1e_8_margin_1_epoch_3|
+|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-base-v2-lr-1e-8-margin-1-epoch-3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-all_mpnet_base_v2_margin_5_epoch_3_en.md b/docs/_posts/ahmedlone127/2024-09-09-all_mpnet_base_v2_margin_5_epoch_3_en.md
new file mode 100644
index 00000000000000..194f7653b0d3b9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-all_mpnet_base_v2_margin_5_epoch_3_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English all_mpnet_base_v2_margin_5_epoch_3 MPNetEmbeddings from luiz-and-robert-thesis
+author: John Snow Labs
+name: all_mpnet_base_v2_margin_5_epoch_3
+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.`all_mpnet_base_v2_margin_5_epoch_3` 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_base_v2_margin_5_epoch_3_en_5.5.0_3.0_1725875026101.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_mpnet_base_v2_margin_5_epoch_3_en_5.5.0_3.0_1725875026101.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_margin_5_epoch_3|
+|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/luiz-and-robert-thesis/all-mpnet-base-v2-margin-5-epoch-3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-all_mpnet_outcome_similarity_en.md b/docs/_posts/ahmedlone127/2024-09-09-all_mpnet_outcome_similarity_en.md
new file mode 100644
index 00000000000000..46c821b83f16af
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-all_mpnet_outcome_similarity_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English all_mpnet_outcome_similarity MPNetEmbeddings from laiking
+author: John Snow Labs
+name: all_mpnet_outcome_similarity
+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.`all_mpnet_outcome_similarity` is a English model originally trained by laiking.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_mpnet_outcome_similarity_en_5.5.0_3.0_1725896406048.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_mpnet_outcome_similarity_en_5.5.0_3.0_1725896406048.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_outcome_similarity|
+|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/laiking/all-mpnet-outcome-similarity
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-all_roberta_large_v1_meta_1000_16_5_oos_en.md b/docs/_posts/ahmedlone127/2024-09-09-all_roberta_large_v1_meta_1000_16_5_oos_en.md
new file mode 100644
index 00000000000000..670e275f189643
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-all_roberta_large_v1_meta_1000_16_5_oos_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English all_roberta_large_v1_meta_1000_16_5_oos RoBertaForSequenceClassification from fathyshalab
+author: John Snow Labs
+name: all_roberta_large_v1_meta_1000_16_5_oos
+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_meta_1000_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_meta_1000_16_5_oos_en_5.5.0_3.0_1725912234526.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_meta_1000_16_5_oos_en_5.5.0_3.0_1725912234526.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_meta_1000_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-meta-1000-16-5-oos
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-all_roberta_large_v1_work_1_16_5_en.md b/docs/_posts/ahmedlone127/2024-09-09-all_roberta_large_v1_work_1_16_5_en.md
new file mode 100644
index 00000000000000..e6996efc053d42
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-all_roberta_large_v1_work_1_16_5_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English all_roberta_large_v1_work_1_16_5 RoBertaForSequenceClassification from fathyshalab
+author: John Snow Labs
+name: all_roberta_large_v1_work_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_work_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_work_1_16_5_en_5.5.0_3.0_1725920964543.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_work_1_16_5_en_5.5.0_3.0_1725920964543.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_work_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-work-1-16-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-all_roberta_large_v1_work_4_16_5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-all_roberta_large_v1_work_4_16_5_pipeline_en.md
new file mode 100644
index 00000000000000..e0f59876f679ca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-all_roberta_large_v1_work_4_16_5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English all_roberta_large_v1_work_4_16_5_pipeline pipeline RoBertaForSequenceClassification from fathyshalab
+author: John Snow Labs
+name: all_roberta_large_v1_work_4_16_5_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.`all_roberta_large_v1_work_4_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_work_4_16_5_pipeline_en_5.5.0_3.0_1725904152919.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_work_4_16_5_pipeline_en_5.5.0_3.0_1725904152919.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_4_16_5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("all_roberta_large_v1_work_4_16_5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_roberta_large_v1_work_4_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-work-4-16-5
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-alvaro_marian_finetuned_italian_arabic_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-alvaro_marian_finetuned_italian_arabic_pipeline_en.md
new file mode 100644
index 00000000000000..10139a5fdba4cb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-alvaro_marian_finetuned_italian_arabic_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English alvaro_marian_finetuned_italian_arabic_pipeline pipeline MarianTransformer from Rooshan
+author: John Snow Labs
+name: alvaro_marian_finetuned_italian_arabic_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.`alvaro_marian_finetuned_italian_arabic_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_arabic_pipeline_en_5.5.0_3.0_1725913325881.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/alvaro_marian_finetuned_italian_arabic_pipeline_en_5.5.0_3.0_1725913325881.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_arabic_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("alvaro_marian_finetuned_italian_arabic_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|alvaro_marian_finetuned_italian_arabic_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|531.8 MB|
+
+## References
+
+https://huggingface.co/Rooshan/Alvaro-marian_finetuned_it_ar
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-alvaro_marian_finetuned_italian_pb_en.md b/docs/_posts/ahmedlone127/2024-09-09-alvaro_marian_finetuned_italian_pb_en.md
new file mode 100644
index 00000000000000..3f7f75af37b36c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-alvaro_marian_finetuned_italian_pb_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English alvaro_marian_finetuned_italian_pb MarianTransformer from Rooshan
+author: John Snow Labs
+name: alvaro_marian_finetuned_italian_pb
+date: 2024-09-09
+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.`alvaro_marian_finetuned_italian_pb` is a English model originally trained by Rooshan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/alvaro_marian_finetuned_italian_pb_en_5.5.0_3.0_1725914294917.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/alvaro_marian_finetuned_italian_pb_en_5.5.0_3.0_1725914294917.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_pb|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|376.3 MB|
+
+## References
+
+https://huggingface.co/Rooshan/Alvaro-marian_finetuned_it_pb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-alvaro_marian_finetuned_italian_pb_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-alvaro_marian_finetuned_italian_pb_pipeline_en.md
new file mode 100644
index 00000000000000..febd90e2413384
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-alvaro_marian_finetuned_italian_pb_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English alvaro_marian_finetuned_italian_pb_pipeline pipeline MarianTransformer from Rooshan
+author: John Snow Labs
+name: alvaro_marian_finetuned_italian_pb_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.`alvaro_marian_finetuned_italian_pb_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_pb_pipeline_en_5.5.0_3.0_1725914313793.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/alvaro_marian_finetuned_italian_pb_pipeline_en_5.5.0_3.0_1725914313793.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_pb_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("alvaro_marian_finetuned_italian_pb_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|alvaro_marian_finetuned_italian_pb_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_pb
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-angela_diacritics_untranslated_eval_en.md b/docs/_posts/ahmedlone127/2024-09-09-angela_diacritics_untranslated_eval_en.md
new file mode 100644
index 00000000000000..1e867a01646919
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-angela_diacritics_untranslated_eval_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English angela_diacritics_untranslated_eval XlmRoBertaForTokenClassification from azhang1212
+author: John Snow Labs
+name: angela_diacritics_untranslated_eval
+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.`angela_diacritics_untranslated_eval` is a English model originally trained by azhang1212.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/angela_diacritics_untranslated_eval_en_5.5.0_3.0_1725922689574.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/angela_diacritics_untranslated_eval_en_5.5.0_3.0_1725922689574.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|angela_diacritics_untranslated_eval|
+|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/azhang1212/angela_diacritics_untranslated_eval
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-anime_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-anime_pipeline_en.md
new file mode 100644
index 00000000000000..e065cfd62a0c44
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-anime_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English anime_pipeline pipeline MPNetEmbeddings from toobi
+author: John Snow Labs
+name: anime_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 MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`anime_pipeline` is a English model originally trained by toobi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/anime_pipeline_en_5.5.0_3.0_1725896713583.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/anime_pipeline_en_5.5.0_3.0_1725896713583.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("anime_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("anime_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|anime_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/toobi/anime
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-apologise_for_waiting_bert_first256_en.md b/docs/_posts/ahmedlone127/2024-09-09-apologise_for_waiting_bert_first256_en.md
new file mode 100644
index 00000000000000..d8f38552a94a87
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-apologise_for_waiting_bert_first256_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English apologise_for_waiting_bert_first256 BertForSequenceClassification from etadevosyan
+author: John Snow Labs
+name: apologise_for_waiting_bert_first256
+date: 2024-09-09
+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.`apologise_for_waiting_bert_first256` is a English model originally trained by etadevosyan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/apologise_for_waiting_bert_first256_en_5.5.0_3.0_1725900802533.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/apologise_for_waiting_bert_first256_en_5.5.0_3.0_1725900802533.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|araroberta_sanskrit_saskta|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|ar|
+|Size:|471.0 MB|
+
+## References
+
+https://huggingface.co/reemalyami/AraRoBERTa-SA
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-args_me_crossencoder_v1_en.md b/docs/_posts/ahmedlone127/2024-09-09-args_me_crossencoder_v1_en.md
new file mode 100644
index 00000000000000..2f3d23ac13376f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-args_me_crossencoder_v1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English args_me_crossencoder_v1 RoBertaForSequenceClassification from ragarwal
+author: John Snow Labs
+name: args_me_crossencoder_v1
+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.`args_me_crossencoder_v1` is a English model originally trained by ragarwal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/args_me_crossencoder_v1_en_5.5.0_3.0_1725920566203.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/args_me_crossencoder_v1_en_5.5.0_3.0_1725920566203.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|args_me_crossencoder_v1|
+|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/ragarwal/args-me-crossencoder-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-argument_classification_ukp_sentence_roberta_en.md b/docs/_posts/ahmedlone127/2024-09-09-argument_classification_ukp_sentence_roberta_en.md
new file mode 100644
index 00000000000000..a418883663745e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-argument_classification_ukp_sentence_roberta_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English argument_classification_ukp_sentence_roberta RoBertaForSequenceClassification from anhuu
+author: John Snow Labs
+name: argument_classification_ukp_sentence_roberta
+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.`argument_classification_ukp_sentence_roberta` is a English model originally trained by anhuu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/argument_classification_ukp_sentence_roberta_en_5.5.0_3.0_1725912254407.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/argument_classification_ukp_sentence_roberta_en_5.5.0_3.0_1725912254407.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|argument_classification_ukp_sentence_roberta|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|437.1 MB|
+
+## References
+
+https://huggingface.co/anhuu/argument_classification_UKP_sentence_roberta
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-argument_classification_ukp_sentence_roberta_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-argument_classification_ukp_sentence_roberta_pipeline_en.md
new file mode 100644
index 00000000000000..a225f122fee3d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-argument_classification_ukp_sentence_roberta_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English argument_classification_ukp_sentence_roberta_pipeline pipeline RoBertaForSequenceClassification from anhuu
+author: John Snow Labs
+name: argument_classification_ukp_sentence_roberta_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.`argument_classification_ukp_sentence_roberta_pipeline` is a English model originally trained by anhuu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/argument_classification_ukp_sentence_roberta_pipeline_en_5.5.0_3.0_1725912292229.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/argument_classification_ukp_sentence_roberta_pipeline_en_5.5.0_3.0_1725912292229.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("argument_classification_ukp_sentence_roberta_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("argument_classification_ukp_sentence_roberta_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|argument_classification_ukp_sentence_roberta_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|437.1 MB|
+
+## References
+
+https://huggingface.co/anhuu/argument_classification_UKP_sentence_roberta
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-argureviews_sentiment_deberta_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-argureviews_sentiment_deberta_v1_pipeline_en.md
new file mode 100644
index 00000000000000..4d9a074154326f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-argureviews_sentiment_deberta_v1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English argureviews_sentiment_deberta_v1_pipeline pipeline DeBertaForSequenceClassification from nihiluis
+author: John Snow Labs
+name: argureviews_sentiment_deberta_v1_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 DeBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`argureviews_sentiment_deberta_v1_pipeline` is a English model originally trained by nihiluis.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/argureviews_sentiment_deberta_v1_pipeline_en_5.5.0_3.0_1725859657517.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/argureviews_sentiment_deberta_v1_pipeline_en_5.5.0_3.0_1725859657517.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("argureviews_sentiment_deberta_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("argureviews_sentiment_deberta_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|argureviews_sentiment_deberta_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.5 GB|
+
+## References
+
+https://huggingface.co/nihiluis/argureviews-sentiment-deberta_v1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DeBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-artificially_natural_roberta_jan_2024_en.md b/docs/_posts/ahmedlone127/2024-09-09-artificially_natural_roberta_jan_2024_en.md
new file mode 100644
index 00000000000000..a162ce60b2b741
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-artificially_natural_roberta_jan_2024_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English artificially_natural_roberta_jan_2024 RoBertaForSequenceClassification from ConnyGenz
+author: John Snow Labs
+name: artificially_natural_roberta_jan_2024
+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.`artificially_natural_roberta_jan_2024` is a English model originally trained by ConnyGenz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/artificially_natural_roberta_jan_2024_en_5.5.0_3.0_1725912418139.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/artificially_natural_roberta_jan_2024_en_5.5.0_3.0_1725912418139.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|artificially_natural_roberta_jan_2024|
+|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/ConnyGenz/artificially-natural-roberta-Jan-2024
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-artificially_natural_roberta_jan_2024_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-artificially_natural_roberta_jan_2024_pipeline_en.md
new file mode 100644
index 00000000000000..7ec54b8c7cb856
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-artificially_natural_roberta_jan_2024_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English artificially_natural_roberta_jan_2024_pipeline pipeline RoBertaForSequenceClassification from ConnyGenz
+author: John Snow Labs
+name: artificially_natural_roberta_jan_2024_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.`artificially_natural_roberta_jan_2024_pipeline` is a English model originally trained by ConnyGenz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/artificially_natural_roberta_jan_2024_pipeline_en_5.5.0_3.0_1725912441904.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/artificially_natural_roberta_jan_2024_pipeline_en_5.5.0_3.0_1725912441904.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("artificially_natural_roberta_jan_2024_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("artificially_natural_roberta_jan_2024_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|artificially_natural_roberta_jan_2024_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.5 MB|
+
+## References
+
+https://huggingface.co/ConnyGenz/artificially-natural-roberta-Jan-2024
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-augment_tweet_bert_large_e4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-augment_tweet_bert_large_e4_pipeline_en.md
new file mode 100644
index 00000000000000..6e7b7b353417c8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-augment_tweet_bert_large_e4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English augment_tweet_bert_large_e4_pipeline pipeline RoBertaForSequenceClassification from JerryYanJiang
+author: John Snow Labs
+name: augment_tweet_bert_large_e4_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.`augment_tweet_bert_large_e4_pipeline` is a English model originally trained by JerryYanJiang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/augment_tweet_bert_large_e4_pipeline_en_5.5.0_3.0_1725911440638.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/augment_tweet_bert_large_e4_pipeline_en_5.5.0_3.0_1725911440638.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("augment_tweet_bert_large_e4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("augment_tweet_bert_large_e4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|augment_tweet_bert_large_e4_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/augment-tweet-bert-large-e4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-autotrain_imdb_1166543179_en.md b/docs/_posts/ahmedlone127/2024-09-09-autotrain_imdb_1166543179_en.md
new file mode 100644
index 00000000000000..58f0e43ff56a9f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-autotrain_imdb_1166543179_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English autotrain_imdb_1166543179 RoBertaForSequenceClassification from ameerazam08
+author: John Snow Labs
+name: autotrain_imdb_1166543179
+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.`autotrain_imdb_1166543179` is a English model originally trained by ameerazam08.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_imdb_1166543179_en_5.5.0_3.0_1725904655867.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_imdb_1166543179_en_5.5.0_3.0_1725904655867.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autotrain_imdb_1166543179|
+|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/ameerazam08/autotrain-imdb-1166543179
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-autotrain_imdb_1166543179_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-autotrain_imdb_1166543179_pipeline_en.md
new file mode 100644
index 00000000000000..cc03ced7b73943
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-autotrain_imdb_1166543179_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English autotrain_imdb_1166543179_pipeline pipeline RoBertaForSequenceClassification from ameerazam08
+author: John Snow Labs
+name: autotrain_imdb_1166543179_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.`autotrain_imdb_1166543179_pipeline` is a English model originally trained by ameerazam08.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_imdb_1166543179_pipeline_en_5.5.0_3.0_1725904722578.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_imdb_1166543179_pipeline_en_5.5.0_3.0_1725904722578.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("autotrain_imdb_1166543179_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("autotrain_imdb_1166543179_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autotrain_imdb_1166543179_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/ameerazam08/autotrain-imdb-1166543179
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-autotrain_ve993_lub6e_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-autotrain_ve993_lub6e_pipeline_en.md
new file mode 100644
index 00000000000000..142d17a0b1ad03
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-autotrain_ve993_lub6e_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English autotrain_ve993_lub6e_pipeline pipeline MarianTransformer from LRJ1981
+author: John Snow Labs
+name: autotrain_ve993_lub6e_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.`autotrain_ve993_lub6e_pipeline` is a English model originally trained by LRJ1981.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_ve993_lub6e_pipeline_en_5.5.0_3.0_1725914039377.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_ve993_lub6e_pipeline_en_5.5.0_3.0_1725914039377.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("autotrain_ve993_lub6e_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("autotrain_ve993_lub6e_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autotrain_ve993_lub6e_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|505.2 MB|
+
+## References
+
+https://huggingface.co/LRJ1981/autotrain-ve993-lub6e
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-autotrain_xlm_roberta_base_reviews_672119799_en.md b/docs/_posts/ahmedlone127/2024-09-09-autotrain_xlm_roberta_base_reviews_672119799_en.md
new file mode 100644
index 00000000000000..937ea184dc0a7f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-autotrain_xlm_roberta_base_reviews_672119799_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English autotrain_xlm_roberta_base_reviews_672119799 XlmRoBertaForSequenceClassification from YXHugging
+author: John Snow Labs
+name: autotrain_xlm_roberta_base_reviews_672119799
+date: 2024-09-09
+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.`autotrain_xlm_roberta_base_reviews_672119799` is a English model originally trained by YXHugging.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_xlm_roberta_base_reviews_672119799_en_5.5.0_3.0_1725907859800.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_xlm_roberta_base_reviews_672119799_en_5.5.0_3.0_1725907859800.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autotrain_xlm_roberta_base_reviews_672119799|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|858.1 MB|
+
+## References
+
+https://huggingface.co/YXHugging/autotrain-xlm-roberta-base-reviews-672119799
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-autotrain_xlm_roberta_base_reviews_672119799_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-autotrain_xlm_roberta_base_reviews_672119799_pipeline_en.md
new file mode 100644
index 00000000000000..07ff4d3c9b9b22
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-autotrain_xlm_roberta_base_reviews_672119799_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English autotrain_xlm_roberta_base_reviews_672119799_pipeline pipeline XlmRoBertaForSequenceClassification from YXHugging
+author: John Snow Labs
+name: autotrain_xlm_roberta_base_reviews_672119799_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.`autotrain_xlm_roberta_base_reviews_672119799_pipeline` is a English model originally trained by YXHugging.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_xlm_roberta_base_reviews_672119799_pipeline_en_5.5.0_3.0_1725907967603.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_xlm_roberta_base_reviews_672119799_pipeline_en_5.5.0_3.0_1725907967603.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("autotrain_xlm_roberta_base_reviews_672119799_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("autotrain_xlm_roberta_base_reviews_672119799_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autotrain_xlm_roberta_base_reviews_672119799_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|858.1 MB|
+
+## References
+
+https://huggingface.co/YXHugging/autotrain-xlm-roberta-base-reviews-672119799
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-babyberta_aochildes_2_5m_aochildes_french_without_masking_seed3_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2024-09-09-babyberta_aochildes_2_5m_aochildes_french_without_masking_seed3_finetuned_squad_en.md
new file mode 100644
index 00000000000000..b4011f71ad0743
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-babyberta_aochildes_2_5m_aochildes_french_without_masking_seed3_finetuned_squad_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English babyberta_aochildes_2_5m_aochildes_french_without_masking_seed3_finetuned_squad RoBertaForQuestionAnswering from lielbin
+author: John Snow Labs
+name: babyberta_aochildes_2_5m_aochildes_french_without_masking_seed3_finetuned_squad
+date: 2024-09-09
+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.`babyberta_aochildes_2_5m_aochildes_french_without_masking_seed3_finetuned_squad` is a English model originally trained by lielbin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/babyberta_aochildes_2_5m_aochildes_french_without_masking_seed3_finetuned_squad_en_5.5.0_3.0_1725866585925.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/babyberta_aochildes_2_5m_aochildes_french_without_masking_seed3_finetuned_squad_en_5.5.0_3.0_1725866585925.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_aochildes_2_5m_without_masking_seed6_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_aochildes_2.5M-without-Masking-seed6-finetuned-SQuAD
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-babyberta_aochildes_french_aochildes_2_5m_without_masking_seed6_finetuned_squad_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-babyberta_aochildes_french_aochildes_2_5m_without_masking_seed6_finetuned_squad_pipeline_en.md
new file mode 100644
index 00000000000000..121bbfc224270b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-babyberta_aochildes_french_aochildes_2_5m_without_masking_seed6_finetuned_squad_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English babyberta_aochildes_french_aochildes_2_5m_without_masking_seed6_finetuned_squad_pipeline pipeline RoBertaForQuestionAnswering from lielbin
+author: John Snow Labs
+name: babyberta_aochildes_french_aochildes_2_5m_without_masking_seed6_finetuned_squad_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.`babyberta_aochildes_french_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_aochildes_french_aochildes_2_5m_without_masking_seed6_finetuned_squad_pipeline_en_5.5.0_3.0_1725875816429.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/babyberta_aochildes_french_aochildes_2_5m_without_masking_seed6_finetuned_squad_pipeline_en_5.5.0_3.0_1725875816429.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("babyberta_aochildes_french_aochildes_2_5m_without_masking_seed6_finetuned_squad_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("babyberta_aochildes_french_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_aochildes_french_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-aochildes-french_aochildes_2.5M-without-Masking-seed6-finetuned-SQuAD
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-babyberta_childes_2_5_0_1_finetuned_qasrl_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-babyberta_childes_2_5_0_1_finetuned_qasrl_pipeline_en.md
new file mode 100644
index 00000000000000..f279e4c6c5597a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-babyberta_childes_2_5_0_1_finetuned_qasrl_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English babyberta_childes_2_5_0_1_finetuned_qasrl_pipeline pipeline RoBertaForQuestionAnswering from lielbin
+author: John Snow Labs
+name: babyberta_childes_2_5_0_1_finetuned_qasrl_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.`babyberta_childes_2_5_0_1_finetuned_qasrl_pipeline` is a English model originally trained by lielbin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/babyberta_childes_2_5_0_1_finetuned_qasrl_pipeline_en_5.5.0_3.0_1725876114604.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/babyberta_childes_2_5_0_1_finetuned_qasrl_pipeline_en_5.5.0_3.0_1725876114604.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("babyberta_childes_2_5_0_1_finetuned_qasrl_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("babyberta_childes_2_5_0_1_finetuned_qasrl_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|babyberta_childes_2_5_0_1_finetuned_qasrl_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-CHILDES_2.5-0.1-finetuned-QASRL
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-babyberta_wikipedia1_1_25m_wikipedia_french1_25m_without_masking_seed3_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2024-09-09-babyberta_wikipedia1_1_25m_wikipedia_french1_25m_without_masking_seed3_finetuned_squad_en.md
new file mode 100644
index 00000000000000..cf01def33e7d5a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-babyberta_wikipedia1_1_25m_wikipedia_french1_25m_without_masking_seed3_finetuned_squad_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English babyberta_wikipedia1_1_25m_wikipedia_french1_25m_without_masking_seed3_finetuned_squad RoBertaForQuestionAnswering from lielbin
+author: John Snow Labs
+name: babyberta_wikipedia1_1_25m_wikipedia_french1_25m_without_masking_seed3_finetuned_squad
+date: 2024-09-09
+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.`babyberta_wikipedia1_1_25m_wikipedia_french1_25m_without_masking_seed3_finetuned_squad` is a English model originally trained by lielbin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/babyberta_wikipedia1_1_25m_wikipedia_french1_25m_without_masking_seed3_finetuned_squad_en_5.5.0_3.0_1725876185536.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/babyberta_wikipedia1_1_25m_wikipedia_french1_25m_without_masking_seed3_finetuned_squad_en_5.5.0_3.0_1725876185536.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_1_25m_wikipedia_french1_25m_without_masking_seed3_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:|31.9 MB|
+
+## References
+
+https://huggingface.co/lielbin/BabyBERTa-wikipedia1_1.25M_wikipedia_french1.25M-without-Masking-seed3-finetuned-SQuAD
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-babyberta_wikipedia_french_aochildes_french_without_masking_seed6_finetuned_squad_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-babyberta_wikipedia_french_aochildes_french_without_masking_seed6_finetuned_squad_pipeline_en.md
new file mode 100644
index 00000000000000..e68f1ae21805bf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-babyberta_wikipedia_french_aochildes_french_without_masking_seed6_finetuned_squad_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English babyberta_wikipedia_french_aochildes_french_without_masking_seed6_finetuned_squad_pipeline pipeline RoBertaForQuestionAnswering from lielbin
+author: John Snow Labs
+name: babyberta_wikipedia_french_aochildes_french_without_masking_seed6_finetuned_squad_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.`babyberta_wikipedia_french_aochildes_french_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_wikipedia_french_aochildes_french_without_masking_seed6_finetuned_squad_pipeline_en_5.5.0_3.0_1725876468215.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/babyberta_wikipedia_french_aochildes_french_without_masking_seed6_finetuned_squad_pipeline_en_5.5.0_3.0_1725876468215.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("babyberta_wikipedia_french_aochildes_french_without_masking_seed6_finetuned_squad_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("babyberta_wikipedia_french_aochildes_french_without_masking_seed6_finetuned_squad_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|babyberta_wikipedia_french_aochildes_french_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-wikipedia_french_aochildes-french-without-Masking-seed6-finetuned-SQuAD
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-babyberta_wikipedia_french_run3_with_masking_finetuned_french_squad_en.md b/docs/_posts/ahmedlone127/2024-09-09-babyberta_wikipedia_french_run3_with_masking_finetuned_french_squad_en.md
new file mode 100644
index 00000000000000..70a7448da8f572
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-babyberta_wikipedia_french_run3_with_masking_finetuned_french_squad_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English babyberta_wikipedia_french_run3_with_masking_finetuned_french_squad RoBertaForQuestionAnswering from lielbin
+author: John Snow Labs
+name: babyberta_wikipedia_french_run3_with_masking_finetuned_french_squad
+date: 2024-09-09
+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.`babyberta_wikipedia_french_run3_with_masking_finetuned_french_squad` is a English model originally trained by lielbin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/babyberta_wikipedia_french_run3_with_masking_finetuned_french_squad_en_5.5.0_3.0_1725876177707.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/babyberta_wikipedia_french_run3_with_masking_finetuned_french_squad_en_5.5.0_3.0_1725876177707.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|banking77|
+|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/IreNkweke/banking77
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-banking77_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-banking77_pipeline_en.md
new file mode 100644
index 00000000000000..b0b06322c3cc79
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-banking77_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English banking77_pipeline pipeline DistilBertEmbeddings from IreNkweke
+author: John Snow Labs
+name: banking77_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.`banking77_pipeline` is a English model originally trained by IreNkweke.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/banking77_pipeline_en_5.5.0_3.0_1725909235902.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/banking77_pipeline_en_5.5.0_3.0_1725909235902.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("banking77_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("banking77_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|banking77_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/IreNkweke/banking77
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-bent_pubmedbert_ner_cell_type_en.md b/docs/_posts/ahmedlone127/2024-09-09-bent_pubmedbert_ner_cell_type_en.md
new file mode 100644
index 00000000000000..0618b0241ccf81
--- /dev/null
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@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bent_pubmedbert_ner_cell_type BertForTokenClassification from pruas
+author: John Snow Labs
+name: bent_pubmedbert_ner_cell_type
+date: 2024-09-09
+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.`bent_pubmedbert_ner_cell_type` is a English model originally trained by pruas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bent_pubmedbert_ner_cell_type_en_5.5.0_3.0_1725886948121.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bent_pubmedbert_ner_cell_type_en_5.5.0_3.0_1725886948121.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_pubmedqamodel|
+|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/pythonist/bert-base-cased-PubmedQAmodel
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-bert_base_uncased_newscategoryclassification_fullmodel_5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-bert_base_uncased_newscategoryclassification_fullmodel_5_pipeline_en.md
new file mode 100644
index 00000000000000..491fee3fa94772
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-bert_base_uncased_newscategoryclassification_fullmodel_5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_uncased_newscategoryclassification_fullmodel_5_pipeline pipeline DistilBertForSequenceClassification from akashmaggon
+author: John Snow Labs
+name: bert_base_uncased_newscategoryclassification_fullmodel_5_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 DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_newscategoryclassification_fullmodel_5_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_5_pipeline_en_5.5.0_3.0_1725872887979.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_newscategoryclassification_fullmodel_5_pipeline_en_5.5.0_3.0_1725872887979.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_5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_newscategoryclassification_fullmodel_5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_newscategoryclassification_fullmodel_5_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-5
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-bert_cased_profanity_en.md b/docs/_posts/ahmedlone127/2024-09-09-bert_cased_profanity_en.md
new file mode 100644
index 00000000000000..b5c900c79a8448
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-bert_cased_profanity_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_cased_profanity BertForSequenceClassification from SenswiseData
+author: John Snow Labs
+name: bert_cased_profanity
+date: 2024-09-09
+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_cased_profanity` is a English model originally trained by SenswiseData.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_cased_profanity_en_5.5.0_3.0_1725853094996.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_cased_profanity_en_5.5.0_3.0_1725853094996.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_english_news_classification_headlines|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|xx|
+|Size:|409.4 MB|
+
+## References
+
+References
+
+- https://huggingface.co/M47Labs/english_news_classification_headlines
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-bert_classifier_norwegian_bokml_base_user_needs_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-bert_classifier_norwegian_bokml_base_user_needs_pipeline_en.md
new file mode 100644
index 00000000000000..5a02040d4842c0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-bert_classifier_norwegian_bokml_base_user_needs_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_classifier_norwegian_bokml_base_user_needs_pipeline pipeline BertForSequenceClassification from thusken
+author: John Snow Labs
+name: bert_classifier_norwegian_bokml_base_user_needs_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.`bert_classifier_norwegian_bokml_base_user_needs_pipeline` is a English model originally trained by thusken.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_classifier_norwegian_bokml_base_user_needs_pipeline_en_5.5.0_3.0_1725900447364.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_classifier_norwegian_bokml_base_user_needs_pipeline_en_5.5.0_3.0_1725900447364.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_classifier_norwegian_bokml_base_user_needs_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_classifier_norwegian_bokml_base_user_needs_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_classifier_norwegian_bokml_base_user_needs_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|668.5 MB|
+
+## References
+
+https://huggingface.co/thusken/nb-bert-base-user-needs
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-bert_classifier_norwegian_bokml_large_user_needs_nb.md b/docs/_posts/ahmedlone127/2024-09-09-bert_classifier_norwegian_bokml_large_user_needs_nb.md
new file mode 100644
index 00000000000000..d3412fb9cd628e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-bert_classifier_norwegian_bokml_large_user_needs_nb.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Norwegian Bokmål bert_classifier_norwegian_bokml_large_user_needs BertForSequenceClassification from thusken
+author: John Snow Labs
+name: bert_classifier_norwegian_bokml_large_user_needs
+date: 2024-09-09
+tags: [nb, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: nb
+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_classifier_norwegian_bokml_large_user_needs` is a Norwegian Bokmål model originally trained by thusken.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_classifier_norwegian_bokml_large_user_needs_nb_5.5.0_3.0_1725900296193.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_classifier_norwegian_bokml_large_user_needs_nb_5.5.0_3.0_1725900296193.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_sb|
+|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/EColi/SB_Classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-bert_classifier_sead_l_6_h_384_a_12_qqp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-bert_classifier_sead_l_6_h_384_a_12_qqp_pipeline_en.md
new file mode 100644
index 00000000000000..6c5c68b6db6753
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-bert_classifier_sead_l_6_h_384_a_12_qqp_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_classifier_sead_l_6_h_384_a_12_qqp_pipeline pipeline BertForSequenceClassification from course5i
+author: John Snow Labs
+name: bert_classifier_sead_l_6_h_384_a_12_qqp_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.`bert_classifier_sead_l_6_h_384_a_12_qqp_pipeline` is a English model originally trained by course5i.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_classifier_sead_l_6_h_384_a_12_qqp_pipeline_en_5.5.0_3.0_1725899916384.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_classifier_sead_l_6_h_384_a_12_qqp_pipeline_en_5.5.0_3.0_1725899916384.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_classifier_sead_l_6_h_384_a_12_qqp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_classifier_sead_l_6_h_384_a_12_qqp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_classifier_sead_l_6_h_384_a_12_qqp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|84.4 MB|
+
+## References
+
+https://huggingface.co/course5i/SEAD-L-6_H-384_A-12-qqp
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-bert_finetuned_phishing_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-bert_finetuned_phishing_pipeline_en.md
new file mode 100644
index 00000000000000..3d86b7e09c5207
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-bert_finetuned_phishing_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_finetuned_phishing_pipeline pipeline BertForSequenceClassification from ealvaradob
+author: John Snow Labs
+name: bert_finetuned_phishing_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.`bert_finetuned_phishing_pipeline` is a English model originally trained by ealvaradob.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_phishing_pipeline_en_5.5.0_3.0_1725900552120.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_phishing_pipeline_en_5.5.0_3.0_1725900552120.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finetuned_phishing_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finetuned_phishing_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_phishing_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/ealvaradob/bert-finetuned-phishing
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-bert_leg_al_perplexity_en.md b/docs/_posts/ahmedlone127/2024-09-09-bert_leg_al_perplexity_en.md
new file mode 100644
index 00000000000000..6429ab0de8baee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-bert_leg_al_perplexity_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_leg_al_perplexity RoBertaEmbeddings from desarrolloasesoreslocales
+author: John Snow Labs
+name: bert_leg_al_perplexity
+date: 2024-09-09
+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.`bert_leg_al_perplexity` is a English model originally trained by desarrolloasesoreslocales.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_leg_al_perplexity_en_5.5.0_3.0_1725910403352.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_leg_al_perplexity_en_5.5.0_3.0_1725910403352.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_leg_al_perplexity|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|468.5 MB|
+
+## References
+
+https://huggingface.co/desarrolloasesoreslocales/bert-leg-al-perplexity
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-bert_leg_al_perplexity_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-bert_leg_al_perplexity_pipeline_en.md
new file mode 100644
index 00000000000000..9995fc7506c9ed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-bert_leg_al_perplexity_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_leg_al_perplexity_pipeline pipeline RoBertaEmbeddings from desarrolloasesoreslocales
+author: John Snow Labs
+name: bert_leg_al_perplexity_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.`bert_leg_al_perplexity_pipeline` is a English model originally trained by desarrolloasesoreslocales.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_leg_al_perplexity_pipeline_en_5.5.0_3.0_1725910427146.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_leg_al_perplexity_pipeline_en_5.5.0_3.0_1725910427146.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_leg_al_perplexity_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_leg_al_perplexity_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_leg_al_perplexity_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.5 MB|
+
+## References
+
+https://huggingface.co/desarrolloasesoreslocales/bert-leg-al-perplexity
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-bert_moral_emotion_kor_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-bert_moral_emotion_kor_pipeline_en.md
new file mode 100644
index 00000000000000..abcd3a5a2f8535
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-bert_moral_emotion_kor_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_moral_emotion_kor_pipeline pipeline BertForSequenceClassification from Chaeyoon
+author: John Snow Labs
+name: bert_moral_emotion_kor_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.`bert_moral_emotion_kor_pipeline` is a English model originally trained by Chaeyoon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_moral_emotion_kor_pipeline_en_5.5.0_3.0_1725856570073.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_moral_emotion_kor_pipeline_en_5.5.0_3.0_1725856570073.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_moral_emotion_kor_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_moral_emotion_kor_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_moral_emotion_kor_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|408.5 MB|
+
+## References
+
+https://huggingface.co/Chaeyoon/BERT-Moral-Emotion-KOR
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-bert_southern_sotho_qa_multi_qa_mpnet_base_cos_v1_epochs_10_en.md b/docs/_posts/ahmedlone127/2024-09-09-bert_southern_sotho_qa_multi_qa_mpnet_base_cos_v1_epochs_10_en.md
new file mode 100644
index 00000000000000..d8bf518a87b380
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-bert_southern_sotho_qa_multi_qa_mpnet_base_cos_v1_epochs_10_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English bert_southern_sotho_qa_multi_qa_mpnet_base_cos_v1_epochs_10 MPNetEmbeddings from abhijitt
+author: John Snow Labs
+name: bert_southern_sotho_qa_multi_qa_mpnet_base_cos_v1_epochs_10
+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.`bert_southern_sotho_qa_multi_qa_mpnet_base_cos_v1_epochs_10` is a English model originally trained by abhijitt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_southern_sotho_qa_multi_qa_mpnet_base_cos_v1_epochs_10_en_5.5.0_3.0_1725874241694.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_southern_sotho_qa_multi_qa_mpnet_base_cos_v1_epochs_10_en_5.5.0_3.0_1725874241694.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_turkish_sentiment_analysis_cased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|tr|
+|Size:|691.2 MB|
+
+## References
+
+https://huggingface.co/Gorengoz/bert-turkish-sentiment-analysis-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-bertimbau_finetuned_en.md b/docs/_posts/ahmedlone127/2024-09-09-bertimbau_finetuned_en.md
new file mode 100644
index 00000000000000..0b5d6cd21d574f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-bertimbau_finetuned_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bertimbau_finetuned BertForSequenceClassification from Horusprg
+author: John Snow Labs
+name: bertimbau_finetuned
+date: 2024-09-09
+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.`bertimbau_finetuned` is a English model originally trained by Horusprg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertimbau_finetuned_en_5.5.0_3.0_1725900009217.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertimbau_finetuned_en_5.5.0_3.0_1725900009217.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertin_base_gaussian_exp_512seqlen|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|es|
+|Size:|232.0 MB|
+
+## References
+
+https://huggingface.co/bertin-project/bertin-base-gaussian-exp-512seqlen
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-bertovosentneg2_en.md b/docs/_posts/ahmedlone127/2024-09-09-bertovosentneg2_en.md
new file mode 100644
index 00000000000000..1d01448c3bcf31
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-bertovosentneg2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bertovosentneg2 RoBertaForSequenceClassification from Tanor
+author: John Snow Labs
+name: bertovosentneg2
+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.`bertovosentneg2` is a English model originally trained by Tanor.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertovosentneg2_en_5.5.0_3.0_1725920082687.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertovosentneg2_en_5.5.0_3.0_1725920082687.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertovosentneg2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|533.0 MB|
+
+## References
+
+https://huggingface.co/Tanor/BERTovoSENTNEG2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-bge_base_financial_matryoshka_dpokhrel_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-bge_base_financial_matryoshka_dpokhrel_pipeline_en.md
new file mode 100644
index 00000000000000..06fae92b9ee784
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-bge_base_financial_matryoshka_dpokhrel_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bge_base_financial_matryoshka_dpokhrel_pipeline pipeline BGEEmbeddings from dpokhrel
+author: John Snow Labs
+name: bge_base_financial_matryoshka_dpokhrel_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 BGEEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bge_base_financial_matryoshka_dpokhrel_pipeline` is a English model originally trained by dpokhrel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bge_base_financial_matryoshka_dpokhrel_pipeline_en_5.5.0_3.0_1725916762185.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bge_base_financial_matryoshka_dpokhrel_pipeline_en_5.5.0_3.0_1725916762185.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bge_base_financial_matryoshka_dpokhrel_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bge_base_financial_matryoshka_dpokhrel_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bge_base_financial_matryoshka_dpokhrel_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|387.2 MB|
+
+## References
+
+https://huggingface.co/dpokhrel/bge-base-financial-matryoshka
+
+## Included Models
+
+- DocumentAssembler
+- BGEEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-bidirection_translate_model_fixed_v0_4_en.md b/docs/_posts/ahmedlone127/2024-09-09-bidirection_translate_model_fixed_v0_4_en.md
new file mode 100644
index 00000000000000..3a1231831617ed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-bidirection_translate_model_fixed_v0_4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bidirection_translate_model_fixed_v0_4 MarianTransformer from gshields
+author: John Snow Labs
+name: bidirection_translate_model_fixed_v0_4
+date: 2024-09-09
+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.`bidirection_translate_model_fixed_v0_4` is a English model originally trained by gshields.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bidirection_translate_model_fixed_v0_4_en_5.5.0_3.0_1725865049277.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bidirection_translate_model_fixed_v0_4_en_5.5.0_3.0_1725865049277.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bidirection_translate_model_fixed_v0_4|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|518.5 MB|
+
+## References
+
+https://huggingface.co/gshields/bidirection_translate_model_fixed_v0.4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-bio_gottbert_base_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-bio_gottbert_base_pipeline_en.md
new file mode 100644
index 00000000000000..ac809ac24a9b80
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-bio_gottbert_base_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bio_gottbert_base_pipeline pipeline RoBertaEmbeddings from SCAI-BIO
+author: John Snow Labs
+name: bio_gottbert_base_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.`bio_gottbert_base_pipeline` is a English model originally trained by SCAI-BIO.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bio_gottbert_base_pipeline_en_5.5.0_3.0_1725910313614.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bio_gottbert_base_pipeline_en_5.5.0_3.0_1725910313614.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bio_gottbert_base_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bio_gottbert_base_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bio_gottbert_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|470.5 MB|
+
+## References
+
+https://huggingface.co/SCAI-BIO/bio-gottbert-base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-biomedroberta_finetuned_valid_testing_0_0002_32_en.md b/docs/_posts/ahmedlone127/2024-09-09-biomedroberta_finetuned_valid_testing_0_0002_32_en.md
new file mode 100644
index 00000000000000..57c167b788bb99
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-biomedroberta_finetuned_valid_testing_0_0002_32_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English biomedroberta_finetuned_valid_testing_0_0002_32 RoBertaForTokenClassification from pabRomero
+author: John Snow Labs
+name: biomedroberta_finetuned_valid_testing_0_0002_32
+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.`biomedroberta_finetuned_valid_testing_0_0002_32` is a English model originally trained by pabRomero.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biomedroberta_finetuned_valid_testing_0_0002_32_en_5.5.0_3.0_1725915192483.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biomedroberta_finetuned_valid_testing_0_0002_32_en_5.5.0_3.0_1725915192483.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biomedroberta_finetuned_valid_testing_0_0002_32|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|466.3 MB|
+
+## References
+
+https://huggingface.co/pabRomero/BioMedRoBERTa-finetuned-valid-testing-0.0002-32
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-biomedroberta_finetuned_valid_testing_0_0002_32_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-biomedroberta_finetuned_valid_testing_0_0002_32_pipeline_en.md
new file mode 100644
index 00000000000000..2d285e0b821188
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-biomedroberta_finetuned_valid_testing_0_0002_32_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English biomedroberta_finetuned_valid_testing_0_0002_32_pipeline pipeline RoBertaForTokenClassification from pabRomero
+author: John Snow Labs
+name: biomedroberta_finetuned_valid_testing_0_0002_32_pipeline
+date: 2024-09-09
+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.`biomedroberta_finetuned_valid_testing_0_0002_32_pipeline` is a English model originally trained by pabRomero.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biomedroberta_finetuned_valid_testing_0_0002_32_pipeline_en_5.5.0_3.0_1725915216139.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biomedroberta_finetuned_valid_testing_0_0002_32_pipeline_en_5.5.0_3.0_1725915216139.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("biomedroberta_finetuned_valid_testing_0_0002_32_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("biomedroberta_finetuned_valid_testing_0_0002_32_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biomedroberta_finetuned_valid_testing_0_0002_32_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.3 MB|
+
+## References
+
+https://huggingface.co/pabRomero/BioMedRoBERTa-finetuned-valid-testing-0.0002-32
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-biomedroberta_full_finetuned_ner_pablo_en.md b/docs/_posts/ahmedlone127/2024-09-09-biomedroberta_full_finetuned_ner_pablo_en.md
new file mode 100644
index 00000000000000..cc6db3f30b3ab7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-biomedroberta_full_finetuned_ner_pablo_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English biomedroberta_full_finetuned_ner_pablo RoBertaForTokenClassification from pabRomero
+author: John Snow Labs
+name: biomedroberta_full_finetuned_ner_pablo
+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.`biomedroberta_full_finetuned_ner_pablo` is a English model originally trained by pabRomero.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biomedroberta_full_finetuned_ner_pablo_en_5.5.0_3.0_1725915458337.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biomedroberta_full_finetuned_ner_pablo_en_5.5.0_3.0_1725915458337.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biomedroberta_full_finetuned_ner_pablo|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|466.3 MB|
+
+## References
+
+https://huggingface.co/pabRomero/BioMedRoBERTa-full-finetuned-ner-pablo
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-bkk_budget_ner_en.md b/docs/_posts/ahmedlone127/2024-09-09-bkk_budget_ner_en.md
new file mode 100644
index 00000000000000..106bfeba5cde33
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-bkk_budget_ner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bkk_budget_ner XlmRoBertaForTokenClassification from napatswift
+author: John Snow Labs
+name: bkk_budget_ner
+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.`bkk_budget_ner` is a English model originally trained by napatswift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bkk_budget_ner_en_5.5.0_3.0_1725918682934.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bkk_budget_ner_en_5.5.0_3.0_1725918682934.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bkk_budget_ner|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|833.9 MB|
+
+## References
+
+https://huggingface.co/napatswift/bkk-budget-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-bkk_budget_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-bkk_budget_ner_pipeline_en.md
new file mode 100644
index 00000000000000..00794a14aaeef1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-bkk_budget_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bkk_budget_ner_pipeline pipeline XlmRoBertaForTokenClassification from napatswift
+author: John Snow Labs
+name: bkk_budget_ner_pipeline
+date: 2024-09-09
+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.`bkk_budget_ner_pipeline` is a English model originally trained by napatswift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bkk_budget_ner_pipeline_en_5.5.0_3.0_1725918763723.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bkk_budget_ner_pipeline_en_5.5.0_3.0_1725918763723.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bkk_budget_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bkk_budget_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bkk_budget_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|833.9 MB|
+
+## References
+
+https://huggingface.co/napatswift/bkk-budget-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-boolq_microsoft_deberta_v3_large_seed_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-boolq_microsoft_deberta_v3_large_seed_1_pipeline_en.md
new file mode 100644
index 00000000000000..e0c9bfb574ac59
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-boolq_microsoft_deberta_v3_large_seed_1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English boolq_microsoft_deberta_v3_large_seed_1_pipeline pipeline DeBertaForSequenceClassification from utahnlp
+author: John Snow Labs
+name: boolq_microsoft_deberta_v3_large_seed_1_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 DeBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`boolq_microsoft_deberta_v3_large_seed_1_pipeline` is a English model originally trained by utahnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/boolq_microsoft_deberta_v3_large_seed_1_pipeline_en_5.5.0_3.0_1725848689789.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/boolq_microsoft_deberta_v3_large_seed_1_pipeline_en_5.5.0_3.0_1725848689789.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("boolq_microsoft_deberta_v3_large_seed_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("boolq_microsoft_deberta_v3_large_seed_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|boolq_microsoft_deberta_v3_large_seed_1_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/boolq_microsoft_deberta-v3-large_seed-1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DeBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-burmese_awesome_eli5_mlm_model_venciso_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-burmese_awesome_eli5_mlm_model_venciso_pipeline_en.md
new file mode 100644
index 00000000000000..becbe08065ca81
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-burmese_awesome_eli5_mlm_model_venciso_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_eli5_mlm_model_venciso_pipeline pipeline RoBertaEmbeddings from venciso
+author: John Snow Labs
+name: burmese_awesome_eli5_mlm_model_venciso_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.`burmese_awesome_eli5_mlm_model_venciso_pipeline` is a English model originally trained by venciso.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_eli5_mlm_model_venciso_pipeline_en_5.5.0_3.0_1725909962001.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_eli5_mlm_model_venciso_pipeline_en_5.5.0_3.0_1725909962001.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_venciso_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_eli5_mlm_model_venciso_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_eli5_mlm_model_venciso_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.5 MB|
+
+## References
+
+https://huggingface.co/venciso/my_awesome_eli5_mlm_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-burmese_awesome_model_v2_en.md b/docs/_posts/ahmedlone127/2024-09-09-burmese_awesome_model_v2_en.md
new file mode 100644
index 00000000000000..7de7f35746e892
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-burmese_awesome_model_v2_en.md
@@ -0,0 +1,98 @@
+---
+layout: model
+title: English burmese_awesome_model_v2 DistilBertForSequenceClassification from rarisenpai
+author: John Snow Labs
+name: burmese_awesome_model_v2
+date: 2024-09-09
+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: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_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_v2` is a English model originally trained by rarisenpai.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_v2_en_5.5.0_3.0_1725918454171.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_v2_en_5.5.0_3.0_1725918454171.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_v2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|811.6 MB|
+
+## References
+
+References
+
+https://huggingface.co/rarisenpai/my-awesome-model_v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-burmese_awesome_model_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-burmese_awesome_model_v2_pipeline_en.md
new file mode 100644
index 00000000000000..1f94ad2eefbbe6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-burmese_awesome_model_v2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_v2_pipeline pipeline XlmRoBertaForTokenClassification from lilyyellow
+author: John Snow Labs
+name: burmese_awesome_model_v2_pipeline
+date: 2024-09-09
+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.`burmese_awesome_model_v2_pipeline` is a English model originally trained by lilyyellow.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_v2_pipeline_en_5.5.0_3.0_1725918574952.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_v2_pipeline_en_5.5.0_3.0_1725918574952.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|811.6 MB|
+
+## References
+
+https://huggingface.co/lilyyellow/my_awesome_model_v2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-burmese_awesome_qa_model_10_en.md b/docs/_posts/ahmedlone127/2024-09-09-burmese_awesome_qa_model_10_en.md
new file mode 100644
index 00000000000000..c27884dbef8d18
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-burmese_awesome_qa_model_10_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_10 DistilBertForQuestionAnswering from limaatulya
+author: John Snow Labs
+name: burmese_awesome_qa_model_10
+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.`burmese_awesome_qa_model_10` is a English model originally trained by limaatulya.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_10_en_5.5.0_3.0_1725877250654.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_10_en_5.5.0_3.0_1725877250654.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_4|
+|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/limaatulya/my_awesome_qa_model_4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-burmese_awesome_qa_model_acezxn_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-burmese_awesome_qa_model_acezxn_pipeline_en.md
new file mode 100644
index 00000000000000..1fb0be22037e6f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-burmese_awesome_qa_model_acezxn_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_acezxn_pipeline pipeline DistilBertForQuestionAnswering from acezxn
+author: John Snow Labs
+name: burmese_awesome_qa_model_acezxn_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.`burmese_awesome_qa_model_acezxn_pipeline` is a English model originally trained by acezxn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_acezxn_pipeline_en_5.5.0_3.0_1725876833134.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_acezxn_pipeline_en_5.5.0_3.0_1725876833134.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_acezxn_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_qa_model_acezxn_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_acezxn_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/acezxn/my_awesome_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-burmese_awesome_qa_model_kasunrajitha_en.md b/docs/_posts/ahmedlone127/2024-09-09-burmese_awesome_qa_model_kasunrajitha_en.md
new file mode 100644
index 00000000000000..c8eb52115a2c2b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-burmese_awesome_qa_model_kasunrajitha_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_kasunrajitha DistilBertForQuestionAnswering from KasunRajitha
+author: John Snow Labs
+name: burmese_awesome_qa_model_kasunrajitha
+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.`burmese_awesome_qa_model_kasunrajitha` is a English model originally trained by KasunRajitha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_kasunrajitha_en_5.5.0_3.0_1725892425846.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_kasunrajitha_en_5.5.0_3.0_1725892425846.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_kasunrajitha|
+|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/KasunRajitha/my_awesome_qa_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-burmese_awesome_token_classification_v2_1_1_en.md b/docs/_posts/ahmedlone127/2024-09-09-burmese_awesome_token_classification_v2_1_1_en.md
new file mode 100644
index 00000000000000..87a45770181637
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-burmese_awesome_token_classification_v2_1_1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_token_classification_v2_1_1 XlmRoBertaForTokenClassification from lilyyellow
+author: John Snow Labs
+name: burmese_awesome_token_classification_v2_1_1
+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.`burmese_awesome_token_classification_v2_1_1` is a English model originally trained by lilyyellow.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_token_classification_v2_1_1_en_5.5.0_3.0_1725895002019.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_token_classification_v2_1_1_en_5.5.0_3.0_1725895002019.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_token_classification_v2_1_1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|830.8 MB|
+
+## References
+
+https://huggingface.co/lilyyellow/my_awesome_token_classification_v2.1.1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-camembert_base_masked_lm_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-camembert_base_masked_lm_pipeline_en.md
new file mode 100644
index 00000000000000..dfe208eade76f0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-camembert_base_masked_lm_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English camembert_base_masked_lm_pipeline pipeline CamemBertEmbeddings from talkingscott
+author: John Snow Labs
+name: camembert_base_masked_lm_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 CamemBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`camembert_base_masked_lm_pipeline` is a English model originally trained by talkingscott.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/camembert_base_masked_lm_pipeline_en_5.5.0_3.0_1725898514491.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/camembert_base_masked_lm_pipeline_en_5.5.0_3.0_1725898514491.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("camembert_base_masked_lm_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("camembert_base_masked_lm_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|camembert_base_masked_lm_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|264.0 MB|
+
+## References
+
+https://huggingface.co/talkingscott/camembert-base-masked-lm
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- CamemBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-cat_sayula_popoluca_iw_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-cat_sayula_popoluca_iw_2_pipeline_en.md
new file mode 100644
index 00000000000000..8d342cab0611bc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-cat_sayula_popoluca_iw_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English cat_sayula_popoluca_iw_2_pipeline pipeline XlmRoBertaForTokenClassification from homersimpson
+author: John Snow Labs
+name: cat_sayula_popoluca_iw_2_pipeline
+date: 2024-09-09
+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_2_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_2_pipeline_en_5.5.0_3.0_1725918325827.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cat_sayula_popoluca_iw_2_pipeline_en_5.5.0_3.0_1725918325827.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_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cat_sayula_popoluca_iw_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cat_sayula_popoluca_iw_2_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-2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-chai_deberta_v3_base_reward_model_en.md b/docs/_posts/ahmedlone127/2024-09-09-chai_deberta_v3_base_reward_model_en.md
new file mode 100644
index 00000000000000..2b1b582151a1fe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-chai_deberta_v3_base_reward_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English chai_deberta_v3_base_reward_model DeBertaForSequenceClassification from decem
+author: John Snow Labs
+name: chai_deberta_v3_base_reward_model
+date: 2024-09-09
+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.`chai_deberta_v3_base_reward_model` is a English model originally trained by decem.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/chai_deberta_v3_base_reward_model_en_5.5.0_3.0_1725859802052.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/chai_deberta_v3_base_reward_model_en_5.5.0_3.0_1725859802052.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|chai_deberta_v3_base_reward_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|634.4 MB|
+
+## References
+
+https://huggingface.co/decem/chai-deberta-v3-base-reward-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-chnsenticorp_xlm_r_en.md b/docs/_posts/ahmedlone127/2024-09-09-chnsenticorp_xlm_r_en.md
new file mode 100644
index 00000000000000..f30f4ad5bdbc51
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-chnsenticorp_xlm_r_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English chnsenticorp_xlm_r XlmRoBertaForSequenceClassification from Cincin-nvp
+author: John Snow Labs
+name: chnsenticorp_xlm_r
+date: 2024-09-09
+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.`chnsenticorp_xlm_r` is a English model originally trained by Cincin-nvp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/chnsenticorp_xlm_r_en_5.5.0_3.0_1725908001685.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/chnsenticorp_xlm_r_en_5.5.0_3.0_1725908001685.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|chnsenticorp_xlm_r|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|850.8 MB|
+
+## References
+
+https://huggingface.co/Cincin-nvp/ChnSentiCorp_XLM-R
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-choubert_16_pipeline_fr.md b/docs/_posts/ahmedlone127/2024-09-09-choubert_16_pipeline_fr.md
new file mode 100644
index 00000000000000..06a1fc0f8ec6f0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-choubert_16_pipeline_fr.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: French choubert_16_pipeline pipeline CamemBertEmbeddings from ChouBERT
+author: John Snow Labs
+name: choubert_16_pipeline
+date: 2024-09-09
+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 CamemBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`choubert_16_pipeline` is a French model originally trained by ChouBERT.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/choubert_16_pipeline_fr_5.5.0_3.0_1725898452923.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/choubert_16_pipeline_fr_5.5.0_3.0_1725898452923.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("choubert_16_pipeline", lang = "fr")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("choubert_16_pipeline", lang = "fr")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|choubert_16_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|fr|
+|Size:|412.8 MB|
+
+## References
+
+https://huggingface.co/ChouBERT/ChouBERT-16
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- CamemBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-cino_small_v2_tncc_document_tsheg_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-cino_small_v2_tncc_document_tsheg_pipeline_en.md
new file mode 100644
index 00000000000000..a90387871dad73
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-cino_small_v2_tncc_document_tsheg_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English cino_small_v2_tncc_document_tsheg_pipeline pipeline XlmRoBertaForSequenceClassification from UTibetNLP
+author: John Snow Labs
+name: cino_small_v2_tncc_document_tsheg_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.`cino_small_v2_tncc_document_tsheg_pipeline` is a English model originally trained by UTibetNLP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cino_small_v2_tncc_document_tsheg_pipeline_en_5.5.0_3.0_1725906283691.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cino_small_v2_tncc_document_tsheg_pipeline_en_5.5.0_3.0_1725906283691.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cino_small_v2_tncc_document_tsheg_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cino_small_v2_tncc_document_tsheg_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cino_small_v2_tncc_document_tsheg_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|552.9 MB|
+
+## References
+
+https://huggingface.co/UTibetNLP/cino-small-v2_tncc-document_tsheg
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-clas_4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-clas_4_pipeline_en.md
new file mode 100644
index 00000000000000..6c12c392aa4659
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-clas_4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English clas_4_pipeline pipeline RoBertaForSequenceClassification from BaronSch
+author: John Snow Labs
+name: clas_4_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.`clas_4_pipeline` is a English model originally trained by BaronSch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clas_4_pipeline_en_5.5.0_3.0_1725904393979.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clas_4_pipeline_en_5.5.0_3.0_1725904393979.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("clas_4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("clas_4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clas_4_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_4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-clinicalbert_en.md b/docs/_posts/ahmedlone127/2024-09-09-clinicalbert_en.md
new file mode 100644
index 00000000000000..153ca47a7eb7fe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-clinicalbert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English clinicalbert DistilBertEmbeddings from DHEIVER
+author: John Snow Labs
+name: clinicalbert
+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.`clinicalbert` is a English model originally trained by DHEIVER.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/clinicalbert_en_5.5.0_3.0_1725921709312.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/clinicalbert_en_5.5.0_3.0_1725921709312.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clinicalbert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[distilbert]|
+|Language:|en|
+|Size:|505.3 MB|
+
+## References
+
+https://huggingface.co/DHEIVER/ClinicalBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-codebert_trbcb_chaft_en.md b/docs/_posts/ahmedlone127/2024-09-09-codebert_trbcb_chaft_en.md
new file mode 100644
index 00000000000000..f4ea6e97fe02a4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-codebert_trbcb_chaft_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English codebert_trbcb_chaft RoBertaForSequenceClassification from buelfhood
+author: John Snow Labs
+name: codebert_trbcb_chaft
+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.`codebert_trbcb_chaft` is a English model originally trained by buelfhood.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/codebert_trbcb_chaft_en_5.5.0_3.0_1725911913659.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/codebert_trbcb_chaft_en_5.5.0_3.0_1725911913659.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|codebert_trbcb_chaft|
+|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/buelfhood/CodeBERT_TrBCB_ChaFT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-codebert_trbcb_chaft_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-codebert_trbcb_chaft_pipeline_en.md
new file mode 100644
index 00000000000000..4792297f3c2119
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-codebert_trbcb_chaft_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English codebert_trbcb_chaft_pipeline pipeline RoBertaForSequenceClassification from buelfhood
+author: John Snow Labs
+name: codebert_trbcb_chaft_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.`codebert_trbcb_chaft_pipeline` is a English model originally trained by buelfhood.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/codebert_trbcb_chaft_pipeline_en_5.5.0_3.0_1725911936085.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/codebert_trbcb_chaft_pipeline_en_5.5.0_3.0_1725911936085.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("codebert_trbcb_chaft_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("codebert_trbcb_chaft_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|codebert_trbcb_chaft_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.4 MB|
+
+## References
+
+https://huggingface.co/buelfhood/CodeBERT_TrBCB_ChaFT
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-cold_fusion_itr22_seed0_en.md b/docs/_posts/ahmedlone127/2024-09-09-cold_fusion_itr22_seed0_en.md
new file mode 100644
index 00000000000000..d4f807ab1150a0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-cold_fusion_itr22_seed0_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English cold_fusion_itr22_seed0 RoBertaForSequenceClassification from ibm
+author: John Snow Labs
+name: cold_fusion_itr22_seed0
+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.`cold_fusion_itr22_seed0` is a English model originally trained by ibm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cold_fusion_itr22_seed0_en_5.5.0_3.0_1725919959337.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cold_fusion_itr22_seed0_en_5.5.0_3.0_1725919959337.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_itr22_seed0|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.0 MB|
+
+## References
+
+https://huggingface.co/ibm/ColD-Fusion-itr22-seed0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-cold_fusion_itr22_seed4_en.md b/docs/_posts/ahmedlone127/2024-09-09-cold_fusion_itr22_seed4_en.md
new file mode 100644
index 00000000000000..abbc5e6add0021
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-cold_fusion_itr22_seed4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English cold_fusion_itr22_seed4 RoBertaForSequenceClassification from ibm
+author: John Snow Labs
+name: cold_fusion_itr22_seed4
+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.`cold_fusion_itr22_seed4` is a English model originally trained by ibm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cold_fusion_itr22_seed4_en_5.5.0_3.0_1725920420211.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cold_fusion_itr22_seed4_en_5.5.0_3.0_1725920420211.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_itr22_seed4|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.0 MB|
+
+## References
+
+https://huggingface.co/ibm/ColD-Fusion-itr22-seed4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-complaints_classifier_arielkanevsky_en.md b/docs/_posts/ahmedlone127/2024-09-09-complaints_classifier_arielkanevsky_en.md
new file mode 100644
index 00000000000000..5dfca173ae3555
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-complaints_classifier_arielkanevsky_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English complaints_classifier_arielkanevsky DistilBertForSequenceClassification from Arielkanevsky
+author: John Snow Labs
+name: complaints_classifier_arielkanevsky
+date: 2024-09-09
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`complaints_classifier_arielkanevsky` is a English model originally trained by Arielkanevsky.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/complaints_classifier_arielkanevsky_en_5.5.0_3.0_1725873264340.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/complaints_classifier_arielkanevsky_en_5.5.0_3.0_1725873264340.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|complaints_classifier_arielkanevsky|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Arielkanevsky/Complaints_Classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-complaints_classifier_arielkanevsky_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-complaints_classifier_arielkanevsky_pipeline_en.md
new file mode 100644
index 00000000000000..4064cff1e6b556
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-complaints_classifier_arielkanevsky_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English complaints_classifier_arielkanevsky_pipeline pipeline DistilBertForSequenceClassification from Arielkanevsky
+author: John Snow Labs
+name: complaints_classifier_arielkanevsky_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 DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`complaints_classifier_arielkanevsky_pipeline` is a English model originally trained by Arielkanevsky.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/complaints_classifier_arielkanevsky_pipeline_en_5.5.0_3.0_1725873276107.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/complaints_classifier_arielkanevsky_pipeline_en_5.5.0_3.0_1725873276107.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("complaints_classifier_arielkanevsky_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("complaints_classifier_arielkanevsky_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|complaints_classifier_arielkanevsky_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Arielkanevsky/Complaints_Classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-covid_tweet_sentiment_analyzer_roberta_en.md b/docs/_posts/ahmedlone127/2024-09-09-covid_tweet_sentiment_analyzer_roberta_en.md
new file mode 100644
index 00000000000000..bba4c51e9b7b2a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-covid_tweet_sentiment_analyzer_roberta_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English covid_tweet_sentiment_analyzer_roberta RoBertaForSequenceClassification from KwameOO
+author: John Snow Labs
+name: covid_tweet_sentiment_analyzer_roberta
+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.`covid_tweet_sentiment_analyzer_roberta` is a English model originally trained by KwameOO.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/covid_tweet_sentiment_analyzer_roberta_en_5.5.0_3.0_1725902820809.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/covid_tweet_sentiment_analyzer_roberta_en_5.5.0_3.0_1725902820809.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|covid_tweet_sentiment_analyzer_roberta|
+|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/KwameOO/covid-tweet-sentiment-analyzer-roberta
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-cross_all_bs320_vanilla_finetuned_webnlg2020_correctness_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-cross_all_bs320_vanilla_finetuned_webnlg2020_correctness_pipeline_en.md
new file mode 100644
index 00000000000000..67a64c34843b39
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-cross_all_bs320_vanilla_finetuned_webnlg2020_correctness_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English cross_all_bs320_vanilla_finetuned_webnlg2020_correctness_pipeline pipeline MPNetEmbeddings from teven
+author: John Snow Labs
+name: cross_all_bs320_vanilla_finetuned_webnlg2020_correctness_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 MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cross_all_bs320_vanilla_finetuned_webnlg2020_correctness_pipeline` is a English model originally trained by teven.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cross_all_bs320_vanilla_finetuned_webnlg2020_correctness_pipeline_en_5.5.0_3.0_1725897000286.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cross_all_bs320_vanilla_finetuned_webnlg2020_correctness_pipeline_en_5.5.0_3.0_1725897000286.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cross_all_bs320_vanilla_finetuned_webnlg2020_correctness_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cross_all_bs320_vanilla_finetuned_webnlg2020_correctness_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cross_all_bs320_vanilla_finetuned_webnlg2020_correctness_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.3 MB|
+
+## References
+
+https://huggingface.co/teven/cross_all_bs320_vanilla_finetuned_WebNLG2020_correctness
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-csce5218_01percent_en.md b/docs/_posts/ahmedlone127/2024-09-09-csce5218_01percent_en.md
new file mode 100644
index 00000000000000..a5daeee2233e46
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-csce5218_01percent_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English csce5218_01percent RoBertaForSequenceClassification from HanzhiZhang
+author: John Snow Labs
+name: csce5218_01percent
+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.`csce5218_01percent` is a English model originally trained by HanzhiZhang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/csce5218_01percent_en_5.5.0_3.0_1725903351258.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/csce5218_01percent_en_5.5.0_3.0_1725903351258.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|csce5218_01percent|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|452.0 MB|
+
+## References
+
+https://huggingface.co/HanzhiZhang/CSCE5218_01percent
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-csce5218_01percent_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-csce5218_01percent_pipeline_en.md
new file mode 100644
index 00000000000000..2f97642a88dc6c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-csce5218_01percent_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English csce5218_01percent_pipeline pipeline RoBertaForSequenceClassification from HanzhiZhang
+author: John Snow Labs
+name: csce5218_01percent_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.`csce5218_01percent_pipeline` is a English model originally trained by HanzhiZhang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/csce5218_01percent_pipeline_en_5.5.0_3.0_1725903379001.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/csce5218_01percent_pipeline_en_5.5.0_3.0_1725903379001.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("csce5218_01percent_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("csce5218_01percent_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|csce5218_01percent_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|452.0 MB|
+
+## References
+
+https://huggingface.co/HanzhiZhang/CSCE5218_01percent
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-custom_dataset_finetuned_en.md b/docs/_posts/ahmedlone127/2024-09-09-custom_dataset_finetuned_en.md
new file mode 100644
index 00000000000000..d6b20b3bd1c2bb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-custom_dataset_finetuned_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English custom_dataset_finetuned DistilBertEmbeddings from Sandy1857
+author: John Snow Labs
+name: custom_dataset_finetuned
+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.`custom_dataset_finetuned` is a English model originally trained by Sandy1857.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/custom_dataset_finetuned_en_5.5.0_3.0_1725921518126.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/custom_dataset_finetuned_en_5.5.0_3.0_1725921518126.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_rnribeiro|
+|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/rnribeiro/DA-distilbert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-danish_distilbert_base_uncased_rnribeiro_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-danish_distilbert_base_uncased_rnribeiro_pipeline_en.md
new file mode 100644
index 00000000000000..ab481638c3a8ca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-danish_distilbert_base_uncased_rnribeiro_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English danish_distilbert_base_uncased_rnribeiro_pipeline pipeline DistilBertEmbeddings from rnribeiro
+author: John Snow Labs
+name: danish_distilbert_base_uncased_rnribeiro_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.`danish_distilbert_base_uncased_rnribeiro_pipeline` is a English model originally trained by rnribeiro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/danish_distilbert_base_uncased_rnribeiro_pipeline_en_5.5.0_3.0_1725909543584.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/danish_distilbert_base_uncased_rnribeiro_pipeline_en_5.5.0_3.0_1725909543584.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("danish_distilbert_base_uncased_rnribeiro_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("danish_distilbert_base_uncased_rnribeiro_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|danish_distilbert_base_uncased_rnribeiro_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/rnribeiro/DA-distilbert-base-uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-dasvny_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-dasvny_pipeline_en.md
new file mode 100644
index 00000000000000..67fdf820e64989
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-dasvny_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dasvny_pipeline pipeline MarianTransformer from Erda
+author: John Snow Labs
+name: dasvny_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.`dasvny_pipeline` is a English model originally trained by Erda.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dasvny_pipeline_en_5.5.0_3.0_1725891865519.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dasvny_pipeline_en_5.5.0_3.0_1725891865519.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dasvny_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dasvny_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dasvny_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|505.2 MB|
+
+## References
+
+https://huggingface.co/Erda/dasvNy
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-deberta_v3_base_4bit_64rank_backbone_en.md b/docs/_posts/ahmedlone127/2024-09-09-deberta_v3_base_4bit_64rank_backbone_en.md
new file mode 100644
index 00000000000000..59e5be7353f23c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-deberta_v3_base_4bit_64rank_backbone_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English deberta_v3_base_4bit_64rank_backbone DeBertaForSequenceClassification from yxli2123
+author: John Snow Labs
+name: deberta_v3_base_4bit_64rank_backbone
+date: 2024-09-09
+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_4bit_64rank_backbone` is a English model originally trained by yxli2123.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deberta_v3_base_4bit_64rank_backbone_en_5.5.0_3.0_1725859573599.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_v3_base_4bit_64rank_backbone_en_5.5.0_3.0_1725859573599.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_4bit_64rank_backbone|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|689.9 MB|
+
+## References
+
+https://huggingface.co/yxli2123/deberta-v3-base-4bit-64rank-backbone
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-deberta_v3_base_finetuned_uf_ner_6x_0type_v1_en.md b/docs/_posts/ahmedlone127/2024-09-09-deberta_v3_base_finetuned_uf_ner_6x_0type_v1_en.md
new file mode 100644
index 00000000000000..2e24152e35514e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-deberta_v3_base_finetuned_uf_ner_6x_0type_v1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English deberta_v3_base_finetuned_uf_ner_6x_0type_v1 DeBertaForSequenceClassification from mariolinml
+author: John Snow Labs
+name: deberta_v3_base_finetuned_uf_ner_6x_0type_v1
+date: 2024-09-09
+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_uf_ner_6x_0type_v1` is a English model originally trained by mariolinml.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deberta_v3_base_finetuned_uf_ner_6x_0type_v1_en_5.5.0_3.0_1725859022033.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_v3_base_finetuned_uf_ner_6x_0type_v1_en_5.5.0_3.0_1725859022033.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_uf_ner_6x_0type_v1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|577.8 MB|
+
+## References
+
+https://huggingface.co/mariolinml/deberta-v3-base-finetuned-uf-ner-6X-0type_v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-deberta_v3_base_glue_sst2_en.md b/docs/_posts/ahmedlone127/2024-09-09-deberta_v3_base_glue_sst2_en.md
new file mode 100644
index 00000000000000..f735013dd3a717
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-deberta_v3_base_glue_sst2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English deberta_v3_base_glue_sst2 DeBertaForSequenceClassification from ficsort
+author: John Snow Labs
+name: deberta_v3_base_glue_sst2
+date: 2024-09-09
+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_glue_sst2` is a English model originally trained by ficsort.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deberta_v3_base_glue_sst2_en_5.5.0_3.0_1725848995900.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_v3_base_glue_sst2_en_5.5.0_3.0_1725848995900.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_glue_sst2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|583.7 MB|
+
+## References
+
+https://huggingface.co/ficsort/deberta-v3-base-glue-sst2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-deberta_v3_base_hate_speech_offensive_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-deberta_v3_base_hate_speech_offensive_pipeline_en.md
new file mode 100644
index 00000000000000..d5eb512fad464d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-deberta_v3_base_hate_speech_offensive_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English deberta_v3_base_hate_speech_offensive_pipeline pipeline DeBertaForSequenceClassification from kietnt0603
+author: John Snow Labs
+name: deberta_v3_base_hate_speech_offensive_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 DeBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deberta_v3_base_hate_speech_offensive_pipeline` is a English model originally trained by kietnt0603.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deberta_v3_base_hate_speech_offensive_pipeline_en_5.5.0_3.0_1725880154075.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_v3_base_hate_speech_offensive_pipeline_en_5.5.0_3.0_1725880154075.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("deberta_v3_base_hate_speech_offensive_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("deberta_v3_base_hate_speech_offensive_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deberta_v3_base_hate_speech_offensive_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|593.3 MB|
+
+## References
+
+https://huggingface.co/kietnt0603/deberta-v3-base-hate-speech-offensive
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DeBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-deberta_v3_large_survey_nepal_bhasa_fact_main_passage_rater_all_gpt4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-deberta_v3_large_survey_nepal_bhasa_fact_main_passage_rater_all_gpt4_pipeline_en.md
new file mode 100644
index 00000000000000..889f5f54328762
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-deberta_v3_large_survey_nepal_bhasa_fact_main_passage_rater_all_gpt4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English deberta_v3_large_survey_nepal_bhasa_fact_main_passage_rater_all_gpt4_pipeline pipeline DeBertaForSequenceClassification from domenicrosati
+author: John Snow Labs
+name: deberta_v3_large_survey_nepal_bhasa_fact_main_passage_rater_all_gpt4_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 DeBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deberta_v3_large_survey_nepal_bhasa_fact_main_passage_rater_all_gpt4_pipeline` is a English model originally trained by domenicrosati.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deberta_v3_large_survey_nepal_bhasa_fact_main_passage_rater_all_gpt4_pipeline_en_5.5.0_3.0_1725850193029.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_v3_large_survey_nepal_bhasa_fact_main_passage_rater_all_gpt4_pipeline_en_5.5.0_3.0_1725850193029.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("deberta_v3_large_survey_nepal_bhasa_fact_main_passage_rater_all_gpt4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("deberta_v3_large_survey_nepal_bhasa_fact_main_passage_rater_all_gpt4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deberta_v3_large_survey_nepal_bhasa_fact_main_passage_rater_all_gpt4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.5 GB|
+
+## References
+
+https://huggingface.co/domenicrosati/deberta-v3-large-survey-new_fact_main_passage-rater-all-gpt4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DeBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-debertaemotionbalanced_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-debertaemotionbalanced_pipeline_en.md
new file mode 100644
index 00000000000000..c1260f5357b09b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-debertaemotionbalanced_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English debertaemotionbalanced_pipeline pipeline DeBertaForSequenceClassification from aliciiavs
+author: John Snow Labs
+name: debertaemotionbalanced_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 DeBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`debertaemotionbalanced_pipeline` is a English model originally trained by aliciiavs.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/debertaemotionbalanced_pipeline_en_5.5.0_3.0_1725859792180.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/debertaemotionbalanced_pipeline_en_5.5.0_3.0_1725859792180.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("debertaemotionbalanced_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("debertaemotionbalanced_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|debertaemotionbalanced_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|433.7 MB|
+
+## References
+
+https://huggingface.co/aliciiavs/debertaemotionbalanced
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DeBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-deneme_model_eng_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-deneme_model_eng_pipeline_en.md
new file mode 100644
index 00000000000000..da9a7e1c0a0231
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-deneme_model_eng_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English deneme_model_eng_pipeline pipeline DistilBertForQuestionAnswering from yegokpinar
+author: John Snow Labs
+name: deneme_model_eng_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.`deneme_model_eng_pipeline` is a English model originally trained by yegokpinar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deneme_model_eng_pipeline_en_5.5.0_3.0_1725876830551.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deneme_model_eng_pipeline_en_5.5.0_3.0_1725876830551.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("deneme_model_eng_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("deneme_model_eng_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deneme_model_eng_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/yegokpinar/deneme_model_eng
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-deprem_mdeberta_binary_pipeline_tr.md b/docs/_posts/ahmedlone127/2024-09-09-deprem_mdeberta_binary_pipeline_tr.md
new file mode 100644
index 00000000000000..a996376f58ac43
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-deprem_mdeberta_binary_pipeline_tr.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Turkish deprem_mdeberta_binary_pipeline pipeline DeBertaForSequenceClassification from ctoraman
+author: John Snow Labs
+name: deprem_mdeberta_binary_pipeline
+date: 2024-09-09
+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 DeBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deprem_mdeberta_binary_pipeline` is a Turkish model originally trained by ctoraman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deprem_mdeberta_binary_pipeline_tr_5.5.0_3.0_1725880609848.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deprem_mdeberta_binary_pipeline_tr_5.5.0_3.0_1725880609848.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("deprem_mdeberta_binary_pipeline", lang = "tr")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("deprem_mdeberta_binary_pipeline", lang = "tr")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deprem_mdeberta_binary_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|tr|
+|Size:|791.2 MB|
+
+## References
+
+https://huggingface.co/ctoraman/deprem-mdeberta-binary
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DeBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-did_the_doctor_say_hello_bert_first128_en.md b/docs/_posts/ahmedlone127/2024-09-09-did_the_doctor_say_hello_bert_first128_en.md
new file mode 100644
index 00000000000000..714f3c8ddc339c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-did_the_doctor_say_hello_bert_first128_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English did_the_doctor_say_hello_bert_first128 BertForSequenceClassification from etadevosyan
+author: John Snow Labs
+name: did_the_doctor_say_hello_bert_first128
+date: 2024-09-09
+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.`did_the_doctor_say_hello_bert_first128` is a English model originally trained by etadevosyan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/did_the_doctor_say_hello_bert_first128_en_5.5.0_3.0_1725900364162.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/did_the_doctor_say_hello_bert_first128_en_5.5.0_3.0_1725900364162.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|did_the_doctor_say_hello_bert_first128|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|666.5 MB|
+
+## References
+
+https://huggingface.co/etadevosyan/did_the_doctor_say_hello_bert_First128
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-did_the_doctor_say_the_nurse_will_contact_the_patient_in_the_chat_room_bert_last512_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-did_the_doctor_say_the_nurse_will_contact_the_patient_in_the_chat_room_bert_last512_pipeline_en.md
new file mode 100644
index 00000000000000..636c39237c5a34
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-did_the_doctor_say_the_nurse_will_contact_the_patient_in_the_chat_room_bert_last512_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English did_the_doctor_say_the_nurse_will_contact_the_patient_in_the_chat_room_bert_last512_pipeline pipeline BertForSequenceClassification from etadevosyan
+author: John Snow Labs
+name: did_the_doctor_say_the_nurse_will_contact_the_patient_in_the_chat_room_bert_last512_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.`did_the_doctor_say_the_nurse_will_contact_the_patient_in_the_chat_room_bert_last512_pipeline` is a English model originally trained by etadevosyan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/did_the_doctor_say_the_nurse_will_contact_the_patient_in_the_chat_room_bert_last512_pipeline_en_5.5.0_3.0_1725900998719.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/did_the_doctor_say_the_nurse_will_contact_the_patient_in_the_chat_room_bert_last512_pipeline_en_5.5.0_3.0_1725900998719.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("did_the_doctor_say_the_nurse_will_contact_the_patient_in_the_chat_room_bert_last512_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("did_the_doctor_say_the_nurse_will_contact_the_patient_in_the_chat_room_bert_last512_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|did_the_doctor_say_the_nurse_will_contact_the_patient_in_the_chat_room_bert_last512_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_say_the_nurse_will_contact_the_patient_in_the_chat_room_bert_Last512
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-dilemmas_roberta_text_disagreement_predictor_en.md b/docs/_posts/ahmedlone127/2024-09-09-dilemmas_roberta_text_disagreement_predictor_en.md
new file mode 100644
index 00000000000000..66599045af482a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-dilemmas_roberta_text_disagreement_predictor_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English dilemmas_roberta_text_disagreement_predictor RoBertaForSequenceClassification from RuyuanWan
+author: John Snow Labs
+name: dilemmas_roberta_text_disagreement_predictor
+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.`dilemmas_roberta_text_disagreement_predictor` is a English model originally trained by RuyuanWan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dilemmas_roberta_text_disagreement_predictor_en_5.5.0_3.0_1725920038592.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dilemmas_roberta_text_disagreement_predictor_en_5.5.0_3.0_1725920038592.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dilemmas_roberta_text_disagreement_predictor|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|431.4 MB|
+
+## References
+
+https://huggingface.co/RuyuanWan/Dilemmas_RoBERTa_Text_Disagreement_Predictor
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-dilemmas_roberta_text_disagreement_predictor_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-dilemmas_roberta_text_disagreement_predictor_pipeline_en.md
new file mode 100644
index 00000000000000..99dfd1edff4909
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-dilemmas_roberta_text_disagreement_predictor_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dilemmas_roberta_text_disagreement_predictor_pipeline pipeline RoBertaForSequenceClassification from RuyuanWan
+author: John Snow Labs
+name: dilemmas_roberta_text_disagreement_predictor_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.`dilemmas_roberta_text_disagreement_predictor_pipeline` is a English model originally trained by RuyuanWan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dilemmas_roberta_text_disagreement_predictor_pipeline_en_5.5.0_3.0_1725920077552.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dilemmas_roberta_text_disagreement_predictor_pipeline_en_5.5.0_3.0_1725920077552.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dilemmas_roberta_text_disagreement_predictor_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dilemmas_roberta_text_disagreement_predictor_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dilemmas_roberta_text_disagreement_predictor_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|431.4 MB|
+
+## References
+
+https://huggingface.co/RuyuanWan/Dilemmas_RoBERTa_Text_Disagreement_Predictor
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-discord_twitter_distilbert_en.md b/docs/_posts/ahmedlone127/2024-09-09-discord_twitter_distilbert_en.md
new file mode 100644
index 00000000000000..fc84c7313afe06
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-discord_twitter_distilbert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English discord_twitter_distilbert DistilBertForSequenceClassification from windshield-viper
+author: John Snow Labs
+name: discord_twitter_distilbert
+date: 2024-09-09
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`discord_twitter_distilbert` is a English model originally trained by windshield-viper.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/discord_twitter_distilbert_en_5.5.0_3.0_1725873504502.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/discord_twitter_distilbert_en_5.5.0_3.0_1725873504502.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_cases|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[distilbert]|
+|Language:|xx|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/MSG2002/distilbert-base-multilingual-cased-finetuned-cases
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_customer_data_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_customer_data_pipeline_en.md
new file mode 100644
index 00000000000000..db1a7ca2261c3a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_customer_data_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_customer_data_pipeline pipeline RoBertaForSequenceClassification from Bharatmalik1999
+author: John Snow Labs
+name: distilbert_base_uncased_customer_data_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.`distilbert_base_uncased_customer_data_pipeline` is a English model originally trained by Bharatmalik1999.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_customer_data_pipeline_en_5.5.0_3.0_1725911791736.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_customer_data_pipeline_en_5.5.0_3.0_1725911791736.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_customer_data_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_customer_data_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_customer_data_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/Bharatmalik1999/distilbert-base-uncased-customer-data
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_distilbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_distilbert_pipeline_en.md
new file mode 100644
index 00000000000000..3eb986ed742a6e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_distilbert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_distilbert_pipeline pipeline DistilBertEmbeddings from distilbert
+author: John Snow Labs
+name: distilbert_base_uncased_distilbert_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_distilbert_pipeline` is a English model originally trained by distilbert.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilbert_pipeline_en_5.5.0_3.0_1725905512145.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilbert_pipeline_en_5.5.0_3.0_1725905512145.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_distilbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_distilbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_distilbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/distilbert/distilbert-base-uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_ag_news_v3_en.md b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_ag_news_v3_en.md
new file mode 100644
index 00000000000000..b0077229fbb304
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_ag_news_v3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ag_news_v3 DistilBertEmbeddings from miggwp
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ag_news_v3
+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.`distilbert_base_uncased_finetuned_ag_news_v3` 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_en_5.5.0_3.0_1725921512605.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_en_5.5.0_3.0_1725921512605.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_ag_news_v3|
+|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/miggwp/distilbert-base-uncased-finetuned-ag-news-v3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_clickbait_detection_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_clickbait_detection_pipeline_en.md
new file mode 100644
index 00000000000000..e5727215a58aab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_clickbait_detection_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clickbait_detection_pipeline pipeline DistilBertForQuestionAnswering from abdulmanaam
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clickbait_detection_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_clickbait_detection_pipeline` is a English model originally trained by abdulmanaam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clickbait_detection_pipeline_en_5.5.0_3.0_1725877114312.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clickbait_detection_pipeline_en_5.5.0_3.0_1725877114312.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_clickbait_detection_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_clickbait_detection_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clickbait_detection_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/abdulmanaam/distilbert-base-uncased-finetuned-clickbait-detection
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_imdb_accelerate_elvijs_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_imdb_accelerate_elvijs_pipeline_en.md
new file mode 100644
index 00000000000000..2b1872c1e76be8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_imdb_accelerate_elvijs_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_accelerate_elvijs_pipeline pipeline DistilBertEmbeddings from Elvijs
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_accelerate_elvijs_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_imdb_accelerate_elvijs_pipeline` is a English model originally trained by Elvijs.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_accelerate_elvijs_pipeline_en_5.5.0_3.0_1725909430492.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_accelerate_elvijs_pipeline_en_5.5.0_3.0_1725909430492.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_accelerate_elvijs_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_imdb_accelerate_elvijs_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_imdb_accelerate_elvijs_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Elvijs/distilbert-base-uncased-finetuned-imdb-accelerate
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_imdb_accelerate_rlenzen_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_imdb_accelerate_rlenzen_pipeline_en.md
new file mode 100644
index 00000000000000..cc52db1f5f93c4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_imdb_accelerate_rlenzen_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_accelerate_rlenzen_pipeline pipeline DistilBertEmbeddings from rlenzen
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_accelerate_rlenzen_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_imdb_accelerate_rlenzen_pipeline` is a English model originally trained by rlenzen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_accelerate_rlenzen_pipeline_en_5.5.0_3.0_1725905511556.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_accelerate_rlenzen_pipeline_en_5.5.0_3.0_1725905511556.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_accelerate_rlenzen_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_imdb_accelerate_rlenzen_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_imdb_accelerate_rlenzen_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/rlenzen/distilbert-base-uncased-finetuned-imdb-accelerate
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_imdb_accelerate_vaibhavtalekar87_en.md b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_imdb_accelerate_vaibhavtalekar87_en.md
new file mode 100644
index 00000000000000..dfce332c0ed3c4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_imdb_accelerate_vaibhavtalekar87_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_accelerate_vaibhavtalekar87 DistilBertEmbeddings from vaibhavtalekar87
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_accelerate_vaibhavtalekar87
+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.`distilbert_base_uncased_finetuned_imdb_accelerate_vaibhavtalekar87` is a English model originally trained by vaibhavtalekar87.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_accelerate_vaibhavtalekar87_en_5.5.0_3.0_1725909045936.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_accelerate_vaibhavtalekar87_en_5.5.0_3.0_1725909045936.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_vaibhavtalekar87|
+|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/vaibhavtalekar87/distilbert-base-uncased-finetuned-imdb-accelerate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_imdb_accelerate_yangwhale_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_imdb_accelerate_yangwhale_pipeline_en.md
new file mode 100644
index 00000000000000..9a9b656c2fb7c0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_imdb_accelerate_yangwhale_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_accelerate_yangwhale_pipeline pipeline DistilBertEmbeddings from yangwhale
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_accelerate_yangwhale_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_imdb_accelerate_yangwhale_pipeline` is a English model originally trained by yangwhale.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_accelerate_yangwhale_pipeline_en_5.5.0_3.0_1725867880298.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_accelerate_yangwhale_pipeline_en_5.5.0_3.0_1725867880298.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_accelerate_yangwhale_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_imdb_accelerate_yangwhale_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_imdb_accelerate_yangwhale_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/yangwhale/distilbert-base-uncased-finetuned-imdb-accelerate
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_imdb_ashaduzzaman_en.md b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_imdb_ashaduzzaman_en.md
new file mode 100644
index 00000000000000..8d5d90ca84b578
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_imdb_ashaduzzaman_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_ashaduzzaman DistilBertEmbeddings from ashaduzzaman
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_ashaduzzaman
+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.`distilbert_base_uncased_finetuned_imdb_ashaduzzaman` is a English model originally trained by ashaduzzaman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_ashaduzzaman_en_5.5.0_3.0_1725905283367.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_ashaduzzaman_en_5.5.0_3.0_1725905283367.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_ashaduzzaman|
+|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/ashaduzzaman/distilbert-base-uncased-finetuned-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_imdb_cheng_cherry_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_imdb_cheng_cherry_pipeline_en.md
new file mode 100644
index 00000000000000..8bff10b99edb8f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_imdb_cheng_cherry_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_cheng_cherry_pipeline pipeline DistilBertEmbeddings from cheng-cherry
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_cheng_cherry_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_imdb_cheng_cherry_pipeline` is a English model originally trained by cheng-cherry.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_cheng_cherry_pipeline_en_5.5.0_3.0_1725905612592.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_cheng_cherry_pipeline_en_5.5.0_3.0_1725905612592.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_cheng_cherry_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_imdb_cheng_cherry_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_imdb_cheng_cherry_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/cheng-cherry/distilbert-base-uncased-finetuned-imdb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_imdb_copypaste_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_imdb_copypaste_pipeline_en.md
new file mode 100644
index 00000000000000..3dc2f815b3dfc9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_imdb_copypaste_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_copypaste_pipeline pipeline DistilBertEmbeddings from CopyPaste
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_copypaste_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_imdb_copypaste_pipeline` is a English model originally trained by CopyPaste.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_copypaste_pipeline_en_5.5.0_3.0_1725905437686.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_copypaste_pipeline_en_5.5.0_3.0_1725905437686.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_copypaste_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_imdb_copypaste_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_imdb_copypaste_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/CopyPaste/distilbert-base-uncased-finetuned-imdb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_imdb_eryuefei_en.md b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_imdb_eryuefei_en.md
new file mode 100644
index 00000000000000..0630a17f9538a5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_imdb_eryuefei_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_eryuefei DistilBertEmbeddings from eryuefei
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_eryuefei
+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.`distilbert_base_uncased_finetuned_imdb_eryuefei` is a English model originally trained by eryuefei.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_eryuefei_en_5.5.0_3.0_1725921722986.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_eryuefei_en_5.5.0_3.0_1725921722986.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_hardikcode|
+|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/hardikcode/distilbert-base-uncased-finetuned-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_imdb_kayabaakihiko_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_imdb_kayabaakihiko_pipeline_en.md
new file mode 100644
index 00000000000000..8e4a2a6b9a97c5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_imdb_kayabaakihiko_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_kayabaakihiko_pipeline pipeline DistilBertEmbeddings from kayabaAkihiko
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_kayabaakihiko_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_imdb_kayabaakihiko_pipeline` is a English model originally trained by kayabaAkihiko.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_kayabaakihiko_pipeline_en_5.5.0_3.0_1725909462988.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_kayabaakihiko_pipeline_en_5.5.0_3.0_1725909462988.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_kayabaakihiko_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_imdb_kayabaakihiko_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_imdb_kayabaakihiko_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/kayabaAkihiko/distilbert-base-uncased-finetuned-imdb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_imdb_kumarme072_en.md b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_imdb_kumarme072_en.md
new file mode 100644
index 00000000000000..07aa8a22f1bd93
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_imdb_kumarme072_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_kumarme072 DistilBertEmbeddings from kumarme072
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_kumarme072
+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.`distilbert_base_uncased_finetuned_imdb_kumarme072` is a English model originally trained by kumarme072.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_kumarme072_en_5.5.0_3.0_1725905283861.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_kumarme072_en_5.5.0_3.0_1725905283861.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_pubmed_torch_trained_tabbas97|
+|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/tabbas97/distilbert-base-uncased-finetuned-pubmed-torch-trained-tabbas97
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_spam_ham_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_spam_ham_pipeline_en.md
new file mode 100644
index 00000000000000..6399ca0dade145
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_spam_ham_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_spam_ham_pipeline pipeline DistilBertEmbeddings from fbi0826
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_spam_ham_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_spam_ham_pipeline` is a English model originally trained by fbi0826.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_spam_ham_pipeline_en_5.5.0_3.0_1725921307921.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_spam_ham_pipeline_en_5.5.0_3.0_1725921307921.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_spam_ham_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_spam_ham_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_spam_ham_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/fbi0826/distilbert-base-uncased-finetuned-spam-ham
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_squad2_ep4_batch16_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_squad2_ep4_batch16_pipeline_en.md
new file mode 100644
index 00000000000000..9636d587ca51c4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_squad2_ep4_batch16_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad2_ep4_batch16_pipeline pipeline DistilBertForQuestionAnswering from wieheistdu
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad2_ep4_batch16_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_squad2_ep4_batch16_pipeline` is a English model originally trained by wieheistdu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad2_ep4_batch16_pipeline_en_5.5.0_3.0_1725892540470.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad2_ep4_batch16_pipeline_en_5.5.0_3.0_1725892540470.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_squad2_ep4_batch16_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad2_ep4_batch16_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad2_ep4_batch16_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/wieheistdu/distilbert-base-uncased-finetuned-squad2-ep4-batch16
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_squad_mtcs34_en.md b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_squad_mtcs34_en.md
new file mode 100644
index 00000000000000..1bce337a194d64
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_squad_mtcs34_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_mtcs34 DistilBertForQuestionAnswering from MTCS34
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_mtcs34
+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.`distilbert_base_uncased_finetuned_squad_mtcs34` is a English model originally trained by MTCS34.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_mtcs34_en_5.5.0_3.0_1725892496253.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_mtcs34_en_5.5.0_3.0_1725892496253.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_ngchuchi|
+|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/ngchuchi/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_squad_shahwali_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_squad_shahwali_pipeline_en.md
new file mode 100644
index 00000000000000..f3019802fca3a4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_squad_shahwali_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_shahwali_pipeline pipeline DistilBertForQuestionAnswering from ShahWali
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_shahwali_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_shahwali_pipeline` is a English model originally trained by ShahWali.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_shahwali_pipeline_en_5.5.0_3.0_1725892727034.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_shahwali_pipeline_en_5.5.0_3.0_1725892727034.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_shahwali_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_shahwali_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_shahwali_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ShahWali/distilbert-base-uncased-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_pytorch_wnut_17_en.md b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_pytorch_wnut_17_en.md
new file mode 100644
index 00000000000000..fff93ddbbe2d86
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_pytorch_wnut_17_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_pytorch_wnut_17 DistilBertForTokenClassification from adarsh2350
+author: John Snow Labs
+name: distilbert_base_uncased_pytorch_wnut_17
+date: 2024-09-09
+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_pytorch_wnut_17` is a English model originally trained by adarsh2350.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_pytorch_wnut_17_en_5.5.0_3.0_1725890064772.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_pytorch_wnut_17_en_5.5.0_3.0_1725890064772.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_pytorch_wnut_17|
+|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/adarsh2350/distilbert-base-uncased-pytorch-wnut-17
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-distilbert_esg_en.md b/docs/_posts/ahmedlone127/2024-09-09-distilbert_esg_en.md
new file mode 100644
index 00000000000000..c5ba56cef63c93
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-distilbert_esg_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_esg DistilBertForSequenceClassification from descartes100
+author: John Snow Labs
+name: distilbert_esg
+date: 2024-09-09
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_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_esg` is a English model originally trained by descartes100.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_esg_en_5.5.0_3.0_1725873070281.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_esg_en_5.5.0_3.0_1725873070281.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_extractive_qa_large_project|
+|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/amara16/distilbert-extractive-qa-large-project
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-distilbert_extractive_qa_large_project_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-distilbert_extractive_qa_large_project_pipeline_en.md
new file mode 100644
index 00000000000000..e27f130e1e857b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-distilbert_extractive_qa_large_project_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_extractive_qa_large_project_pipeline pipeline BertForQuestionAnswering from amara16
+author: John Snow Labs
+name: distilbert_extractive_qa_large_project_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 BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_extractive_qa_large_project_pipeline` is a English model originally trained by amara16.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_extractive_qa_large_project_pipeline_en_5.5.0_3.0_1725886014904.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_extractive_qa_large_project_pipeline_en_5.5.0_3.0_1725886014904.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_extractive_qa_large_project_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_extractive_qa_large_project_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_extractive_qa_large_project_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/amara16/distilbert-extractive-qa-large-project
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-distilbert_finetuned_squadv2_leeduc123_en.md b/docs/_posts/ahmedlone127/2024-09-09-distilbert_finetuned_squadv2_leeduc123_en.md
new file mode 100644
index 00000000000000..391c2adae58949
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-distilbert_finetuned_squadv2_leeduc123_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_finetuned_squadv2_leeduc123 DistilBertForQuestionAnswering from leeduc123
+author: John Snow Labs
+name: distilbert_finetuned_squadv2_leeduc123
+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.`distilbert_finetuned_squadv2_leeduc123` is a English model originally trained by leeduc123.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_squadv2_leeduc123_en_5.5.0_3.0_1725892793736.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_squadv2_leeduc123_en_5.5.0_3.0_1725892793736.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_squadv2_leeduc123|
+|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/leeduc123/distilbert-finetuned-squadv2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-distilbert_static_malware_detection_en.md b/docs/_posts/ahmedlone127/2024-09-09-distilbert_static_malware_detection_en.md
new file mode 100644
index 00000000000000..6eb4c89a9d483f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-distilbert_static_malware_detection_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_static_malware_detection DistilBertForSequenceClassification from sibumi
+author: John Snow Labs
+name: distilbert_static_malware_detection
+date: 2024-09-09
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_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_static_malware_detection` is a English model originally trained by sibumi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_static_malware_detection_en_5.5.0_3.0_1725872961643.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_static_malware_detection_en_5.5.0_3.0_1725872961643.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_static_malware_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/sibumi/DISTILBERT_static_malware-detection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-distilbert_tokenizer_256k_mlm_1m_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-distilbert_tokenizer_256k_mlm_1m_pipeline_en.md
new file mode 100644
index 00000000000000..7e8047429a865d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-distilbert_tokenizer_256k_mlm_1m_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_tokenizer_256k_mlm_1m_pipeline pipeline DistilBertEmbeddings from vocab-transformers
+author: John Snow Labs
+name: distilbert_tokenizer_256k_mlm_1m_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_tokenizer_256k_mlm_1m_pipeline` 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_1m_pipeline_en_5.5.0_3.0_1725909323286.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_tokenizer_256k_mlm_1m_pipeline_en_5.5.0_3.0_1725909323286.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_tokenizer_256k_mlm_1m_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_tokenizer_256k_mlm_1m_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_tokenizer_256k_mlm_1m_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|882.5 MB|
+
+## References
+
+https://huggingface.co/vocab-transformers/distilbert-tokenizer_256k-MLM_1M
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-distillbert_base_spanish_uncased_finetuned_with_llama2_knowledge_distillation_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-distillbert_base_spanish_uncased_finetuned_with_llama2_knowledge_distillation_pipeline_en.md
new file mode 100644
index 00000000000000..1680a839182db3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-distillbert_base_spanish_uncased_finetuned_with_llama2_knowledge_distillation_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distillbert_base_spanish_uncased_finetuned_with_llama2_knowledge_distillation_pipeline pipeline DistilBertEmbeddings from tatakof
+author: John Snow Labs
+name: distillbert_base_spanish_uncased_finetuned_with_llama2_knowledge_distillation_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.`distillbert_base_spanish_uncased_finetuned_with_llama2_knowledge_distillation_pipeline` is a English model originally trained by tatakof.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distillbert_base_spanish_uncased_finetuned_with_llama2_knowledge_distillation_pipeline_en_5.5.0_3.0_1725921337599.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distillbert_base_spanish_uncased_finetuned_with_llama2_knowledge_distillation_pipeline_en_5.5.0_3.0_1725921337599.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distillbert_base_spanish_uncased_finetuned_with_llama2_knowledge_distillation_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distillbert_base_spanish_uncased_finetuned_with_llama2_knowledge_distillation_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distillbert_base_spanish_uncased_finetuned_with_llama2_knowledge_distillation_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|250.2 MB|
+
+## References
+
+https://huggingface.co/tatakof/distillbert-base-spanish-uncased_finetuned_with-Llama2-Knowledge-Distillation
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-distilledbert_hatespeech_pretrain_en.md b/docs/_posts/ahmedlone127/2024-09-09-distilledbert_hatespeech_pretrain_en.md
new file mode 100644
index 00000000000000..6178a78304af0b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-distilledbert_hatespeech_pretrain_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilledbert_hatespeech_pretrain DistilBertEmbeddings from agvidit1
+author: John Snow Labs
+name: distilledbert_hatespeech_pretrain
+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.`distilledbert_hatespeech_pretrain` is a English model originally trained by agvidit1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilledbert_hatespeech_pretrain_en_5.5.0_3.0_1725905704338.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilledbert_hatespeech_pretrain_en_5.5.0_3.0_1725905704338.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilledbert_hatespeech_pretrain|
+|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/agvidit1/DistilledBert_HateSpeech_pretrain
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-distilroberta_base_massive_intent_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-distilroberta_base_massive_intent_pipeline_en.md
new file mode 100644
index 00000000000000..94887598e97632
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-distilroberta_base_massive_intent_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilroberta_base_massive_intent_pipeline pipeline RoBertaForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilroberta_base_massive_intent_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.`distilroberta_base_massive_intent_pipeline` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_massive_intent_pipeline_en_5.5.0_3.0_1725920311664.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_massive_intent_pipeline_en_5.5.0_3.0_1725920311664.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilroberta_base_massive_intent_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilroberta_base_massive_intent_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_massive_intent_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|308.7 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilroberta-base-Massive-intent
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-distilroberta_base_mrpc_glue_oscar_salas4_en.md b/docs/_posts/ahmedlone127/2024-09-09-distilroberta_base_mrpc_glue_oscar_salas4_en.md
new file mode 100644
index 00000000000000..7a8708af507ca5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-distilroberta_base_mrpc_glue_oscar_salas4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilroberta_base_mrpc_glue_oscar_salas4 RoBertaForSequenceClassification from salascorp
+author: John Snow Labs
+name: distilroberta_base_mrpc_glue_oscar_salas4
+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.`distilroberta_base_mrpc_glue_oscar_salas4` is a English model originally trained by salascorp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_mrpc_glue_oscar_salas4_en_5.5.0_3.0_1725911852859.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_mrpc_glue_oscar_salas4_en_5.5.0_3.0_1725911852859.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_mrpc_glue_oscar_salas4|
+|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/salascorp/distilroberta-base-mrpc-glue-oscar-salas4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-distilroberta_base_twitter_16m_aug_oct22_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-distilroberta_base_twitter_16m_aug_oct22_pipeline_en.md
new file mode 100644
index 00000000000000..126ac38aa59727
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-distilroberta_base_twitter_16m_aug_oct22_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilroberta_base_twitter_16m_aug_oct22_pipeline pipeline RoBertaEmbeddings from g8a9
+author: John Snow Labs
+name: distilroberta_base_twitter_16m_aug_oct22_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.`distilroberta_base_twitter_16m_aug_oct22_pipeline` is a English model originally trained by g8a9.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_twitter_16m_aug_oct22_pipeline_en_5.5.0_3.0_1725909890646.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_twitter_16m_aug_oct22_pipeline_en_5.5.0_3.0_1725909890646.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilroberta_base_twitter_16m_aug_oct22_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilroberta_base_twitter_16m_aug_oct22_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_twitter_16m_aug_oct22_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.6 MB|
+
+## References
+
+https://huggingface.co/g8a9/distilroberta-base-twitter-16M_aug-oct22
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-distilroberta_financial_sentiment_model_5000_samples_fine_tune_en.md b/docs/_posts/ahmedlone127/2024-09-09-distilroberta_financial_sentiment_model_5000_samples_fine_tune_en.md
new file mode 100644
index 00000000000000..e959f23d8b16a0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-distilroberta_financial_sentiment_model_5000_samples_fine_tune_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilroberta_financial_sentiment_model_5000_samples_fine_tune RoBertaForSequenceClassification from kevinwlip
+author: John Snow Labs
+name: distilroberta_financial_sentiment_model_5000_samples_fine_tune
+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.`distilroberta_financial_sentiment_model_5000_samples_fine_tune` is a English model originally trained by kevinwlip.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_financial_sentiment_model_5000_samples_fine_tune_en_5.5.0_3.0_1725904877027.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_financial_sentiment_model_5000_samples_fine_tune_en_5.5.0_3.0_1725904877027.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_financial_sentiment_model_5000_samples_fine_tune|
+|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/kevinwlip/distilroberta-financial-sentiment-model-5000-samples-fine-tune
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-distilroberta_financial_sentiment_model_5000_samples_fine_tune_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-distilroberta_financial_sentiment_model_5000_samples_fine_tune_pipeline_en.md
new file mode 100644
index 00000000000000..173dfdd018f12d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-distilroberta_financial_sentiment_model_5000_samples_fine_tune_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilroberta_financial_sentiment_model_5000_samples_fine_tune_pipeline pipeline RoBertaForSequenceClassification from kevinwlip
+author: John Snow Labs
+name: distilroberta_financial_sentiment_model_5000_samples_fine_tune_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.`distilroberta_financial_sentiment_model_5000_samples_fine_tune_pipeline` is a English model originally trained by kevinwlip.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_financial_sentiment_model_5000_samples_fine_tune_pipeline_en_5.5.0_3.0_1725904893707.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_financial_sentiment_model_5000_samples_fine_tune_pipeline_en_5.5.0_3.0_1725904893707.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilroberta_financial_sentiment_model_5000_samples_fine_tune_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilroberta_financial_sentiment_model_5000_samples_fine_tune_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_financial_sentiment_model_5000_samples_fine_tune_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|308.8 MB|
+
+## References
+
+https://huggingface.co/kevinwlip/distilroberta-financial-sentiment-model-5000-samples-fine-tune
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-dl_a3_q3_results_en.md b/docs/_posts/ahmedlone127/2024-09-09-dl_a3_q3_results_en.md
new file mode 100644
index 00000000000000..c2451c2d3724e7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-dl_a3_q3_results_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English dl_a3_q3_results MarianTransformer from nks18
+author: John Snow Labs
+name: dl_a3_q3_results
+date: 2024-09-09
+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.`dl_a3_q3_results` is a English model originally trained by nks18.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dl_a3_q3_results_en_5.5.0_3.0_1725864013470.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dl_a3_q3_results_en_5.5.0_3.0_1725864013470.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dl_a3_q3_results|
+|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/nks18/dl_a3_q3_results
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-dock_1_en.md b/docs/_posts/ahmedlone127/2024-09-09-dock_1_en.md
new file mode 100644
index 00000000000000..ee0548c93e1cab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-dock_1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English dock_1 RoBertaForSequenceClassification from BaronSch
+author: John Snow Labs
+name: dock_1
+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.`dock_1` is a English model originally trained by BaronSch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dock_1_en_5.5.0_3.0_1725903357949.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dock_1_en_5.5.0_3.0_1725903357949.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dock_1|
+|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/Dock_1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-dock_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-dock_1_pipeline_en.md
new file mode 100644
index 00000000000000..671615fc714a37
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-dock_1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dock_1_pipeline pipeline RoBertaForSequenceClassification from BaronSch
+author: John Snow Labs
+name: dock_1_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.`dock_1_pipeline` is a English model originally trained by BaronSch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dock_1_pipeline_en_5.5.0_3.0_1725903387688.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dock_1_pipeline_en_5.5.0_3.0_1725903387688.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dock_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dock_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dock_1_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/Dock_1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-dopamin_java_ownership_en.md b/docs/_posts/ahmedlone127/2024-09-09-dopamin_java_ownership_en.md
new file mode 100644
index 00000000000000..38d514eab8efb2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-dopamin_java_ownership_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English dopamin_java_ownership RoBertaForSequenceClassification from Fsoft-AIC
+author: John Snow Labs
+name: dopamin_java_ownership
+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.`dopamin_java_ownership` is a English model originally trained by Fsoft-AIC.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dopamin_java_ownership_en_5.5.0_3.0_1725911291867.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dopamin_java_ownership_en_5.5.0_3.0_1725911291867.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dummy_joelpastre|
+|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/joelpastre/dummy
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-dummy_joelpastre_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-dummy_joelpastre_pipeline_en.md
new file mode 100644
index 00000000000000..d22d5784f3c64d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-dummy_joelpastre_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dummy_joelpastre_pipeline pipeline CamemBertEmbeddings from joelpastre
+author: John Snow Labs
+name: dummy_joelpastre_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 CamemBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dummy_joelpastre_pipeline` is a English model originally trained by joelpastre.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_joelpastre_pipeline_en_5.5.0_3.0_1725897965540.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_joelpastre_pipeline_en_5.5.0_3.0_1725897965540.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dummy_joelpastre_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dummy_joelpastre_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dummy_joelpastre_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|264.0 MB|
+
+## References
+
+https://huggingface.co/joelpastre/dummy
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- CamemBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-dummy_model2_appletreeleaf_en.md b/docs/_posts/ahmedlone127/2024-09-09-dummy_model2_appletreeleaf_en.md
new file mode 100644
index 00000000000000..b706153de82658
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-dummy_model2_appletreeleaf_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English dummy_model2_appletreeleaf CamemBertEmbeddings from appletreeleaf
+author: John Snow Labs
+name: dummy_model2_appletreeleaf
+date: 2024-09-09
+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_model2_appletreeleaf` is a English model originally trained by appletreeleaf.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_model2_appletreeleaf_en_5.5.0_3.0_1725898156637.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_model2_appletreeleaf_en_5.5.0_3.0_1725898156637.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dummy_model2_appletreeleaf|
+|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/appletreeleaf/dummy-model2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-dummy_model_aiacademy131_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-dummy_model_aiacademy131_pipeline_en.md
new file mode 100644
index 00000000000000..3f4e79f4179b8e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-dummy_model_aiacademy131_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dummy_model_aiacademy131_pipeline pipeline CamemBertEmbeddings from aiacademy131
+author: John Snow Labs
+name: dummy_model_aiacademy131_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 CamemBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dummy_model_aiacademy131_pipeline` is a English model originally trained by aiacademy131.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_model_aiacademy131_pipeline_en_5.5.0_3.0_1725898263044.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_model_aiacademy131_pipeline_en_5.5.0_3.0_1725898263044.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dummy_model_aiacademy131_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dummy_model_aiacademy131_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dummy_model_aiacademy131_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|264.0 MB|
+
+## References
+
+https://huggingface.co/aiacademy131/dummy-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- CamemBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-dummy_model_greyfoss_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-dummy_model_greyfoss_pipeline_en.md
new file mode 100644
index 00000000000000..b454b08974241c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-dummy_model_greyfoss_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dummy_model_greyfoss_pipeline pipeline CamemBertEmbeddings from greyfoss
+author: John Snow Labs
+name: dummy_model_greyfoss_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 CamemBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dummy_model_greyfoss_pipeline` is a English model originally trained by greyfoss.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_model_greyfoss_pipeline_en_5.5.0_3.0_1725898353584.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_model_greyfoss_pipeline_en_5.5.0_3.0_1725898353584.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dummy_model_greyfoss_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dummy_model_greyfoss_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dummy_model_greyfoss_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|264.0 MB|
+
+## References
+
+https://huggingface.co/greyfoss/dummy-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- CamemBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-dummy_model_henrywang_en.md b/docs/_posts/ahmedlone127/2024-09-09-dummy_model_henrywang_en.md
new file mode 100644
index 00000000000000..2c8c1089e3305e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-dummy_model_henrywang_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English dummy_model_henrywang CamemBertEmbeddings from Henrywang
+author: John Snow Labs
+name: dummy_model_henrywang
+date: 2024-09-09
+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_henrywang` is a English model originally trained by Henrywang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_model_henrywang_en_5.5.0_3.0_1725898694573.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_model_henrywang_en_5.5.0_3.0_1725898694573.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_henrywang|
+|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/Henrywang/dummy-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-dummy_model_henrywang_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-dummy_model_henrywang_pipeline_en.md
new file mode 100644
index 00000000000000..09eaa717cf5a58
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-dummy_model_henrywang_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dummy_model_henrywang_pipeline pipeline CamemBertEmbeddings from Henrywang
+author: John Snow Labs
+name: dummy_model_henrywang_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 CamemBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dummy_model_henrywang_pipeline` is a English model originally trained by Henrywang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_model_henrywang_pipeline_en_5.5.0_3.0_1725898770384.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_model_henrywang_pipeline_en_5.5.0_3.0_1725898770384.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dummy_model_henrywang_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dummy_model_henrywang_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dummy_model_henrywang_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|264.0 MB|
+
+## References
+
+https://huggingface.co/Henrywang/dummy-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- CamemBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-dummy_model_ishan1423_en.md b/docs/_posts/ahmedlone127/2024-09-09-dummy_model_ishan1423_en.md
new file mode 100644
index 00000000000000..d527504fb56591
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-dummy_model_ishan1423_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English dummy_model_ishan1423 CamemBertEmbeddings from Ishan1423
+author: John Snow Labs
+name: dummy_model_ishan1423
+date: 2024-09-09
+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_ishan1423` is a English model originally trained by Ishan1423.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_model_ishan1423_en_5.5.0_3.0_1725898399165.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_model_ishan1423_en_5.5.0_3.0_1725898399165.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_jdang|
+|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/jdang/dummy-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-dummy_model_jdang_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-dummy_model_jdang_pipeline_en.md
new file mode 100644
index 00000000000000..f091247060e9f4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-dummy_model_jdang_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dummy_model_jdang_pipeline pipeline CamemBertEmbeddings from jdang
+author: John Snow Labs
+name: dummy_model_jdang_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 CamemBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dummy_model_jdang_pipeline` is a English model originally trained by jdang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_model_jdang_pipeline_en_5.5.0_3.0_1725898670184.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_model_jdang_pipeline_en_5.5.0_3.0_1725898670184.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dummy_model_jdang_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dummy_model_jdang_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dummy_model_jdang_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|264.0 MB|
+
+## References
+
+https://huggingface.co/jdang/dummy-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- CamemBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-dummy_model_krishaaan_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-dummy_model_krishaaan_pipeline_en.md
new file mode 100644
index 00000000000000..3752a1a905b081
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-dummy_model_krishaaan_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dummy_model_krishaaan_pipeline pipeline CamemBertEmbeddings from Krishaaan
+author: John Snow Labs
+name: dummy_model_krishaaan_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 CamemBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dummy_model_krishaaan_pipeline` is a English model originally trained by Krishaaan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_model_krishaaan_pipeline_en_5.5.0_3.0_1725898044568.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_model_krishaaan_pipeline_en_5.5.0_3.0_1725898044568.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dummy_model_krishaaan_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dummy_model_krishaaan_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dummy_model_krishaaan_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|264.0 MB|
+
+## References
+
+https://huggingface.co/Krishaaan/dummy-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- CamemBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-dummy_model_marcsun13_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-dummy_model_marcsun13_pipeline_en.md
new file mode 100644
index 00000000000000..40cad60632bfc6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-dummy_model_marcsun13_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dummy_model_marcsun13_pipeline pipeline CamemBertEmbeddings from marcsun13
+author: John Snow Labs
+name: dummy_model_marcsun13_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 CamemBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dummy_model_marcsun13_pipeline` is a English model originally trained by marcsun13.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_model_marcsun13_pipeline_en_5.5.0_3.0_1725851294704.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_model_marcsun13_pipeline_en_5.5.0_3.0_1725851294704.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dummy_model_marcsun13_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dummy_model_marcsun13_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dummy_model_marcsun13_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|264.0 MB|
+
+## References
+
+https://huggingface.co/marcsun13/dummy-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- CamemBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-dummy_model_maunei_en.md b/docs/_posts/ahmedlone127/2024-09-09-dummy_model_maunei_en.md
new file mode 100644
index 00000000000000..637d5fc69d907f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-dummy_model_maunei_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English dummy_model_maunei CamemBertEmbeddings from maunei
+author: John Snow Labs
+name: dummy_model_maunei
+date: 2024-09-09
+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_maunei` is a English model originally trained by maunei.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_model_maunei_en_5.5.0_3.0_1725897817553.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_model_maunei_en_5.5.0_3.0_1725897817553.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_maunei|
+|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/maunei/dummy-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-dummy_model_mayank1999_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-dummy_model_mayank1999_pipeline_en.md
new file mode 100644
index 00000000000000..7ccf254df7c71d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-dummy_model_mayank1999_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dummy_model_mayank1999_pipeline pipeline CamemBertEmbeddings from Mayank1999
+author: John Snow Labs
+name: dummy_model_mayank1999_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 CamemBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dummy_model_mayank1999_pipeline` is a English model originally trained by Mayank1999.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_model_mayank1999_pipeline_en_5.5.0_3.0_1725898215339.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_model_mayank1999_pipeline_en_5.5.0_3.0_1725898215339.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dummy_model_mayank1999_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dummy_model_mayank1999_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dummy_model_mayank1999_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|264.0 MB|
+
+## References
+
+https://huggingface.co/Mayank1999/dummy-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- CamemBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-dummy_model_modeltokenizerpushtohub_en.md b/docs/_posts/ahmedlone127/2024-09-09-dummy_model_modeltokenizerpushtohub_en.md
new file mode 100644
index 00000000000000..f2ee40c34ab94a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-dummy_model_modeltokenizerpushtohub_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English dummy_model_modeltokenizerpushtohub CamemBertEmbeddings from sara98
+author: John Snow Labs
+name: dummy_model_modeltokenizerpushtohub
+date: 2024-09-09
+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_modeltokenizerpushtohub` is a English model originally trained by sara98.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_model_modeltokenizerpushtohub_en_5.5.0_3.0_1725851667730.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_model_modeltokenizerpushtohub_en_5.5.0_3.0_1725851667730.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_rarabang|
+|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/rarabang/dummy-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-dummy_model_rarabang_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-dummy_model_rarabang_pipeline_en.md
new file mode 100644
index 00000000000000..1f65e9e5917495
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-dummy_model_rarabang_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dummy_model_rarabang_pipeline pipeline CamemBertEmbeddings from rarabang
+author: John Snow Labs
+name: dummy_model_rarabang_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 CamemBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dummy_model_rarabang_pipeline` is a English model originally trained by rarabang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_model_rarabang_pipeline_en_5.5.0_3.0_1725897905083.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_model_rarabang_pipeline_en_5.5.0_3.0_1725897905083.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dummy_model_rarabang_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dummy_model_rarabang_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dummy_model_rarabang_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|264.0 MB|
+
+## References
+
+https://huggingface.co/rarabang/dummy-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- CamemBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-dummy_model_scotssman_en.md b/docs/_posts/ahmedlone127/2024-09-09-dummy_model_scotssman_en.md
new file mode 100644
index 00000000000000..d7e20c301628d6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-dummy_model_scotssman_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English dummy_model_scotssman CamemBertEmbeddings from scotssman
+author: John Snow Labs
+name: dummy_model_scotssman
+date: 2024-09-09
+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_scotssman` is a English model originally trained by scotssman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_model_scotssman_en_5.5.0_3.0_1725898180186.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_model_scotssman_en_5.5.0_3.0_1725898180186.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_scotssman|
+|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/scotssman/dummy-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-dummy_model_seyfullah_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-dummy_model_seyfullah_pipeline_en.md
new file mode 100644
index 00000000000000..444ae4fbabd118
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-dummy_model_seyfullah_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dummy_model_seyfullah_pipeline pipeline CamemBertEmbeddings from seyfullah
+author: John Snow Labs
+name: dummy_model_seyfullah_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 CamemBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dummy_model_seyfullah_pipeline` is a English model originally trained by seyfullah.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_model_seyfullah_pipeline_en_5.5.0_3.0_1725898128177.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_model_seyfullah_pipeline_en_5.5.0_3.0_1725898128177.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dummy_model_seyfullah_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dummy_model_seyfullah_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dummy_model_seyfullah_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|264.0 MB|
+
+## References
+
+https://huggingface.co/seyfullah/dummy-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- CamemBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-dummy_model_terps_en.md b/docs/_posts/ahmedlone127/2024-09-09-dummy_model_terps_en.md
new file mode 100644
index 00000000000000..529786bc507f56
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-dummy_model_terps_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English dummy_model_terps CamemBertEmbeddings from Terps
+author: John Snow Labs
+name: dummy_model_terps
+date: 2024-09-09
+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_terps` is a English model originally trained by Terps.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_model_terps_en_5.5.0_3.0_1725852016190.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_model_terps_en_5.5.0_3.0_1725852016190.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_vincedovy|
+|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/vincedovy/dummy-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-dummy_model_vincedovy_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-dummy_model_vincedovy_pipeline_en.md
new file mode 100644
index 00000000000000..d496c981b0fbdf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-dummy_model_vincedovy_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dummy_model_vincedovy_pipeline pipeline CamemBertEmbeddings from vincedovy
+author: John Snow Labs
+name: dummy_model_vincedovy_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 CamemBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dummy_model_vincedovy_pipeline` is a English model originally trained by vincedovy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_model_vincedovy_pipeline_en_5.5.0_3.0_1725898824510.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_model_vincedovy_pipeline_en_5.5.0_3.0_1725898824510.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dummy_model_vincedovy_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dummy_model_vincedovy_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dummy_model_vincedovy_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|264.0 MB|
+
+## References
+
+https://huggingface.co/vincedovy/dummy-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- CamemBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-dzoqamodel_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-dzoqamodel_pipeline_en.md
new file mode 100644
index 00000000000000..082ace0938fc8f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-dzoqamodel_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English dzoqamodel_pipeline pipeline RoBertaForQuestionAnswering from Norphel
+author: John Snow Labs
+name: dzoqamodel_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.`dzoqamodel_pipeline` is a English model originally trained by Norphel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dzoqamodel_pipeline_en_5.5.0_3.0_1725876693463.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dzoqamodel_pipeline_en_5.5.0_3.0_1725876693463.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dzoqamodel_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dzoqamodel_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dzoqamodel_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|311.2 MB|
+
+## References
+
+https://huggingface.co/Norphel/dzoQAmodel
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-electra_classifier_bertic_tweetsentiment_pipeline_xx.md b/docs/_posts/ahmedlone127/2024-09-09-electra_classifier_bertic_tweetsentiment_pipeline_xx.md
new file mode 100644
index 00000000000000..f23731ca51edf7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-electra_classifier_bertic_tweetsentiment_pipeline_xx.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Multilingual electra_classifier_bertic_tweetsentiment_pipeline pipeline BertForSequenceClassification from EMBEDDIA
+author: John Snow Labs
+name: electra_classifier_bertic_tweetsentiment_pipeline
+date: 2024-09-09
+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 BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`electra_classifier_bertic_tweetsentiment_pipeline` is a Multilingual model originally trained by EMBEDDIA.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/electra_classifier_bertic_tweetsentiment_pipeline_xx_5.5.0_3.0_1725900501079.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/electra_classifier_bertic_tweetsentiment_pipeline_xx_5.5.0_3.0_1725900501079.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("electra_classifier_bertic_tweetsentiment_pipeline", lang = "xx")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("electra_classifier_bertic_tweetsentiment_pipeline", lang = "xx")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|electra_classifier_bertic_tweetsentiment_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|xx|
+|Size:|414.9 MB|
+
+## References
+
+https://huggingface.co/EMBEDDIA/bertic-tweetsentiment
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-electra_classifier_bertic_tweetsentiment_xx.md b/docs/_posts/ahmedlone127/2024-09-09-electra_classifier_bertic_tweetsentiment_xx.md
new file mode 100644
index 00000000000000..e0458890700c4c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-electra_classifier_bertic_tweetsentiment_xx.md
@@ -0,0 +1,104 @@
+---
+layout: model
+title: Multilingual ElectraForSequenceClassification Cased model (from EMBEDDIA)
+author: John Snow Labs
+name: electra_classifier_bertic_tweetsentiment
+date: 2024-09-09
+tags: [bs, hr, cnr, sr, open_source, electra, sequence_classification, classification, xx, onnx]
+task: Text Classification
+language: xx
+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 ElectraForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `bertic-tweetsentiment` is a Multilingual model originally trained by `EMBEDDIA`.
+
+## Predicted Entities
+
+`Neutral`, `Positive`, `Negative`
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/electra_classifier_bertic_tweetsentiment_xx_5.5.0_3.0_1725900480815.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/electra_classifier_bertic_tweetsentiment_xx_5.5.0_3.0_1725900480815.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|electra_classifier_bertic_tweetsentiment|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|xx|
+|Size:|414.9 MB|
+
+## References
+
+References
+
+- https://huggingface.co/EMBEDDIA/bertic-tweetsentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-electra_qa_base_discriminator_finetuned_squad_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-electra_qa_base_discriminator_finetuned_squad_pipeline_en.md
new file mode 100644
index 00000000000000..2f095fb062ad04
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-electra_qa_base_discriminator_finetuned_squad_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English electra_qa_base_discriminator_finetuned_squad_pipeline pipeline BertForQuestionAnswering from usami
+author: John Snow Labs
+name: electra_qa_base_discriminator_finetuned_squad_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 BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`electra_qa_base_discriminator_finetuned_squad_pipeline` is a English model originally trained by usami.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/electra_qa_base_discriminator_finetuned_squad_pipeline_en_5.5.0_3.0_1725886273398.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/electra_qa_base_discriminator_finetuned_squad_pipeline_en_5.5.0_3.0_1725886273398.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("electra_qa_base_discriminator_finetuned_squad_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("electra_qa_base_discriminator_finetuned_squad_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|electra_qa_base_discriminator_finetuned_squad_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|408.0 MB|
+
+## References
+
+https://huggingface.co/usami/electra-base-discriminator-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-elicitsbackgroundknowledge_a6000_0_00005_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-elicitsbackgroundknowledge_a6000_0_00005_pipeline_en.md
new file mode 100644
index 00000000000000..ac762505afa04b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-elicitsbackgroundknowledge_a6000_0_00005_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English elicitsbackgroundknowledge_a6000_0_00005_pipeline pipeline RoBertaForSequenceClassification from rose-e-wang
+author: John Snow Labs
+name: elicitsbackgroundknowledge_a6000_0_00005_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.`elicitsbackgroundknowledge_a6000_0_00005_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_00005_pipeline_en_5.5.0_3.0_1725902354623.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/elicitsbackgroundknowledge_a6000_0_00005_pipeline_en_5.5.0_3.0_1725902354623.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("elicitsbackgroundknowledge_a6000_0_00005_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("elicitsbackgroundknowledge_a6000_0_00005_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|elicitsbackgroundknowledge_a6000_0_00005_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_0.00005
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-ellis_qa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-ellis_qa_pipeline_en.md
new file mode 100644
index 00000000000000..440d91f88bbe8a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-ellis_qa_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English ellis_qa_pipeline pipeline RoBertaForQuestionAnswering from gsl22
+author: John Snow Labs
+name: ellis_qa_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.`ellis_qa_pipeline` is a English model originally trained by gsl22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ellis_qa_pipeline_en_5.5.0_3.0_1725876518106.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ellis_qa_pipeline_en_5.5.0_3.0_1725876518106.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ellis_qa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ellis_qa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ellis_qa_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/Ellis-QA
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-emoji_emoji_random1_seed2_twitter_roberta_base_2022_154m_en.md b/docs/_posts/ahmedlone127/2024-09-09-emoji_emoji_random1_seed2_twitter_roberta_base_2022_154m_en.md
new file mode 100644
index 00000000000000..bf36aead4bdd79
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-emoji_emoji_random1_seed2_twitter_roberta_base_2022_154m_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English emoji_emoji_random1_seed2_twitter_roberta_base_2022_154m RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: emoji_emoji_random1_seed2_twitter_roberta_base_2022_154m
+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.`emoji_emoji_random1_seed2_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_random1_seed2_twitter_roberta_base_2022_154m_en_5.5.0_3.0_1725920706587.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_2022_154m_en_5.5.0_3.0_1725920706587.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_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_random1_seed2-twitter-roberta-base-2022-154m
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-emoji_emoji_random1_seed2_twitter_roberta_base_2022_154m_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-emoji_emoji_random1_seed2_twitter_roberta_base_2022_154m_pipeline_en.md
new file mode 100644
index 00000000000000..97d789c8176fd1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-emoji_emoji_random1_seed2_twitter_roberta_base_2022_154m_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English emoji_emoji_random1_seed2_twitter_roberta_base_2022_154m_pipeline pipeline RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: emoji_emoji_random1_seed2_twitter_roberta_base_2022_154m_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.`emoji_emoji_random1_seed2_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/emoji_emoji_random1_seed2_twitter_roberta_base_2022_154m_pipeline_en_5.5.0_3.0_1725920729486.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_2022_154m_pipeline_en_5.5.0_3.0_1725920729486.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("emoji_emoji_random1_seed2_twitter_roberta_base_2022_154m_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("emoji_emoji_random1_seed2_twitter_roberta_base_2022_154m_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|emoji_emoji_random1_seed2_twitter_roberta_base_2022_154m_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.4 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/emoji-emoji_random1_seed2-twitter-roberta-base-2022-154m
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-emotions_roberta_test_6_en.md b/docs/_posts/ahmedlone127/2024-09-09-emotions_roberta_test_6_en.md
new file mode 100644
index 00000000000000..c270e3eef08e01
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-emotions_roberta_test_6_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English emotions_roberta_test_6 RoBertaForSequenceClassification from Zeyu2000
+author: John Snow Labs
+name: emotions_roberta_test_6
+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.`emotions_roberta_test_6` is a English model originally trained by Zeyu2000.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emotions_roberta_test_6_en_5.5.0_3.0_1725903824026.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emotions_roberta_test_6_en_5.5.0_3.0_1725903824026.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|emotions_roberta_test_6|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|456.0 MB|
+
+## References
+
+https://huggingface.co/Zeyu2000/emotions-roberta-test-6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-empathy_model_en.md b/docs/_posts/ahmedlone127/2024-09-09-empathy_model_en.md
new file mode 100644
index 00000000000000..363faa7f72753e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-empathy_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English empathy_model DistilBertForSequenceClassification from vtiyyal1
+author: John Snow Labs
+name: empathy_model
+date: 2024-09-09
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`empathy_model` is a English model originally trained by vtiyyal1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/empathy_model_en_5.5.0_3.0_1725872957494.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/empathy_model_en_5.5.0_3.0_1725872957494.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|empathy_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/vtiyyal1/empathy_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-empathy_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-empathy_model_pipeline_en.md
new file mode 100644
index 00000000000000..b4c42342e4310e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-empathy_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English empathy_model_pipeline pipeline DistilBertForSequenceClassification from vtiyyal1
+author: John Snow Labs
+name: empathy_model_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 DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`empathy_model_pipeline` is a English model originally trained by vtiyyal1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/empathy_model_pipeline_en_5.5.0_3.0_1725872969456.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/empathy_model_pipeline_en_5.5.0_3.0_1725872969456.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("empathy_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("empathy_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|empathy_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/vtiyyal1/empathy_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-en2zh40_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-en2zh40_pipeline_en.md
new file mode 100644
index 00000000000000..d64eae879428f3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-en2zh40_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English en2zh40_pipeline pipeline MarianTransformer from Carlosino
+author: John Snow Labs
+name: en2zh40_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.`en2zh40_pipeline` is a English model originally trained by Carlosino.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/en2zh40_pipeline_en_5.5.0_3.0_1725913264591.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/en2zh40_pipeline_en_5.5.0_3.0_1725913264591.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("en2zh40_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("en2zh40_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|en2zh40_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|541.5 MB|
+
+## References
+
+https://huggingface.co/Carlosino/en2zh40
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-english_tonga_tonga_islands_romanian_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-english_tonga_tonga_islands_romanian_pipeline_en.md
new file mode 100644
index 00000000000000..8220d98e8aaa64
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-english_tonga_tonga_islands_romanian_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English english_tonga_tonga_islands_romanian_pipeline pipeline MarianTransformer from sanjeev498
+author: John Snow Labs
+name: english_tonga_tonga_islands_romanian_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.`english_tonga_tonga_islands_romanian_pipeline` is a English model originally trained by sanjeev498.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/english_tonga_tonga_islands_romanian_pipeline_en_5.5.0_3.0_1725864340724.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/english_tonga_tonga_islands_romanian_pipeline_en_5.5.0_3.0_1725864340724.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("english_tonga_tonga_islands_romanian_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("english_tonga_tonga_islands_romanian_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|english_tonga_tonga_islands_romanian_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|509.1 MB|
+
+## References
+
+https://huggingface.co/sanjeev498/en-to-romanian
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-eriberta_base_en.md b/docs/_posts/ahmedlone127/2024-09-09-eriberta_base_en.md
new file mode 100644
index 00000000000000..9890917268ec76
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-eriberta_base_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English eriberta_base RoBertaEmbeddings from HiTZ
+author: John Snow Labs
+name: eriberta_base
+date: 2024-09-09
+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.`eriberta_base` is a English model originally trained by HiTZ.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/eriberta_base_en_5.5.0_3.0_1725910370944.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/eriberta_base_en_5.5.0_3.0_1725910370944.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|eriberta_base|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|505.5 MB|
+
+## References
+
+https://huggingface.co/HiTZ/EriBERTa-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-eriberta_base_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-eriberta_base_pipeline_en.md
new file mode 100644
index 00000000000000..4b95bde499992f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-eriberta_base_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English eriberta_base_pipeline pipeline RoBertaEmbeddings from HiTZ
+author: John Snow Labs
+name: eriberta_base_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.`eriberta_base_pipeline` is a English model originally trained by HiTZ.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/eriberta_base_pipeline_en_5.5.0_3.0_1725910396509.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/eriberta_base_pipeline_en_5.5.0_3.0_1725910396509.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("eriberta_base_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("eriberta_base_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|eriberta_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|505.6 MB|
+
+## References
+
+https://huggingface.co/HiTZ/EriBERTa-base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-essai1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-essai1_pipeline_en.md
new file mode 100644
index 00000000000000..780efee32f1bc2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-essai1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English essai1_pipeline pipeline MarianTransformer from Maya
+author: John Snow Labs
+name: essai1_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.`essai1_pipeline` is a English model originally trained by Maya.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/essai1_pipeline_en_5.5.0_3.0_1725891378399.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/essai1_pipeline_en_5.5.0_3.0_1725891378399.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("essai1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("essai1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|essai1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|509.1 MB|
+
+## References
+
+https://huggingface.co/Maya/essai1
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-eth_setfit_payment_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-eth_setfit_payment_model_pipeline_en.md
new file mode 100644
index 00000000000000..1099c3a164bbc3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-eth_setfit_payment_model_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English eth_setfit_payment_model_pipeline pipeline MPNetEmbeddings from kanixwang
+author: John Snow Labs
+name: eth_setfit_payment_model_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 MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`eth_setfit_payment_model_pipeline` is a English model originally trained by kanixwang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/eth_setfit_payment_model_pipeline_en_5.5.0_3.0_1725896574476.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/eth_setfit_payment_model_pipeline_en_5.5.0_3.0_1725896574476.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("eth_setfit_payment_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("eth_setfit_payment_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|eth_setfit_payment_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.0 MB|
+
+## References
+
+https://huggingface.co/kanixwang/eth-setfit-payment-model
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-f_80_20_en.md b/docs/_posts/ahmedlone127/2024-09-09-f_80_20_en.md
new file mode 100644
index 00000000000000..5c2a81a2a712df
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-f_80_20_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English f_80_20 RoBertaForSequenceClassification from tegaranggana
+author: John Snow Labs
+name: f_80_20
+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.`f_80_20` is a English model originally trained by tegaranggana.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/f_80_20_en_5.5.0_3.0_1725903145284.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/f_80_20_en_5.5.0_3.0_1725903145284.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|f_80_20|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|467.7 MB|
+
+## References
+
+https://huggingface.co/tegaranggana/f_80_20
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-f_roberta_classifier2_en.md b/docs/_posts/ahmedlone127/2024-09-09-f_roberta_classifier2_en.md
new file mode 100644
index 00000000000000..363b68cf6c2b73
--- /dev/null
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@@ -0,0 +1,94 @@
+---
+layout: model
+title: English f_roberta_classifier2 RoBertaForSequenceClassification from James-kc-min
+author: John Snow Labs
+name: f_roberta_classifier2
+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.`f_roberta_classifier2` is a English model originally trained by James-kc-min.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/f_roberta_classifier2_en_5.5.0_3.0_1725911304904.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/f_roberta_classifier2_en_5.5.0_3.0_1725911304904.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fill_mask_ondiet|
+|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/Ondiet/fill_mask
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-fill_mask_ondiet_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-fill_mask_ondiet_pipeline_en.md
new file mode 100644
index 00000000000000..97b12a3aac5c53
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-fill_mask_ondiet_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English fill_mask_ondiet_pipeline pipeline DistilBertEmbeddings from Ondiet
+author: John Snow Labs
+name: fill_mask_ondiet_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.`fill_mask_ondiet_pipeline` is a English model originally trained by Ondiet.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fill_mask_ondiet_pipeline_en_5.5.0_3.0_1725905400415.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fill_mask_ondiet_pipeline_en_5.5.0_3.0_1725905400415.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fill_mask_ondiet_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fill_mask_ondiet_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fill_mask_ondiet_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Ondiet/fill_mask
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-fin_mpnet_base_en.md b/docs/_posts/ahmedlone127/2024-09-09-fin_mpnet_base_en.md
new file mode 100644
index 00000000000000..f180bc425770b2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-fin_mpnet_base_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English fin_mpnet_base MPNetEmbeddings from mukaj
+author: John Snow Labs
+name: fin_mpnet_base
+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.`fin_mpnet_base` is a English model originally trained by mukaj.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fin_mpnet_base_en_5.5.0_3.0_1725897357688.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fin_mpnet_base_en_5.5.0_3.0_1725897357688.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fin_mpnet_base|
+|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/mukaj/fin-mpnet-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-final_model3_en.md b/docs/_posts/ahmedlone127/2024-09-09-final_model3_en.md
new file mode 100644
index 00000000000000..1ca87776e27abb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-final_model3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English final_model3 MarianTransformer from sanghyo
+author: John Snow Labs
+name: final_model3
+date: 2024-09-09
+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.`final_model3` is a English model originally trained by sanghyo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/final_model3_en_5.5.0_3.0_1725863141694.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/final_model3_en_5.5.0_3.0_1725863141694.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|final_model3|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/sanghyo/Final_model3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-financial_sentiment_analysis_sigma_en.md b/docs/_posts/ahmedlone127/2024-09-09-financial_sentiment_analysis_sigma_en.md
new file mode 100644
index 00000000000000..5ec34750c69b7a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-financial_sentiment_analysis_sigma_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English financial_sentiment_analysis_sigma BertForSequenceClassification from Sigma
+author: John Snow Labs
+name: financial_sentiment_analysis_sigma
+date: 2024-09-09
+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.`financial_sentiment_analysis_sigma` is a English model originally trained by Sigma.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/financial_sentiment_analysis_sigma_en_5.5.0_3.0_1725900276456.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/financial_sentiment_analysis_sigma_en_5.5.0_3.0_1725900276456.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_analysis_sigma|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|411.6 MB|
+
+## References
+
+https://huggingface.co/Sigma/financial-sentiment-analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-fine_tune_embeddnew_sih_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-fine_tune_embeddnew_sih_pipeline_en.md
new file mode 100644
index 00000000000000..9f184ee8c4b998
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-fine_tune_embeddnew_sih_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English fine_tune_embeddnew_sih_pipeline pipeline BertForSequenceClassification from shashaaa
+author: John Snow Labs
+name: fine_tune_embeddnew_sih_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.`fine_tune_embeddnew_sih_pipeline` is a English model originally trained by shashaaa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tune_embeddnew_sih_pipeline_en_5.5.0_3.0_1725900024757.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tune_embeddnew_sih_pipeline_en_5.5.0_3.0_1725900024757.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fine_tune_embeddnew_sih_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fine_tune_embeddnew_sih_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tune_embeddnew_sih_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/shashaaa/fine_tune_embeddnew_SIH
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-fine_tuned_distilbert_vcolella_en.md b/docs/_posts/ahmedlone127/2024-09-09-fine_tuned_distilbert_vcolella_en.md
new file mode 100644
index 00000000000000..6ea1159d8d32ef
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-fine_tuned_distilbert_vcolella_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English fine_tuned_distilbert_vcolella DistilBertForSequenceClassification from vcolella
+author: John Snow Labs
+name: fine_tuned_distilbert_vcolella
+date: 2024-09-09
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_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_vcolella` is a English model originally trained by vcolella.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_distilbert_vcolella_en_5.5.0_3.0_1725873352377.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_distilbert_vcolella_en_5.5.0_3.0_1725873352377.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_qabert_small|
+|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/jayvinay/fine-tuned-qabert-small
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-fine_tuned_qabert_small_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-fine_tuned_qabert_small_pipeline_en.md
new file mode 100644
index 00000000000000..604048f7584ceb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-fine_tuned_qabert_small_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English fine_tuned_qabert_small_pipeline pipeline DistilBertForQuestionAnswering from jayvinay
+author: John Snow Labs
+name: fine_tuned_qabert_small_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.`fine_tuned_qabert_small_pipeline` is a English model originally trained by jayvinay.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_qabert_small_pipeline_en_5.5.0_3.0_1725892637018.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_qabert_small_pipeline_en_5.5.0_3.0_1725892637018.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fine_tuned_qabert_small_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fine_tuned_qabert_small_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tuned_qabert_small_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/jayvinay/fine-tuned-qabert-small
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-finetuned_roberta_base_sentiment_classifier_en.md b/docs/_posts/ahmedlone127/2024-09-09-finetuned_roberta_base_sentiment_classifier_en.md
new file mode 100644
index 00000000000000..8d928863c3dcc1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-finetuned_roberta_base_sentiment_classifier_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuned_roberta_base_sentiment_classifier RoBertaForSequenceClassification from gArthur98
+author: John Snow Labs
+name: finetuned_roberta_base_sentiment_classifier
+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.`finetuned_roberta_base_sentiment_classifier` is a English model originally trained by gArthur98.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_roberta_base_sentiment_classifier_en_5.5.0_3.0_1725912307774.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_roberta_base_sentiment_classifier_en_5.5.0_3.0_1725912307774.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_base_sentiment_classifier|
+|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/gArthur98/Finetuned-Roberta-Base-Sentiment-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-finetuned_sentiment_bert_base_model_en.md b/docs/_posts/ahmedlone127/2024-09-09-finetuned_sentiment_bert_base_model_en.md
new file mode 100644
index 00000000000000..4c679be32a19a9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-finetuned_sentiment_bert_base_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuned_sentiment_bert_base_model BertForSequenceClassification from pursuitofds
+author: John Snow Labs
+name: finetuned_sentiment_bert_base_model
+date: 2024-09-09
+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.`finetuned_sentiment_bert_base_model` is a English model originally trained by pursuitofds.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_sentiment_bert_base_model_en_5.5.0_3.0_1725900147767.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_sentiment_bert_base_model_en_5.5.0_3.0_1725900147767.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_bert_base_model|
+|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/pursuitofds/finetuned_sentiment_bert_base_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-finetuned_sentiment_classfication_roberta_model_preencez_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-finetuned_sentiment_classfication_roberta_model_preencez_pipeline_en.md
new file mode 100644
index 00000000000000..c8ea8fc00436c6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-finetuned_sentiment_classfication_roberta_model_preencez_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuned_sentiment_classfication_roberta_model_preencez_pipeline pipeline RoBertaForSequenceClassification from Preencez
+author: John Snow Labs
+name: finetuned_sentiment_classfication_roberta_model_preencez_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.`finetuned_sentiment_classfication_roberta_model_preencez_pipeline` is a English model originally trained by Preencez.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_sentiment_classfication_roberta_model_preencez_pipeline_en_5.5.0_3.0_1725904043293.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_sentiment_classfication_roberta_model_preencez_pipeline_en_5.5.0_3.0_1725904043293.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuned_sentiment_classfication_roberta_model_preencez_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuned_sentiment_classfication_roberta_model_preencez_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_sentiment_classfication_roberta_model_preencez_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|444.0 MB|
+
+## References
+
+https://huggingface.co/Preencez/finetuned-Sentiment-classfication-ROBERTA-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-finetunes_bert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-finetunes_bert_pipeline_en.md
new file mode 100644
index 00000000000000..27f0c42eab0725
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-finetunes_bert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetunes_bert_pipeline pipeline DistilBertEmbeddings from Mobina2023
+author: John Snow Labs
+name: finetunes_bert_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.`finetunes_bert_pipeline` is a English model originally trained by Mobina2023.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetunes_bert_pipeline_en_5.5.0_3.0_1725921635431.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetunes_bert_pipeline_en_5.5.0_3.0_1725921635431.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetunes_bert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetunes_bert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetunes_bert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Mobina2023/finetunes-bert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-finetuning_emotion_model_5_v2_en.md b/docs/_posts/ahmedlone127/2024-09-09-finetuning_emotion_model_5_v2_en.md
new file mode 100644
index 00000000000000..4677fe795d2bae
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-finetuning_emotion_model_5_v2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_emotion_model_5_v2 DistilBertForSequenceClassification from Almancy
+author: John Snow Labs
+name: finetuning_emotion_model_5_v2
+date: 2024-09-09
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_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_emotion_model_5_v2` is a English model originally trained by Almancy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_emotion_model_5_v2_en_5.5.0_3.0_1725873262157.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_emotion_model_5_v2_en_5.5.0_3.0_1725873262157.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_emotion_model_5_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/Almancy/finetuning-emotion-model-5-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-finetuning_emotion_model_5_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-finetuning_emotion_model_5_v2_pipeline_en.md
new file mode 100644
index 00000000000000..2abffc441cc112
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-finetuning_emotion_model_5_v2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_emotion_model_5_v2_pipeline pipeline DistilBertForSequenceClassification from Almancy
+author: John Snow Labs
+name: finetuning_emotion_model_5_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 DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_emotion_model_5_v2_pipeline` is a English model originally trained by Almancy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_emotion_model_5_v2_pipeline_en_5.5.0_3.0_1725873274360.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_emotion_model_5_v2_pipeline_en_5.5.0_3.0_1725873274360.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_emotion_model_5_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_emotion_model_5_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_emotion_model_5_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/Almancy/finetuning-emotion-model-5-v2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-floor_model_en.md b/docs/_posts/ahmedlone127/2024-09-09-floor_model_en.md
new file mode 100644
index 00000000000000..0570903562ec55
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-floor_model_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English floor_model DistilBertForQuestionAnswering from rugvedabodke
+author: John Snow Labs
+name: floor_model
+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.`floor_model` is a English model originally trained by rugvedabodke.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/floor_model_en_5.5.0_3.0_1725868928303.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/floor_model_en_5.5.0_3.0_1725868928303.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|from_classifier_v2|
+|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/from-classifier-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-from_classifier_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-from_classifier_v2_pipeline_en.md
new file mode 100644
index 00000000000000..e60a688618bdf4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-from_classifier_v2_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English from_classifier_v2_pipeline pipeline MPNetEmbeddings from futuredatascience
+author: John Snow Labs
+name: from_classifier_v2_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 MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`from_classifier_v2_pipeline` is a English model originally trained by futuredatascience.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/from_classifier_v2_pipeline_en_5.5.0_3.0_1725897093045.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/from_classifier_v2_pipeline_en_5.5.0_3.0_1725897093045.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("from_classifier_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("from_classifier_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|from_classifier_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/futuredatascience/from-classifier-v2
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-gefs_language_detector_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-gefs_language_detector_pipeline_en.md
new file mode 100644
index 00000000000000..da6f5246e13d37
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-gefs_language_detector_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English gefs_language_detector_pipeline pipeline XlmRoBertaForSequenceClassification from ImranzamanML
+author: John Snow Labs
+name: gefs_language_detector_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.`gefs_language_detector_pipeline` is a English model originally trained by ImranzamanML.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gefs_language_detector_pipeline_en_5.5.0_3.0_1725871778900.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gefs_language_detector_pipeline_en_5.5.0_3.0_1725871778900.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("gefs_language_detector_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("gefs_language_detector_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gefs_language_detector_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|805.2 MB|
+
+## References
+
+https://huggingface.co/ImranzamanML/GEFS-language-detector
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-geo_multi_qa_mpnet_base_dot_v1_en.md b/docs/_posts/ahmedlone127/2024-09-09-geo_multi_qa_mpnet_base_dot_v1_en.md
new file mode 100644
index 00000000000000..9edde05ff0f3ae
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-geo_multi_qa_mpnet_base_dot_v1_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English geo_multi_qa_mpnet_base_dot_v1 MPNetEmbeddings from chbwang
+author: John Snow Labs
+name: geo_multi_qa_mpnet_base_dot_v1
+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.`geo_multi_qa_mpnet_base_dot_v1` is a English model originally trained by chbwang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/geo_multi_qa_mpnet_base_dot_v1_en_5.5.0_3.0_1725896764639.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/geo_multi_qa_mpnet_base_dot_v1_en_5.5.0_3.0_1725896764639.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|geo_multi_qa_mpnet_base_dot_v1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[mpnet]|
+|Language:|en|
+|Size:|407.0 MB|
+
+## References
+
+https://huggingface.co/chbwang/geo_multi-qa-mpnet-base-dot-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-granite_guardian_hap_125m_en.md b/docs/_posts/ahmedlone127/2024-09-09-granite_guardian_hap_125m_en.md
new file mode 100644
index 00000000000000..3696a7197deef7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-granite_guardian_hap_125m_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English granite_guardian_hap_125m RoBertaForSequenceClassification from ibm-granite
+author: John Snow Labs
+name: granite_guardian_hap_125m
+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.`granite_guardian_hap_125m` is a English model originally trained by ibm-granite.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/granite_guardian_hap_125m_en_5.5.0_3.0_1725904829489.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/granite_guardian_hap_125m_en_5.5.0_3.0_1725904829489.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hello_english_hindi_translate_1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|523.1 MB|
+
+## References
+
+https://huggingface.co/Sarthak7777/hello_en_hi_translate-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-helsinki_danish_swedish_v10_en.md b/docs/_posts/ahmedlone127/2024-09-09-helsinki_danish_swedish_v10_en.md
new file mode 100644
index 00000000000000..1e7318439cec53
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-helsinki_danish_swedish_v10_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English helsinki_danish_swedish_v10 MarianTransformer from Danieljacobsen
+author: John Snow Labs
+name: helsinki_danish_swedish_v10
+date: 2024-09-09
+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_danish_swedish_v10` is a English model originally trained by Danieljacobsen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/helsinki_danish_swedish_v10_en_5.5.0_3.0_1725891199813.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/helsinki_danish_swedish_v10_en_5.5.0_3.0_1725891199813.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|helsinki_danish_swedish_v10|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|496.9 MB|
+
+## References
+
+https://huggingface.co/Danieljacobsen/Helsinki-DA-SV-v10
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-helsinki_english_multiple_languages_test_01_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-helsinki_english_multiple_languages_test_01_pipeline_en.md
new file mode 100644
index 00000000000000..7cb1ce5be75126
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-helsinki_english_multiple_languages_test_01_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English helsinki_english_multiple_languages_test_01_pipeline pipeline MarianTransformer from Shularp
+author: John Snow Labs
+name: helsinki_english_multiple_languages_test_01_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_english_multiple_languages_test_01_pipeline` is a English model originally trained by Shularp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/helsinki_english_multiple_languages_test_01_pipeline_en_5.5.0_3.0_1725913683170.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/helsinki_english_multiple_languages_test_01_pipeline_en_5.5.0_3.0_1725913683170.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("helsinki_english_multiple_languages_test_01_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("helsinki_english_multiple_languages_test_01_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|helsinki_english_multiple_languages_test_01_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|530.9 MB|
+
+## References
+
+https://huggingface.co/Shularp/Helsinki_en-mul_test_01
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-homework_1_en.md b/docs/_posts/ahmedlone127/2024-09-09-homework_1_en.md
new file mode 100644
index 00000000000000..75cef68b2e3382
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-homework_1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English homework_1 DistilBertForSequenceClassification from Stonekraken
+author: John Snow Labs
+name: homework_1
+date: 2024-09-09
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`homework_1` is a English model originally trained by Stonekraken.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/homework_1_en_5.5.0_3.0_1725873136310.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/homework_1_en_5.5.0_3.0_1725873136310.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|homework_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/Stonekraken/homework_1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-homework_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-homework_1_pipeline_en.md
new file mode 100644
index 00000000000000..78d17bd36a9740
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-homework_1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English homework_1_pipeline pipeline DistilBertForSequenceClassification from Stonekraken
+author: John Snow Labs
+name: homework_1_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 DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`homework_1_pipeline` is a English model originally trained by Stonekraken.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/homework_1_pipeline_en_5.5.0_3.0_1725873148783.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/homework_1_pipeline_en_5.5.0_3.0_1725873148783.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("homework_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("homework_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|homework_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/Stonekraken/homework_1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-hoogberta_pipeline_th.md b/docs/_posts/ahmedlone127/2024-09-09-hoogberta_pipeline_th.md
new file mode 100644
index 00000000000000..51f4c149a05ff8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-hoogberta_pipeline_th.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Thai hoogberta_pipeline pipeline RoBertaEmbeddings from lst-nectec
+author: John Snow Labs
+name: hoogberta_pipeline
+date: 2024-09-09
+tags: [th, open_source, pipeline, onnx]
+task: Embeddings
+language: th
+edition: Spark 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.`hoogberta_pipeline` is a Thai model originally trained by lst-nectec.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hoogberta_pipeline_th_5.5.0_3.0_1725910250907.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hoogberta_pipeline_th_5.5.0_3.0_1725910250907.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hoogberta_pipeline", lang = "th")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hoogberta_pipeline", lang = "th")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hoogberta_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|th|
+|Size:|342.2 MB|
+
+## References
+
+https://huggingface.co/lst-nectec/HoogBERTa
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-hoogberta_th.md b/docs/_posts/ahmedlone127/2024-09-09-hoogberta_th.md
new file mode 100644
index 00000000000000..e2383c508b96eb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-hoogberta_th.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Thai hoogberta RoBertaEmbeddings from lst-nectec
+author: John Snow Labs
+name: hoogberta
+date: 2024-09-09
+tags: [th, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: th
+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.`hoogberta` is a Thai model originally trained by lst-nectec.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hoogberta_th_5.5.0_3.0_1725910152627.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hoogberta_th_5.5.0_3.0_1725910152627.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hoogberta|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|th|
+|Size:|342.2 MB|
+
+## References
+
+https://huggingface.co/lst-nectec/HoogBERTa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-hospitality_intents_pretrained_en.md b/docs/_posts/ahmedlone127/2024-09-09-hospitality_intents_pretrained_en.md
new file mode 100644
index 00000000000000..9bf1d67e468da2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-hospitality_intents_pretrained_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English hospitality_intents_pretrained RoBertaForSequenceClassification from WellaBanda
+author: John Snow Labs
+name: hospitality_intents_pretrained
+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.`hospitality_intents_pretrained` is a English model originally trained by WellaBanda.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hospitality_intents_pretrained_en_5.5.0_3.0_1725912358940.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hospitality_intents_pretrained_en_5.5.0_3.0_1725912358940.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hospitality_intents_pretrained|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|430.1 MB|
+
+## References
+
+https://huggingface.co/WellaBanda/hospitality_intents_pretrained
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-inde_0_en.md b/docs/_posts/ahmedlone127/2024-09-09-inde_0_en.md
new file mode 100644
index 00000000000000..94a8d0fb6569a1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-inde_0_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English inde_0 RoBertaForSequenceClassification from BaronSch
+author: John Snow Labs
+name: inde_0
+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.`inde_0` is a English model originally trained by BaronSch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/inde_0_en_5.5.0_3.0_1725902518692.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/inde_0_en_5.5.0_3.0_1725902518692.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|inde_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/Inde_0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-inde_0_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-inde_0_pipeline_en.md
new file mode 100644
index 00000000000000..5a818529604912
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-inde_0_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English inde_0_pipeline pipeline RoBertaForSequenceClassification from BaronSch
+author: John Snow Labs
+name: inde_0_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.`inde_0_pipeline` is a English model originally trained by BaronSch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/inde_0_pipeline_en_5.5.0_3.0_1725902540430.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/inde_0_pipeline_en_5.5.0_3.0_1725902540430.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("inde_0_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("inde_0_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|inde_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/Inde_0
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-ipc_level1_h_en.md b/docs/_posts/ahmedlone127/2024-09-09-ipc_level1_h_en.md
new file mode 100644
index 00000000000000..1a73676bc65bd9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-ipc_level1_h_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ipc_level1_h RoBertaForSequenceClassification from intelcomp
+author: John Snow Labs
+name: ipc_level1_h
+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.`ipc_level1_h` is a English model originally trained by intelcomp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ipc_level1_h_en_5.5.0_3.0_1725903915919.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ipc_level1_h_en_5.5.0_3.0_1725903915919.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ipc_level1_h|
+|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/intelcomp/ipc_level1_H
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-ipc_level1_h_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-ipc_level1_h_pipeline_en.md
new file mode 100644
index 00000000000000..2564e7eba8b049
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-ipc_level1_h_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ipc_level1_h_pipeline pipeline RoBertaForSequenceClassification from intelcomp
+author: John Snow Labs
+name: ipc_level1_h_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.`ipc_level1_h_pipeline` is a English model originally trained by intelcomp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ipc_level1_h_pipeline_en_5.5.0_3.0_1725903993959.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ipc_level1_h_pipeline_en_5.5.0_3.0_1725903993959.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ipc_level1_h_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ipc_level1_h_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ipc_level1_h_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/intelcomp/ipc_level1_H
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-iwslt17_marian_big_ctx4_cwd2_english_french_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-iwslt17_marian_big_ctx4_cwd2_english_french_pipeline_en.md
new file mode 100644
index 00000000000000..6f214dd89c44b6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-iwslt17_marian_big_ctx4_cwd2_english_french_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English iwslt17_marian_big_ctx4_cwd2_english_french_pipeline pipeline MarianTransformer from context-mt
+author: John Snow Labs
+name: iwslt17_marian_big_ctx4_cwd2_english_french_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.`iwslt17_marian_big_ctx4_cwd2_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_big_ctx4_cwd2_english_french_pipeline_en_5.5.0_3.0_1725914517141.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/iwslt17_marian_big_ctx4_cwd2_english_french_pipeline_en_5.5.0_3.0_1725914517141.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("iwslt17_marian_big_ctx4_cwd2_english_french_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("iwslt17_marian_big_ctx4_cwd2_english_french_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|iwslt17_marian_big_ctx4_cwd2_english_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/context-mt/iwslt17-marian-big-ctx4-cwd2-en-fr
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-iwslt17_marian_small_ctx4_cwd2_english_french_en.md b/docs/_posts/ahmedlone127/2024-09-09-iwslt17_marian_small_ctx4_cwd2_english_french_en.md
new file mode 100644
index 00000000000000..4ad5f7c7d924ea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-iwslt17_marian_small_ctx4_cwd2_english_french_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English iwslt17_marian_small_ctx4_cwd2_english_french MarianTransformer from context-mt
+author: John Snow Labs
+name: iwslt17_marian_small_ctx4_cwd2_english_french
+date: 2024-09-09
+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_ctx4_cwd2_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_ctx4_cwd2_english_french_en_5.5.0_3.0_1725863233649.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/iwslt17_marian_small_ctx4_cwd2_english_french_en_5.5.0_3.0_1725863233649.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_ctx4_cwd2_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-ctx4-cwd2-en-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-jerteh_355_sr.md b/docs/_posts/ahmedlone127/2024-09-09-jerteh_355_sr.md
new file mode 100644
index 00000000000000..35caa11b3ce10c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-jerteh_355_sr.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Serbian jerteh_355 RoBertaEmbeddings from jerteh
+author: John Snow Labs
+name: jerteh_355
+date: 2024-09-09
+tags: [sr, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: sr
+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.`jerteh_355` is a Serbian model originally trained by jerteh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/jerteh_355_sr_5.5.0_3.0_1725910760359.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/jerteh_355_sr_5.5.0_3.0_1725910760359.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|jerteh_355|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|sr|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/jerteh/Jerteh-355
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-koelectra_small_v2_distilled_korquad_384_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-koelectra_small_v2_distilled_korquad_384_pipeline_en.md
new file mode 100644
index 00000000000000..910fe892fd99f8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-koelectra_small_v2_distilled_korquad_384_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English koelectra_small_v2_distilled_korquad_384_pipeline pipeline RoBertaForQuestionAnswering from Mary8
+author: John Snow Labs
+name: koelectra_small_v2_distilled_korquad_384_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.`koelectra_small_v2_distilled_korquad_384_pipeline` is a English model originally trained by Mary8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/koelectra_small_v2_distilled_korquad_384_pipeline_en_5.5.0_3.0_1725867372956.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/koelectra_small_v2_distilled_korquad_384_pipeline_en_5.5.0_3.0_1725867372956.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("koelectra_small_v2_distilled_korquad_384_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("koelectra_small_v2_distilled_korquad_384_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|koelectra_small_v2_distilled_korquad_384_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.9 MB|
+
+## References
+
+https://huggingface.co/Mary8/koelectra-small-v2-distilled-korquad-384
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-lab1_random_reshphil_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-lab1_random_reshphil_pipeline_en.md
new file mode 100644
index 00000000000000..1961079b665b16
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-lab1_random_reshphil_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English lab1_random_reshphil_pipeline pipeline MarianTransformer from Reshphil
+author: John Snow Labs
+name: lab1_random_reshphil_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.`lab1_random_reshphil_pipeline` is a English model originally trained by Reshphil.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lab1_random_reshphil_pipeline_en_5.5.0_3.0_1725914245273.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lab1_random_reshphil_pipeline_en_5.5.0_3.0_1725914245273.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("lab1_random_reshphil_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("lab1_random_reshphil_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lab1_random_reshphil_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|508.7 MB|
+
+## References
+
+https://huggingface.co/Reshphil/lab1_random
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-lab2_adam_reshphil_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-lab2_adam_reshphil_pipeline_en.md
new file mode 100644
index 00000000000000..2964cd69b65c63
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-lab2_adam_reshphil_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English lab2_adam_reshphil_pipeline pipeline MarianTransformer from Reshphil
+author: John Snow Labs
+name: lab2_adam_reshphil_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.`lab2_adam_reshphil_pipeline` is a English model originally trained by Reshphil.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lab2_adam_reshphil_pipeline_en_5.5.0_3.0_1725840856796.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lab2_adam_reshphil_pipeline_en_5.5.0_3.0_1725840856796.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("lab2_adam_reshphil_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("lab2_adam_reshphil_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lab2_adam_reshphil_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|508.9 MB|
+
+## References
+
+https://huggingface.co/Reshphil/lab2_adam
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-latin_english_case_en.md b/docs/_posts/ahmedlone127/2024-09-09-latin_english_case_en.md
new file mode 100644
index 00000000000000..57c13af625817c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-latin_english_case_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English latin_english_case MarianTransformer from grosenthal
+author: John Snow Labs
+name: latin_english_case
+date: 2024-09-09
+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.`latin_english_case` is a English model originally trained by grosenthal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/latin_english_case_en_5.5.0_3.0_1725865577682.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/latin_english_case_en_5.5.0_3.0_1725865577682.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|latin_english_case|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|542.1 MB|
+
+## References
+
+https://huggingface.co/grosenthal/la_en_case
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-lenu_cz_en.md b/docs/_posts/ahmedlone127/2024-09-09-lenu_cz_en.md
new file mode 100644
index 00000000000000..f528ecced2b836
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-lenu_cz_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English lenu_cz BertForSequenceClassification from Sociovestix
+author: John Snow Labs
+name: lenu_cz
+date: 2024-09-09
+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.`lenu_cz` is a English model originally trained by Sociovestix.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lenu_cz_en_5.5.0_3.0_1725900185834.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lenu_cz_en_5.5.0_3.0_1725900185834.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lenu_cz|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|627.9 MB|
+
+## References
+
+https://huggingface.co/Sociovestix/lenu_CZ
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-lenu_cz_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-lenu_cz_pipeline_en.md
new file mode 100644
index 00000000000000..458c68c7d70665
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-lenu_cz_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English lenu_cz_pipeline pipeline BertForSequenceClassification from Sociovestix
+author: John Snow Labs
+name: lenu_cz_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.`lenu_cz_pipeline` is a English model originally trained by Sociovestix.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lenu_cz_pipeline_en_5.5.0_3.0_1725900219115.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lenu_cz_pipeline_en_5.5.0_3.0_1725900219115.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("lenu_cz_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("lenu_cz_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lenu_cz_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|627.9 MB|
+
+## References
+
+https://huggingface.co/Sociovestix/lenu_CZ
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-literary_bge_base_en.md b/docs/_posts/ahmedlone127/2024-09-09-literary_bge_base_en.md
new file mode 100644
index 00000000000000..c7a9dcd9e84a71
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-literary_bge_base_en.md
@@ -0,0 +1,87 @@
+---
+layout: model
+title: English literary_bge_base BGEEmbeddings from crazyjeannot
+author: John Snow Labs
+name: literary_bge_base
+date: 2024-09-09
+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.`literary_bge_base` is a English model originally trained by crazyjeannot.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/literary_bge_base_en_5.5.0_3.0_1725916780919.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/literary_bge_base_en_5.5.0_3.0_1725916780919.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|literary_bge_base|
+|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/crazyjeannot/literary_bge_base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-literary_bge_base_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-literary_bge_base_pipeline_en.md
new file mode 100644
index 00000000000000..0d5018efab1276
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-literary_bge_base_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English literary_bge_base_pipeline pipeline BGEEmbeddings from crazyjeannot
+author: John Snow Labs
+name: literary_bge_base_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 BGEEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`literary_bge_base_pipeline` is a English model originally trained by crazyjeannot.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/literary_bge_base_pipeline_en_5.5.0_3.0_1725916846160.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/literary_bge_base_pipeline_en_5.5.0_3.0_1725916846160.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("literary_bge_base_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("literary_bge_base_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|literary_bge_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/crazyjeannot/literary_bge_base
+
+## Included Models
+
+- DocumentAssembler
+- BGEEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-malicious_url_detection_en.md b/docs/_posts/ahmedlone127/2024-09-09-malicious_url_detection_en.md
new file mode 100644
index 00000000000000..92c20b6913c1fb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-malicious_url_detection_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English malicious_url_detection DistilBertForSequenceClassification from kmack
+author: John Snow Labs
+name: malicious_url_detection
+date: 2024-09-09
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`malicious_url_detection` is a English model originally trained by kmack.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/malicious_url_detection_en_5.5.0_3.0_1725873051291.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/malicious_url_detection_en_5.5.0_3.0_1725873051291.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|malicious_url_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/kmack/malicious-url-detection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-malicious_url_detection_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-malicious_url_detection_pipeline_en.md
new file mode 100644
index 00000000000000..7c9d8152d5169f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-malicious_url_detection_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English malicious_url_detection_pipeline pipeline DistilBertForSequenceClassification from kmack
+author: John Snow Labs
+name: malicious_url_detection_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 DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`malicious_url_detection_pipeline` is a English model originally trained by kmack.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/malicious_url_detection_pipeline_en_5.5.0_3.0_1725873065829.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/malicious_url_detection_pipeline_en_5.5.0_3.0_1725873065829.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("malicious_url_detection_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("malicious_url_detection_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|malicious_url_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/kmack/malicious-url-detection
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-maltese_coref_english_hebrew_modern_gender_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-maltese_coref_english_hebrew_modern_gender_pipeline_en.md
new file mode 100644
index 00000000000000..d39ceecfb19eef
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-maltese_coref_english_hebrew_modern_gender_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English maltese_coref_english_hebrew_modern_gender_pipeline pipeline MarianTransformer from nlphuji
+author: John Snow Labs
+name: maltese_coref_english_hebrew_modern_gender_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.`maltese_coref_english_hebrew_modern_gender_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_gender_pipeline_en_5.5.0_3.0_1725863270772.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/maltese_coref_english_hebrew_modern_gender_pipeline_en_5.5.0_3.0_1725863270772.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_gender_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("maltese_coref_english_hebrew_modern_gender_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|maltese_coref_english_hebrew_modern_gender_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|545.8 MB|
+
+## References
+
+https://huggingface.co/nlphuji/mt_coref_en_he_gender
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-marian_finetuned_english_austronesian_languages_en.md b/docs/_posts/ahmedlone127/2024-09-09-marian_finetuned_english_austronesian_languages_en.md
new file mode 100644
index 00000000000000..7726b026946ec2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-marian_finetuned_english_austronesian_languages_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English marian_finetuned_english_austronesian_languages MarianTransformer from raphaelmerx
+author: John Snow Labs
+name: marian_finetuned_english_austronesian_languages
+date: 2024-09-09
+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_english_austronesian_languages` is a English model originally trained by raphaelmerx.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_english_austronesian_languages_en_5.5.0_3.0_1725913470824.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marian_finetuned_english_austronesian_languages_en_5.5.0_3.0_1725913470824.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_english_austronesian_languages|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|510.8 MB|
+
+## References
+
+https://huggingface.co/raphaelmerx/marian-finetuned-en-map
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-marian_finetuned_english_austronesian_languages_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-marian_finetuned_english_austronesian_languages_pipeline_en.md
new file mode 100644
index 00000000000000..4c324ed74e5947
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-marian_finetuned_english_austronesian_languages_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English marian_finetuned_english_austronesian_languages_pipeline pipeline MarianTransformer from raphaelmerx
+author: John Snow Labs
+name: marian_finetuned_english_austronesian_languages_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.`marian_finetuned_english_austronesian_languages_pipeline` is a English model originally trained by raphaelmerx.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_english_austronesian_languages_pipeline_en_5.5.0_3.0_1725913501584.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marian_finetuned_english_austronesian_languages_pipeline_en_5.5.0_3.0_1725913501584.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("marian_finetuned_english_austronesian_languages_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marian_finetuned_english_austronesian_languages_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marian_finetuned_english_austronesian_languages_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|511.3 MB|
+
+## References
+
+https://huggingface.co/raphaelmerx/marian-finetuned-en-map
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_chenxingphh_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_chenxingphh_pipeline_en.md
new file mode 100644
index 00000000000000..206b1d726a6bc4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_chenxingphh_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_chenxingphh_pipeline pipeline MarianTransformer from chenxingphh
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_chenxingphh_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.`marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_chenxingphh_pipeline` is a English model originally trained by chenxingphh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_chenxingphh_pipeline_en_5.5.0_3.0_1725913501419.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_chenxingphh_pipeline_en_5.5.0_3.0_1725913501419.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_chenxingphh_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_chenxingphh_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_chenxingphh_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|508.8 MB|
+
+## References
+
+https://huggingface.co/chenxingphh/marian-finetuned-kde4-en-to-fr-accelerate
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_coreyabs_db_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_coreyabs_db_pipeline_en.md
new file mode 100644
index 00000000000000..8ea3180c0c218f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_coreyabs_db_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_coreyabs_db_pipeline pipeline MarianTransformer from coreyabs-db
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_coreyabs_db_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.`marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_coreyabs_db_pipeline` is a English model originally trained by coreyabs-db.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_coreyabs_db_pipeline_en_5.5.0_3.0_1725864733585.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_coreyabs_db_pipeline_en_5.5.0_3.0_1725864733585.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_coreyabs_db_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_coreyabs_db_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_coreyabs_db_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|508.7 MB|
+
+## References
+
+https://huggingface.co/coreyabs-db/marian-finetuned-kde4-en-to-fr-accelerate
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_smilemikan_en.md b/docs/_posts/ahmedlone127/2024-09-09-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_smilemikan_en.md
new file mode 100644
index 00000000000000..f90835427aabb3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_smilemikan_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_smilemikan MarianTransformer from smilemikan
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_smilemikan
+date: 2024-09-09
+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_smilemikan` is a English model originally trained by smilemikan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_smilemikan_en_5.5.0_3.0_1725914115665.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_smilemikan_en_5.5.0_3.0_1725914115665.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_smilemikan|
+|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/smilemikan/marian-finetuned-kde4-en-to-fr-accelerate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-marian_finetuned_kde4_english_tonga_tonga_islands_french_bubblejoe_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-marian_finetuned_kde4_english_tonga_tonga_islands_french_bubblejoe_pipeline_en.md
new file mode 100644
index 00000000000000..0d44a3d5f54674
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-marian_finetuned_kde4_english_tonga_tonga_islands_french_bubblejoe_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_bubblejoe_pipeline pipeline MarianTransformer from BubbleJoe
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_bubblejoe_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.`marian_finetuned_kde4_english_tonga_tonga_islands_french_bubblejoe_pipeline` is a English model originally trained by BubbleJoe.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_bubblejoe_pipeline_en_5.5.0_3.0_1725863154485.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_bubblejoe_pipeline_en_5.5.0_3.0_1725863154485.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_bubblejoe_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_french_bubblejoe_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marian_finetuned_kde4_english_tonga_tonga_islands_french_bubblejoe_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|508.7 MB|
+
+## References
+
+https://huggingface.co/BubbleJoe/marian-finetuned-kde4-en-to-fr
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-marian_finetuned_kde4_english_tonga_tonga_islands_french_desmondbai_en.md b/docs/_posts/ahmedlone127/2024-09-09-marian_finetuned_kde4_english_tonga_tonga_islands_french_desmondbai_en.md
new file mode 100644
index 00000000000000..a06b5eeb916e97
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-marian_finetuned_kde4_english_tonga_tonga_islands_french_desmondbai_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_desmondbai MarianTransformer from desmondbai
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_desmondbai
+date: 2024-09-09
+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_desmondbai` is a English model originally trained by desmondbai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_desmondbai_en_5.5.0_3.0_1725914055428.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_desmondbai_en_5.5.0_3.0_1725914055428.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_desmondbai|
+|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/desmondbai/marian-finetuned-kde4-en-to-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-marian_finetuned_kde4_english_tonga_tonga_islands_french_fah_d_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-marian_finetuned_kde4_english_tonga_tonga_islands_french_fah_d_pipeline_en.md
new file mode 100644
index 00000000000000..dc45bf08e8d6f0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-marian_finetuned_kde4_english_tonga_tonga_islands_french_fah_d_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_fah_d_pipeline pipeline MarianTransformer from Fah-d
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_fah_d_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.`marian_finetuned_kde4_english_tonga_tonga_islands_french_fah_d_pipeline` is a English model originally trained by Fah-d.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_fah_d_pipeline_en_5.5.0_3.0_1725913466183.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_fah_d_pipeline_en_5.5.0_3.0_1725913466183.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_fah_d_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_french_fah_d_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marian_finetuned_kde4_english_tonga_tonga_islands_french_fah_d_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|508.6 MB|
+
+## References
+
+https://huggingface.co/Fah-d/marian-finetuned-kde4-en-to-fr
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-marian_finetuned_kde4_english_tonga_tonga_islands_french_ss1020_en.md b/docs/_posts/ahmedlone127/2024-09-09-marian_finetuned_kde4_english_tonga_tonga_islands_french_ss1020_en.md
new file mode 100644
index 00000000000000..3685a01714c3e3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-marian_finetuned_kde4_english_tonga_tonga_islands_french_ss1020_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_ss1020 MarianTransformer from SS1020
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_ss1020
+date: 2024-09-09
+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_ss1020` is a English model originally trained by SS1020.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_ss1020_en_5.5.0_3.0_1725913396873.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_ss1020_en_5.5.0_3.0_1725913396873.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_ss1020|
+|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/SS1020/marian-finetuned-kde4-en-to-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-marianmix_english_10_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-marianmix_english_10_pipeline_en.md
new file mode 100644
index 00000000000000..e90a207e268cd4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-marianmix_english_10_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English marianmix_english_10_pipeline pipeline MarianTransformer from eldor-97
+author: John Snow Labs
+name: marianmix_english_10_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.`marianmix_english_10_pipeline` is a English model originally trained by eldor-97.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marianmix_english_10_pipeline_en_5.5.0_3.0_1725914637700.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marianmix_english_10_pipeline_en_5.5.0_3.0_1725914637700.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("marianmix_english_10_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marianmix_english_10_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marianmix_english_10_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|724.2 MB|
+
+## References
+
+https://huggingface.co/eldor-97/MarianMix_en-10
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-math_pretrained_roberta_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-math_pretrained_roberta_pipeline_en.md
new file mode 100644
index 00000000000000..00a12701a34891
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-math_pretrained_roberta_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English math_pretrained_roberta_pipeline pipeline RoBertaEmbeddings from AnReu
+author: John Snow Labs
+name: math_pretrained_roberta_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.`math_pretrained_roberta_pipeline` is a English model originally trained by AnReu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/math_pretrained_roberta_pipeline_en_5.5.0_3.0_1725860944056.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/math_pretrained_roberta_pipeline_en_5.5.0_3.0_1725860944056.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("math_pretrained_roberta_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("math_pretrained_roberta_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|math_pretrained_roberta_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|467.6 MB|
+
+## References
+
+https://huggingface.co/AnReu/math_pretrained_roberta
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-mdebertav3_subjectivity_arabic_ar.md b/docs/_posts/ahmedlone127/2024-09-09-mdebertav3_subjectivity_arabic_ar.md
new file mode 100644
index 00000000000000..2e8b0bcd39ed71
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-mdebertav3_subjectivity_arabic_ar.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Arabic mdebertav3_subjectivity_arabic DeBertaForSequenceClassification from GroNLP
+author: John Snow Labs
+name: mdebertav3_subjectivity_arabic
+date: 2024-09-09
+tags: [ar, open_source, onnx, sequence_classification, deberta]
+task: Text Classification
+language: ar
+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.`mdebertav3_subjectivity_arabic` is a Arabic model originally trained by GroNLP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mdebertav3_subjectivity_arabic_ar_5.5.0_3.0_1725858737600.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mdebertav3_subjectivity_arabic_ar_5.5.0_3.0_1725858737600.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|medical_english_german_9_5|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|499.3 MB|
+
+## References
+
+https://huggingface.co/DogGoesBark/medical_en_de_9_5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-medical_pubmed_8_17_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-medical_pubmed_8_17_pipeline_en.md
new file mode 100644
index 00000000000000..41ab7549c02dae
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-medical_pubmed_8_17_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English medical_pubmed_8_17_pipeline pipeline MarianTransformer from DogGoesBark
+author: John Snow Labs
+name: medical_pubmed_8_17_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.`medical_pubmed_8_17_pipeline` is a English model originally trained by DogGoesBark.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/medical_pubmed_8_17_pipeline_en_5.5.0_3.0_1725863890899.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/medical_pubmed_8_17_pipeline_en_5.5.0_3.0_1725863890899.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("medical_pubmed_8_17_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("medical_pubmed_8_17_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|medical_pubmed_8_17_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|540.6 MB|
+
+## References
+
+https://huggingface.co/DogGoesBark/medical_pubmed_8_17
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-medicalquestionanswering_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-medicalquestionanswering_pipeline_en.md
new file mode 100644
index 00000000000000..a7e76d561b96ac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-medicalquestionanswering_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English medicalquestionanswering_pipeline pipeline BertForQuestionAnswering from GonzaloValdenebro
+author: John Snow Labs
+name: medicalquestionanswering_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 BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`medicalquestionanswering_pipeline` is a English model originally trained by GonzaloValdenebro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/medicalquestionanswering_pipeline_en_5.5.0_3.0_1725885308101.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/medicalquestionanswering_pipeline_en_5.5.0_3.0_1725885308101.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("medicalquestionanswering_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("medicalquestionanswering_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|medicalquestionanswering_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.0 MB|
+
+## References
+
+https://huggingface.co/GonzaloValdenebro/MedicalQuestionAnswering
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-mi_tinyroberta_cause_en.md b/docs/_posts/ahmedlone127/2024-09-09-mi_tinyroberta_cause_en.md
new file mode 100644
index 00000000000000..0f60c6bf39ecb8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-mi_tinyroberta_cause_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English mi_tinyroberta_cause RoBertaForQuestionAnswering from Juncodh
+author: John Snow Labs
+name: mi_tinyroberta_cause
+date: 2024-09-09
+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.`mi_tinyroberta_cause` is a English model originally trained by Juncodh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mi_tinyroberta_cause_en_5.5.0_3.0_1725875921682.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mi_tinyroberta_cause_en_5.5.0_3.0_1725875921682.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mi_tinyroberta_cause|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|306.2 MB|
+
+## References
+
+https://huggingface.co/Juncodh/mi_tinyROBERTA_cause
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-mlm_jjk_subtitle_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-mlm_jjk_subtitle_v2_pipeline_en.md
new file mode 100644
index 00000000000000..3c1767962ac36e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-mlm_jjk_subtitle_v2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English mlm_jjk_subtitle_v2_pipeline pipeline DistilBertEmbeddings from kaiku03
+author: John Snow Labs
+name: mlm_jjk_subtitle_v2_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.`mlm_jjk_subtitle_v2_pipeline` is a English model originally trained by kaiku03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mlm_jjk_subtitle_v2_pipeline_en_5.5.0_3.0_1725921274709.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mlm_jjk_subtitle_v2_pipeline_en_5.5.0_3.0_1725921274709.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mlm_jjk_subtitle_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mlm_jjk_subtitle_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mlm_jjk_subtitle_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/kaiku03/MLM_JJK_SUBTITLE_V2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-mobilebert_finetuned_ner_mrm8488_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-mobilebert_finetuned_ner_mrm8488_pipeline_en.md
new file mode 100644
index 00000000000000..4ad523c6c43762
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-mobilebert_finetuned_ner_mrm8488_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English mobilebert_finetuned_ner_mrm8488_pipeline pipeline BertForTokenClassification from mrm8488
+author: John Snow Labs
+name: mobilebert_finetuned_ner_mrm8488_pipeline
+date: 2024-09-09
+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.`mobilebert_finetuned_ner_mrm8488_pipeline` is a English model originally trained by mrm8488.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mobilebert_finetuned_ner_mrm8488_pipeline_en_5.5.0_3.0_1725886746770.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mobilebert_finetuned_ner_mrm8488_pipeline_en_5.5.0_3.0_1725886746770.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mobilebert_finetuned_ner_mrm8488_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mobilebert_finetuned_ner_mrm8488_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mobilebert_finetuned_ner_mrm8488_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|92.6 MB|
+
+## References
+
+https://huggingface.co/mrm8488/mobilebert-finetuned-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-model_en.md b/docs/_posts/ahmedlone127/2024-09-09-model_en.md
new file mode 100644
index 00000000000000..a03bb1ea95c9e4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English model DistilBertEmbeddings from Dinithi
+author: John Snow Labs
+name: model
+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.`model` is a English model originally trained by Dinithi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_en_5.5.0_3.0_1725905681806.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_en_5.5.0_3.0_1725905681806.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|model|
+|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/Dinithi/Model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-model_pipeline_en.md
new file mode 100644
index 00000000000000..b9b50d21c5a9d6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English model_pipeline pipeline DistilBertEmbeddings from Dinithi
+author: John Snow Labs
+name: model_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.`model_pipeline` is a English model originally trained by Dinithi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_pipeline_en_5.5.0_3.0_1725905694976.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_pipeline_en_5.5.0_3.0_1725905694976.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|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/Dinithi/Model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-mpnet_base_natural_questions_mnrl_en.md b/docs/_posts/ahmedlone127/2024-09-09-mpnet_base_natural_questions_mnrl_en.md
new file mode 100644
index 00000000000000..c523163bc35340
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-mpnet_base_natural_questions_mnrl_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English mpnet_base_natural_questions_mnrl MPNetEmbeddings from tomaarsen
+author: John Snow Labs
+name: mpnet_base_natural_questions_mnrl
+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.`mpnet_base_natural_questions_mnrl` is a English model originally trained by tomaarsen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mpnet_base_natural_questions_mnrl_en_5.5.0_3.0_1725897128393.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mpnet_base_natural_questions_mnrl_en_5.5.0_3.0_1725897128393.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mpnet_base_natural_questions_mnrl|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[mpnet]|
+|Language:|en|
+|Size:|406.6 MB|
+
+## References
+
+https://huggingface.co/tomaarsen/mpnet-base-natural-questions-mnrl
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-mpnet_qa_en.md b/docs/_posts/ahmedlone127/2024-09-09-mpnet_qa_en.md
new file mode 100644
index 00000000000000..afea5485948e8d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-mpnet_qa_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English mpnet_qa MPNetEmbeddings from jamescalam
+author: John Snow Labs
+name: mpnet_qa
+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.`mpnet_qa` is a English model originally trained by jamescalam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mpnet_qa_en_5.5.0_3.0_1725874659156.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mpnet_qa_en_5.5.0_3.0_1725874659156.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mpnet_qa|
+|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/jamescalam/mpnet-qa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-mpnetforclassification_en.md b/docs/_posts/ahmedlone127/2024-09-09-mpnetforclassification_en.md
new file mode 100644
index 00000000000000..1d4339bcbf33da
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-mpnetforclassification_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English mpnetforclassification MPNetForSequenceClassification from poooj
+author: John Snow Labs
+name: mpnetforclassification
+date: 2024-09-09
+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.`mpnetforclassification` is a English model originally trained by poooj.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mpnetforclassification_en_5.5.0_3.0_1725881042658.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mpnetforclassification_en_5.5.0_3.0_1725881042658.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|multilingual_xlm_roberta_for_ner_apak|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|xx|
+|Size:|839.7 MB|
+
+## References
+
+https://huggingface.co/apak/multilingual-xlm-roberta-for-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-n_roberta_imdb_padding0model_en.md b/docs/_posts/ahmedlone127/2024-09-09-n_roberta_imdb_padding0model_en.md
new file mode 100644
index 00000000000000..099eb4e00c63f1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-n_roberta_imdb_padding0model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English n_roberta_imdb_padding0model RoBertaForSequenceClassification from Realgon
+author: John Snow Labs
+name: n_roberta_imdb_padding0model
+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_imdb_padding0model` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/n_roberta_imdb_padding0model_en_5.5.0_3.0_1725903698412.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/n_roberta_imdb_padding0model_en_5.5.0_3.0_1725903698412.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_imdb_padding0model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|463.1 MB|
+
+## References
+
+https://huggingface.co/Realgon/N_roberta_imdb_padding0model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-n_roberta_imdb_padding0model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-n_roberta_imdb_padding0model_pipeline_en.md
new file mode 100644
index 00000000000000..3d37d03b4f05b3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-n_roberta_imdb_padding0model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English n_roberta_imdb_padding0model_pipeline pipeline RoBertaForSequenceClassification from Realgon
+author: John Snow Labs
+name: n_roberta_imdb_padding0model_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.`n_roberta_imdb_padding0model_pipeline` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/n_roberta_imdb_padding0model_pipeline_en_5.5.0_3.0_1725903723083.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/n_roberta_imdb_padding0model_pipeline_en_5.5.0_3.0_1725903723083.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("n_roberta_imdb_padding0model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("n_roberta_imdb_padding0model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|n_roberta_imdb_padding0model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|463.1 MB|
+
+## References
+
+https://huggingface.co/Realgon/N_roberta_imdb_padding0model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-nepal_bhasa_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-nepal_bhasa_model_pipeline_en.md
new file mode 100644
index 00000000000000..1b20aa436972d8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-nepal_bhasa_model_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English nepal_bhasa_model_pipeline pipeline RoBertaForQuestionAnswering from marwanimroz18
+author: John Snow Labs
+name: nepal_bhasa_model_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.`nepal_bhasa_model_pipeline` is a English model originally trained by marwanimroz18.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nepal_bhasa_model_pipeline_en_5.5.0_3.0_1725876361299.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nepal_bhasa_model_pipeline_en_5.5.0_3.0_1725876361299.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nepal_bhasa_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nepal_bhasa_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nepal_bhasa_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/marwanimroz18/new_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-ner_distilbert_nlpproject_en.md b/docs/_posts/ahmedlone127/2024-09-09-ner_distilbert_nlpproject_en.md
new file mode 100644
index 00000000000000..7eeb10b2fe20e9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-ner_distilbert_nlpproject_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ner_distilbert_nlpproject DistilBertForTokenClassification from nlpproject
+author: John Snow Labs
+name: ner_distilbert_nlpproject
+date: 2024-09-09
+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.`ner_distilbert_nlpproject` is a English model originally trained by nlpproject.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_distilbert_nlpproject_en_5.5.0_3.0_1725889773210.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_distilbert_nlpproject_en_5.5.0_3.0_1725889773210.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_distilbert_nlpproject|
+|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/nlpproject/NER_distilBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-ner_ner_random2_seed1_bernice_en.md b/docs/_posts/ahmedlone127/2024-09-09-ner_ner_random2_seed1_bernice_en.md
new file mode 100644
index 00000000000000..40d5443d864434
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-ner_ner_random2_seed1_bernice_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ner_ner_random2_seed1_bernice XlmRoBertaForTokenClassification from tweettemposhift
+author: John Snow Labs
+name: ner_ner_random2_seed1_bernice
+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.`ner_ner_random2_seed1_bernice` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_ner_random2_seed1_bernice_en_5.5.0_3.0_1725895235281.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_ner_random2_seed1_bernice_en_5.5.0_3.0_1725895235281.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_seed1_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_seed1-bernice
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-ner_ner_random2_seed1_bernice_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-ner_ner_random2_seed1_bernice_pipeline_en.md
new file mode 100644
index 00000000000000..20c26d5b1f1371
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-ner_ner_random2_seed1_bernice_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ner_ner_random2_seed1_bernice_pipeline pipeline XlmRoBertaForTokenClassification from tweettemposhift
+author: John Snow Labs
+name: ner_ner_random2_seed1_bernice_pipeline
+date: 2024-09-09
+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.`ner_ner_random2_seed1_bernice_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_bernice_pipeline_en_5.5.0_3.0_1725895371899.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_ner_random2_seed1_bernice_pipeline_en_5.5.0_3.0_1725895371899.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_bernice_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ner_ner_random2_seed1_bernice_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_ner_random2_seed1_bernice_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|802.6 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/ner-ner_random2_seed1-bernice
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-ner_ner_temporal_bernice_en.md b/docs/_posts/ahmedlone127/2024-09-09-ner_ner_temporal_bernice_en.md
new file mode 100644
index 00000000000000..52c3bfee197ec2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-ner_ner_temporal_bernice_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ner_ner_temporal_bernice XlmRoBertaForTokenClassification from tweettemposhift
+author: John Snow Labs
+name: ner_ner_temporal_bernice
+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.`ner_ner_temporal_bernice` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_ner_temporal_bernice_en_5.5.0_3.0_1725895573735.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_ner_temporal_bernice_en_5.5.0_3.0_1725895573735.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_temporal_bernice|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|802.0 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/ner-ner_temporal-bernice
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-nerd_nerd_random3_seed2_bernice_en.md b/docs/_posts/ahmedlone127/2024-09-09-nerd_nerd_random3_seed2_bernice_en.md
new file mode 100644
index 00000000000000..869d2f5617140b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-nerd_nerd_random3_seed2_bernice_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English nerd_nerd_random3_seed2_bernice XlmRoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: nerd_nerd_random3_seed2_bernice
+date: 2024-09-09
+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_random3_seed2_bernice` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nerd_nerd_random3_seed2_bernice_en_5.5.0_3.0_1725870100934.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nerd_nerd_random3_seed2_bernice_en_5.5.0_3.0_1725870100934.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_random3_seed2_bernice|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|832.0 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/nerd-nerd_random3_seed2-bernice
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-news_classification_distilbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-news_classification_distilbert_pipeline_en.md
new file mode 100644
index 00000000000000..b1b38b14030bc0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-news_classification_distilbert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English news_classification_distilbert_pipeline pipeline DistilBertForSequenceClassification from Laurie
+author: John Snow Labs
+name: news_classification_distilbert_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 DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`news_classification_distilbert_pipeline` is a English model originally trained by Laurie.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/news_classification_distilbert_pipeline_en_5.5.0_3.0_1725873174794.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/news_classification_distilbert_pipeline_en_5.5.0_3.0_1725873174794.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("news_classification_distilbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("news_classification_distilbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|news_classification_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/Laurie/news_classification_distilbert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-none_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-none_pipeline_en.md
new file mode 100644
index 00000000000000..397527a4f42a75
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-none_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English none_pipeline pipeline RoBertaForSequenceClassification from rose-e-wang
+author: John Snow Labs
+name: none_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.`none_pipeline` is a English model originally trained by rose-e-wang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/none_pipeline_en_5.5.0_3.0_1725912113388.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/none_pipeline_en_5.5.0_3.0_1725912113388.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("none_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("none_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|none_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/None
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-nusax_senti_xlm_r_en.md b/docs/_posts/ahmedlone127/2024-09-09-nusax_senti_xlm_r_en.md
new file mode 100644
index 00000000000000..f20ffa3609e419
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-nusax_senti_xlm_r_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English nusax_senti_xlm_r XlmRoBertaForSequenceClassification from Cincin-nvp
+author: John Snow Labs
+name: nusax_senti_xlm_r
+date: 2024-09-09
+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.`nusax_senti_xlm_r` is a English model originally trained by Cincin-nvp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nusax_senti_xlm_r_en_5.5.0_3.0_1725871498269.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nusax_senti_xlm_r_en_5.5.0_3.0_1725871498269.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_base_wce_adaptified|
+|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/ethansimrm/opus_base_wce_adaptified
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-opus_base_wce_adaptified_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-opus_base_wce_adaptified_pipeline_en.md
new file mode 100644
index 00000000000000..64a80fd3fba7e9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-opus_base_wce_adaptified_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_base_wce_adaptified_pipeline pipeline MarianTransformer from ethansimrm
+author: John Snow Labs
+name: opus_base_wce_adaptified_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_base_wce_adaptified_pipeline` is a English model originally trained by ethansimrm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_base_wce_adaptified_pipeline_en_5.5.0_3.0_1725914380715.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_base_wce_adaptified_pipeline_en_5.5.0_3.0_1725914380715.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_base_wce_adaptified_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_base_wce_adaptified_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_base_wce_adaptified_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_adaptified
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-opus_base_wce_antagonistic_en.md b/docs/_posts/ahmedlone127/2024-09-09-opus_base_wce_antagonistic_en.md
new file mode 100644
index 00000000000000..3ca20ab6b37e63
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-opus_base_wce_antagonistic_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_base_wce_antagonistic MarianTransformer from ethansimrm
+author: John Snow Labs
+name: opus_base_wce_antagonistic
+date: 2024-09-09
+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_base_wce_antagonistic` is a English model originally trained by ethansimrm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_base_wce_antagonistic_en_5.5.0_3.0_1725864170788.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_base_wce_antagonistic_en_5.5.0_3.0_1725864170788.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_base_wce_antagonistic|
+|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/ethansimrm/opus_base_wce_antagonistic
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-opus_english_arabic_fine_tuned_en.md b/docs/_posts/ahmedlone127/2024-09-09-opus_english_arabic_fine_tuned_en.md
new file mode 100644
index 00000000000000..bbcc04e0c082ca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-opus_english_arabic_fine_tuned_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_english_arabic_fine_tuned MarianTransformer from desi6ner
+author: John Snow Labs
+name: opus_english_arabic_fine_tuned
+date: 2024-09-09
+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_english_arabic_fine_tuned` is a English model originally trained by desi6ner.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_english_arabic_fine_tuned_en_5.5.0_3.0_1725864111169.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_english_arabic_fine_tuned_en_5.5.0_3.0_1725864111169.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_english_arabic_fine_tuned|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|527.7 MB|
+
+## References
+
+https://huggingface.co/desi6ner/opus-en-ar-fine-tuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-opus_english_arabic_fine_tuned_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-opus_english_arabic_fine_tuned_pipeline_en.md
new file mode 100644
index 00000000000000..33771af2a0ba13
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-opus_english_arabic_fine_tuned_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_english_arabic_fine_tuned_pipeline pipeline MarianTransformer from desi6ner
+author: John Snow Labs
+name: opus_english_arabic_fine_tuned_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_english_arabic_fine_tuned_pipeline` is a English model originally trained by desi6ner.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_english_arabic_fine_tuned_pipeline_en_5.5.0_3.0_1725864138736.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_english_arabic_fine_tuned_pipeline_en_5.5.0_3.0_1725864138736.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_english_arabic_fine_tuned_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_english_arabic_fine_tuned_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_english_arabic_fine_tuned_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|528.2 MB|
+
+## References
+
+https://huggingface.co/desi6ner/opus-en-ar-fine-tuned
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-opus_jesc_japanese_en2_en.md b/docs/_posts/ahmedlone127/2024-09-09-opus_jesc_japanese_en2_en.md
new file mode 100644
index 00000000000000..d48f1049f9e9b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-opus_jesc_japanese_en2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_jesc_japanese_en2 MarianTransformer from nomadsenshi
+author: John Snow Labs
+name: opus_jesc_japanese_en2
+date: 2024-09-09
+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_jesc_japanese_en2` is a English model originally trained by nomadsenshi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_jesc_japanese_en2_en_5.5.0_3.0_1725863378869.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_jesc_japanese_en2_en_5.5.0_3.0_1725863378869.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_jesc_japanese_en2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|515.6 MB|
+
+## References
+
+https://huggingface.co/nomadsenshi/opus-jesc-ja-en2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_azerbaijani_english_finetuned_npomo_english_5_epochs_en.md b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_azerbaijani_english_finetuned_npomo_english_5_epochs_en.md
new file mode 100644
index 00000000000000..19d1dc60f45dfc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_azerbaijani_english_finetuned_npomo_english_5_epochs_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_azerbaijani_english_finetuned_npomo_english_5_epochs MarianTransformer from UnassumingOwl
+author: John Snow Labs
+name: opus_maltese_azerbaijani_english_finetuned_npomo_english_5_epochs
+date: 2024-09-09
+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_azerbaijani_english_finetuned_npomo_english_5_epochs` is a English model originally trained by UnassumingOwl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_azerbaijani_english_finetuned_npomo_english_5_epochs_en_5.5.0_3.0_1725863578169.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_azerbaijani_english_finetuned_npomo_english_5_epochs_en_5.5.0_3.0_1725863578169.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_azerbaijani_english_finetuned_npomo_english_5_epochs|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|301.2 MB|
+
+## References
+
+https://huggingface.co/UnassumingOwl/opus-mt-az-en-finetuned-npomo-en-5-epochs
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_azerbaijani_english_finetuned_npomo_english_5_epochs_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_azerbaijani_english_finetuned_npomo_english_5_epochs_pipeline_en.md
new file mode 100644
index 00000000000000..701198b1319962
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_azerbaijani_english_finetuned_npomo_english_5_epochs_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_azerbaijani_english_finetuned_npomo_english_5_epochs_pipeline pipeline MarianTransformer from UnassumingOwl
+author: John Snow Labs
+name: opus_maltese_azerbaijani_english_finetuned_npomo_english_5_epochs_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_azerbaijani_english_finetuned_npomo_english_5_epochs_pipeline` is a English model originally trained by UnassumingOwl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_azerbaijani_english_finetuned_npomo_english_5_epochs_pipeline_en_5.5.0_3.0_1725863593091.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_azerbaijani_english_finetuned_npomo_english_5_epochs_pipeline_en_5.5.0_3.0_1725863593091.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_azerbaijani_english_finetuned_npomo_english_5_epochs_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_azerbaijani_english_finetuned_npomo_english_5_epochs_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_azerbaijani_english_finetuned_npomo_english_5_epochs_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|301.8 MB|
+
+## References
+
+https://huggingface.co/UnassumingOwl/opus-mt-az-en-finetuned-npomo-en-5-epochs
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_chinese_english_finetuned_english_tonga_tonga_islands_romanian_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_chinese_english_finetuned_english_tonga_tonga_islands_romanian_pipeline_en.md
new file mode 100644
index 00000000000000..f223e00b931348
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_chinese_english_finetuned_english_tonga_tonga_islands_romanian_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_chinese_english_finetuned_english_tonga_tonga_islands_romanian_pipeline pipeline MarianTransformer from ruandd
+author: John Snow Labs
+name: opus_maltese_chinese_english_finetuned_english_tonga_tonga_islands_romanian_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_chinese_english_finetuned_english_tonga_tonga_islands_romanian_pipeline` is a English model originally trained by ruandd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_chinese_english_finetuned_english_tonga_tonga_islands_romanian_pipeline_en_5.5.0_3.0_1725865999335.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_chinese_english_finetuned_english_tonga_tonga_islands_romanian_pipeline_en_5.5.0_3.0_1725865999335.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_chinese_english_finetuned_english_tonga_tonga_islands_romanian_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_chinese_english_finetuned_english_tonga_tonga_islands_romanian_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_chinese_english_finetuned_english_tonga_tonga_islands_romanian_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|540.4 MB|
+
+## References
+
+https://huggingface.co/ruandd/opus-mt-zh-en-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_bkm_10e10encdec_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_bkm_10e10encdec_pipeline_en.md
new file mode 100644
index 00000000000000..7b3361c84f14e9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_bkm_10e10encdec_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_english_bkm_10e10encdec_pipeline pipeline MarianTransformer from kalese
+author: John Snow Labs
+name: opus_maltese_english_bkm_10e10encdec_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_bkm_10e10encdec_pipeline` is a English model originally trained by kalese.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_bkm_10e10encdec_pipeline_en_5.5.0_3.0_1725890954129.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_bkm_10e10encdec_pipeline_en_5.5.0_3.0_1725890954129.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_english_bkm_10e10encdec_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_english_bkm_10e10encdec_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_bkm_10e10encdec_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|508.7 MB|
+
+## References
+
+https://huggingface.co/kalese/opus-mt-en-bkm-10e10encdec
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_chinese_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_chinese_pipeline_en.md
new file mode 100644
index 00000000000000..43ab0f88b0905f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_chinese_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_english_chinese_pipeline pipeline MarianTransformer from SutouOAO
+author: John Snow Labs
+name: opus_maltese_english_chinese_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_chinese_pipeline` is a English model originally trained by SutouOAO.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_chinese_pipeline_en_5.5.0_3.0_1725890570199.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_chinese_pipeline_en_5.5.0_3.0_1725890570199.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_english_chinese_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_english_chinese_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_chinese_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|541.2 MB|
+
+## References
+
+https://huggingface.co/SutouOAO/opus-mt-en-zh
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_indonesian_ccmatrix_lr_3_en.md b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_indonesian_ccmatrix_lr_3_en.md
new file mode 100644
index 00000000000000..4a8745b837ba79
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_indonesian_ccmatrix_lr_3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_english_indonesian_ccmatrix_lr_3 MarianTransformer from yonathanstwn
+author: John Snow Labs
+name: opus_maltese_english_indonesian_ccmatrix_lr_3
+date: 2024-09-09
+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_ccmatrix_lr_3` is a English model originally trained by yonathanstwn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_indonesian_ccmatrix_lr_3_en_5.5.0_3.0_1725913054976.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_indonesian_ccmatrix_lr_3_en_5.5.0_3.0_1725913054976.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_ccmatrix_lr_3|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|483.0 MB|
+
+## References
+
+https://huggingface.co/yonathanstwn/opus-mt-en-id-ccmatrix-lr-3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_indonesian_ccmatrix_lr_3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_indonesian_ccmatrix_lr_3_pipeline_en.md
new file mode 100644
index 00000000000000..3994dfb5a66ac4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_indonesian_ccmatrix_lr_3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_english_indonesian_ccmatrix_lr_3_pipeline pipeline MarianTransformer from yonathanstwn
+author: John Snow Labs
+name: opus_maltese_english_indonesian_ccmatrix_lr_3_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_indonesian_ccmatrix_lr_3_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_ccmatrix_lr_3_pipeline_en_5.5.0_3.0_1725913078975.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_indonesian_ccmatrix_lr_3_pipeline_en_5.5.0_3.0_1725913078975.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_ccmatrix_lr_3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_english_indonesian_ccmatrix_lr_3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_indonesian_ccmatrix_lr_3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|483.6 MB|
+
+## References
+
+https://huggingface.co/yonathanstwn/opus-mt-en-id-ccmatrix-lr-3
+
+## 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_andreypurwanto_en.md b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_andreypurwanto_en.md
new file mode 100644
index 00000000000000..4d5e29e7263bc9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_andreypurwanto_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_andreypurwanto MarianTransformer from andreypurwanto
+author: John Snow Labs
+name: opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_andreypurwanto
+date: 2024-09-09
+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_andreypurwanto` 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_en_5.5.0_3.0_1725913057721.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_en_5.5.0_3.0_1725913057721.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_andreypurwanto|
+|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/andreypurwanto/opus-mt-en-ro-finetuned-en-to-ro
\ 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_dlyfar_en.md b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_dlyfar_en.md
new file mode 100644
index 00000000000000..e79a3694fb0cbf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_dlyfar_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_dlyfar MarianTransformer from dlyfar
+author: John Snow Labs
+name: opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_dlyfar
+date: 2024-09-09
+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_dlyfar` is a English model originally trained by dlyfar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_dlyfar_en_5.5.0_3.0_1725891336962.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_dlyfar_en_5.5.0_3.0_1725891336962.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_dlyfar|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|508.5 MB|
+
+## References
+
+https://huggingface.co/dlyfar/opus-mt-en-ro-finetuned-en-to-ro
\ 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_guhuawuli_en.md b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_guhuawuli_en.md
new file mode 100644
index 00000000000000..77f8f8f1ae8a87
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_guhuawuli_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_guhuawuli MarianTransformer from guhuawuli
+author: John Snow Labs
+name: opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_guhuawuli
+date: 2024-09-09
+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_guhuawuli` is a English model originally trained by guhuawuli.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_guhuawuli_en_5.5.0_3.0_1725913812442.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_guhuawuli_en_5.5.0_3.0_1725913812442.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_guhuawuli|
+|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/guhuawuli/opus-mt-en-ro-finetuned-en-to-ro
\ 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_hfdsajkfd_en.md b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_hfdsajkfd_en.md
new file mode 100644
index 00000000000000..9fdd24d4a27557
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_hfdsajkfd_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_hfdsajkfd MarianTransformer from hfdsajkfd
+author: John Snow Labs
+name: opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_hfdsajkfd
+date: 2024-09-09
+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_hfdsajkfd` is a English model originally trained by hfdsajkfd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_hfdsajkfd_en_5.5.0_3.0_1725891095931.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_hfdsajkfd_en_5.5.0_3.0_1725891095931.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_hfdsajkfd|
+|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/hfdsajkfd/opus-mt-en-ro-finetuned-en-to-ro
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_spanish_finetuned_spanish_tonga_tonga_islands_hch_en.md b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_spanish_finetuned_spanish_tonga_tonga_islands_hch_en.md
new file mode 100644
index 00000000000000..e94901f4fb2717
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_spanish_finetuned_spanish_tonga_tonga_islands_hch_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_english_spanish_finetuned_spanish_tonga_tonga_islands_hch MarianTransformer from mekjr1
+author: John Snow Labs
+name: opus_maltese_english_spanish_finetuned_spanish_tonga_tonga_islands_hch
+date: 2024-09-09
+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_spanish_finetuned_spanish_tonga_tonga_islands_hch` is a English model originally trained by mekjr1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_spanish_finetuned_spanish_tonga_tonga_islands_hch_en_5.5.0_3.0_1725863537800.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_spanish_finetuned_spanish_tonga_tonga_islands_hch_en_5.5.0_3.0_1725863537800.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_hch|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|539.8 MB|
+
+## References
+
+https://huggingface.co/mekjr1/opus-mt-en-es-finetuned-es-to-hch
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_spanish_finetuned_spanish_tonga_tonga_islands_kog_en.md b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_spanish_finetuned_spanish_tonga_tonga_islands_kog_en.md
new file mode 100644
index 00000000000000..d1f321d606b59f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_spanish_finetuned_spanish_tonga_tonga_islands_kog_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_english_spanish_finetuned_spanish_tonga_tonga_islands_kog MarianTransformer from mekjr1
+author: John Snow Labs
+name: opus_maltese_english_spanish_finetuned_spanish_tonga_tonga_islands_kog
+date: 2024-09-09
+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_spanish_finetuned_spanish_tonga_tonga_islands_kog` is a English model originally trained by mekjr1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_spanish_finetuned_spanish_tonga_tonga_islands_kog_en_5.5.0_3.0_1725913299871.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_spanish_finetuned_spanish_tonga_tonga_islands_kog_en_5.5.0_3.0_1725913299871.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_kog|
+|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-kog
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_spanish_finetuned_spanish_tonga_tonga_islands_kog_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_spanish_finetuned_spanish_tonga_tonga_islands_kog_pipeline_en.md
new file mode 100644
index 00000000000000..26b5439abd3506
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_spanish_finetuned_spanish_tonga_tonga_islands_kog_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_english_spanish_finetuned_spanish_tonga_tonga_islands_kog_pipeline pipeline MarianTransformer from mekjr1
+author: John Snow Labs
+name: opus_maltese_english_spanish_finetuned_spanish_tonga_tonga_islands_kog_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_spanish_finetuned_spanish_tonga_tonga_islands_kog_pipeline` is a English model originally trained by mekjr1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_spanish_finetuned_spanish_tonga_tonga_islands_kog_pipeline_en_5.5.0_3.0_1725913328742.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_spanish_finetuned_spanish_tonga_tonga_islands_kog_pipeline_en_5.5.0_3.0_1725913328742.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_english_spanish_finetuned_spanish_tonga_tonga_islands_kog_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_english_spanish_finetuned_spanish_tonga_tonga_islands_kog_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_spanish_finetuned_spanish_tonga_tonga_islands_kog_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|540.4 MB|
+
+## References
+
+https://huggingface.co/mekjr1/opus-mt-en-es-finetuned-es-to-kog
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_vietnamese_finetuned_eng_tonga_tonga_islands_vietnamese_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_vietnamese_finetuned_eng_tonga_tonga_islands_vietnamese_pipeline_en.md
new file mode 100644
index 00000000000000..7643acaf9cf9d4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_vietnamese_finetuned_eng_tonga_tonga_islands_vietnamese_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_english_vietnamese_finetuned_eng_tonga_tonga_islands_vietnamese_pipeline pipeline MarianTransformer from callmeJ
+author: John Snow Labs
+name: opus_maltese_english_vietnamese_finetuned_eng_tonga_tonga_islands_vietnamese_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_vietnamese_finetuned_eng_tonga_tonga_islands_vietnamese_pipeline` is a English model originally trained by callmeJ.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_vietnamese_finetuned_eng_tonga_tonga_islands_vietnamese_pipeline_en_5.5.0_3.0_1725863089676.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_vietnamese_finetuned_eng_tonga_tonga_islands_vietnamese_pipeline_en_5.5.0_3.0_1725863089676.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_english_vietnamese_finetuned_eng_tonga_tonga_islands_vietnamese_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_english_vietnamese_finetuned_eng_tonga_tonga_islands_vietnamese_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_vietnamese_finetuned_eng_tonga_tonga_islands_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/callmeJ/opus-mt-en-vi-finetuned-eng-to-vie
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_vietnamese_full_finetuned_english_tonga_tonga_islands_vietnamese_en.md b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_vietnamese_full_finetuned_english_tonga_tonga_islands_vietnamese_en.md
new file mode 100644
index 00000000000000..323524137ae99b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_vietnamese_full_finetuned_english_tonga_tonga_islands_vietnamese_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_english_vietnamese_full_finetuned_english_tonga_tonga_islands_vietnamese MarianTransformer from ncduy
+author: John Snow Labs
+name: opus_maltese_english_vietnamese_full_finetuned_english_tonga_tonga_islands_vietnamese
+date: 2024-09-09
+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_vietnamese_full_finetuned_english_tonga_tonga_islands_vietnamese` is a English model originally trained by ncduy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_vietnamese_full_finetuned_english_tonga_tonga_islands_vietnamese_en_5.5.0_3.0_1725863609663.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_vietnamese_full_finetuned_english_tonga_tonga_islands_vietnamese_en_5.5.0_3.0_1725863609663.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_vietnamese_full_finetuned_english_tonga_tonga_islands_vietnamese|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|476.7 MB|
+
+## References
+
+https://huggingface.co/ncduy/opus-mt-en-vi-full-finetuned-en-to-vi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_italian_english_finetuned_20000_italian_tonga_tonga_islands_english_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_italian_english_finetuned_20000_italian_tonga_tonga_islands_english_pipeline_en.md
new file mode 100644
index 00000000000000..d4e343b3d8ef0f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_italian_english_finetuned_20000_italian_tonga_tonga_islands_english_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_italian_english_finetuned_20000_italian_tonga_tonga_islands_english_pipeline pipeline MarianTransformer from VFiona
+author: John Snow Labs
+name: opus_maltese_italian_english_finetuned_20000_italian_tonga_tonga_islands_english_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_italian_english_finetuned_20000_italian_tonga_tonga_islands_english_pipeline` is a English model originally trained by VFiona.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_italian_english_finetuned_20000_italian_tonga_tonga_islands_english_pipeline_en_5.5.0_3.0_1725913874508.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_italian_english_finetuned_20000_italian_tonga_tonga_islands_english_pipeline_en_5.5.0_3.0_1725913874508.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_italian_english_finetuned_20000_italian_tonga_tonga_islands_english_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_italian_english_finetuned_20000_italian_tonga_tonga_islands_english_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_italian_english_finetuned_20000_italian_tonga_tonga_islands_english_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|625.6 MB|
+
+## References
+
+https://huggingface.co/VFiona/opus-mt-it-en-finetuned_20000-it-to-en
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_marathi_marh_english_marathi_marh_english_nepal_bhasa_en.md b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_marathi_marh_english_marathi_marh_english_nepal_bhasa_en.md
new file mode 100644
index 00000000000000..f45ca2148fbb54
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_marathi_marh_english_marathi_marh_english_nepal_bhasa_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_marathi_marh_english_marathi_marh_english_nepal_bhasa MarianTransformer from october-sd
+author: John Snow Labs
+name: opus_maltese_marathi_marh_english_marathi_marh_english_nepal_bhasa
+date: 2024-09-09
+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_marathi_marh_english_marathi_marh_english_nepal_bhasa` is a English model originally trained by october-sd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_marathi_marh_english_marathi_marh_english_nepal_bhasa_en_5.5.0_3.0_1725914369189.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_marathi_marh_english_marathi_marh_english_nepal_bhasa_en_5.5.0_3.0_1725914369189.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_marathi_marh_english_marathi_marh_english_nepal_bhasa|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|519.1 MB|
+
+## References
+
+https://huggingface.co/october-sd/opus-mt-mr-en_mr_en_new
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_marathi_marh_english_marathi_marh_english_nepal_bhasa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_marathi_marh_english_marathi_marh_english_nepal_bhasa_pipeline_en.md
new file mode 100644
index 00000000000000..65b2870bb5be3e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_marathi_marh_english_marathi_marh_english_nepal_bhasa_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_marathi_marh_english_marathi_marh_english_nepal_bhasa_pipeline pipeline MarianTransformer from october-sd
+author: John Snow Labs
+name: opus_maltese_marathi_marh_english_marathi_marh_english_nepal_bhasa_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_marathi_marh_english_marathi_marh_english_nepal_bhasa_pipeline` is a English model originally trained by october-sd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_marathi_marh_english_marathi_marh_english_nepal_bhasa_pipeline_en_5.5.0_3.0_1725914396481.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_marathi_marh_english_marathi_marh_english_nepal_bhasa_pipeline_en_5.5.0_3.0_1725914396481.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_marathi_marh_english_marathi_marh_english_nepal_bhasa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_marathi_marh_english_marathi_marh_english_nepal_bhasa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_marathi_marh_english_marathi_marh_english_nepal_bhasa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|519.6 MB|
+
+## References
+
+https://huggingface.co/october-sd/opus-mt-mr-en_mr_en_new
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_russian_english_finetuned_russian_tonga_tonga_islands_english_dentikka_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_russian_english_finetuned_russian_tonga_tonga_islands_english_dentikka_pipeline_en.md
new file mode 100644
index 00000000000000..3c83c6b3ed502c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_russian_english_finetuned_russian_tonga_tonga_islands_english_dentikka_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_russian_english_finetuned_russian_tonga_tonga_islands_english_dentikka_pipeline pipeline MarianTransformer from Dentikka
+author: John Snow Labs
+name: opus_maltese_russian_english_finetuned_russian_tonga_tonga_islands_english_dentikka_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_russian_english_finetuned_russian_tonga_tonga_islands_english_dentikka_pipeline` is a English model originally trained by Dentikka.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_russian_english_finetuned_russian_tonga_tonga_islands_english_dentikka_pipeline_en_5.5.0_3.0_1725840270574.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_russian_english_finetuned_russian_tonga_tonga_islands_english_dentikka_pipeline_en_5.5.0_3.0_1725840270574.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_russian_tonga_tonga_islands_english_dentikka_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_russian_english_finetuned_russian_tonga_tonga_islands_english_dentikka_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_russian_english_finetuned_russian_tonga_tonga_islands_english_dentikka_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|526.9 MB|
+
+## References
+
+https://huggingface.co/Dentikka/opus-mt-ru-en-finetuned-ru-to-en
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_walloon_english_finetuned_npomo_english_5_epochs_en.md b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_walloon_english_finetuned_npomo_english_5_epochs_en.md
new file mode 100644
index 00000000000000..b6df0d85a58f20
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_walloon_english_finetuned_npomo_english_5_epochs_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_walloon_english_finetuned_npomo_english_5_epochs MarianTransformer from UnassumingOwl
+author: John Snow Labs
+name: opus_maltese_walloon_english_finetuned_npomo_english_5_epochs
+date: 2024-09-09
+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_walloon_english_finetuned_npomo_english_5_epochs` is a English model originally trained by UnassumingOwl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_walloon_english_finetuned_npomo_english_5_epochs_en_5.5.0_3.0_1725913584266.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_walloon_english_finetuned_npomo_english_5_epochs_en_5.5.0_3.0_1725913584266.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_walloon_english_finetuned_npomo_english_5_epochs|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|506.3 MB|
+
+## References
+
+https://huggingface.co/UnassumingOwl/opus-mt-wa-en-finetuned-npomo-en-5-epochs
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_walloon_english_finetuned_npomo_english_5_epochs_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_walloon_english_finetuned_npomo_english_5_epochs_pipeline_en.md
new file mode 100644
index 00000000000000..8f2bb45e7020d8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_walloon_english_finetuned_npomo_english_5_epochs_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_walloon_english_finetuned_npomo_english_5_epochs_pipeline pipeline MarianTransformer from UnassumingOwl
+author: John Snow Labs
+name: opus_maltese_walloon_english_finetuned_npomo_english_5_epochs_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_walloon_english_finetuned_npomo_english_5_epochs_pipeline` is a English model originally trained by UnassumingOwl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_walloon_english_finetuned_npomo_english_5_epochs_pipeline_en_5.5.0_3.0_1725913612453.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_walloon_english_finetuned_npomo_english_5_epochs_pipeline_en_5.5.0_3.0_1725913612453.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_walloon_english_finetuned_npomo_english_5_epochs_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_walloon_english_finetuned_npomo_english_5_epochs_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_walloon_english_finetuned_npomo_english_5_epochs_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|506.9 MB|
+
+## References
+
+https://huggingface.co/UnassumingOwl/opus-mt-wa-en-finetuned-npomo-en-5-epochs
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-opus_wmt_finetuned_enfr_hpc_en.md b/docs/_posts/ahmedlone127/2024-09-09-opus_wmt_finetuned_enfr_hpc_en.md
new file mode 100644
index 00000000000000..e7516556dbbb83
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-opus_wmt_finetuned_enfr_hpc_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_wmt_finetuned_enfr_hpc MarianTransformer from ethansimrm
+author: John Snow Labs
+name: opus_wmt_finetuned_enfr_hpc
+date: 2024-09-09
+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_wmt_finetuned_enfr_hpc` is a English model originally trained by ethansimrm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_wmt_finetuned_enfr_hpc_en_5.5.0_3.0_1725913583311.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_wmt_finetuned_enfr_hpc_en_5.5.0_3.0_1725913583311.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_wmt_finetuned_enfr_hpc|
+|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/ethansimrm/opus_wmt_finetuned_enfr_hpc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-opus_wmt_finetuned_enfr_hpc_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-opus_wmt_finetuned_enfr_hpc_pipeline_en.md
new file mode 100644
index 00000000000000..d0ab6f688bb4bf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-opus_wmt_finetuned_enfr_hpc_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_wmt_finetuned_enfr_hpc_pipeline pipeline MarianTransformer from ethansimrm
+author: John Snow Labs
+name: opus_wmt_finetuned_enfr_hpc_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_wmt_finetuned_enfr_hpc_pipeline` is a English model originally trained by ethansimrm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_wmt_finetuned_enfr_hpc_pipeline_en_5.5.0_3.0_1725913610282.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_wmt_finetuned_enfr_hpc_pipeline_en_5.5.0_3.0_1725913610282.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_wmt_finetuned_enfr_hpc_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_wmt_finetuned_enfr_hpc_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_wmt_finetuned_enfr_hpc_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_wmt_finetuned_enfr_hpc
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-originality_tagging8_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-originality_tagging8_pipeline_en.md
new file mode 100644
index 00000000000000..f9b32f0e79141e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-originality_tagging8_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English originality_tagging8_pipeline pipeline RoBertaForSequenceClassification from EricCham8
+author: John Snow Labs
+name: originality_tagging8_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.`originality_tagging8_pipeline` is a English model originally trained by EricCham8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/originality_tagging8_pipeline_en_5.5.0_3.0_1725903378052.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/originality_tagging8_pipeline_en_5.5.0_3.0_1725903378052.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("originality_tagging8_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("originality_tagging8_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|originality_tagging8_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|449.5 MB|
+
+## References
+
+https://huggingface.co/EricCham8/Originality_tagging8
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-othe_3_en.md b/docs/_posts/ahmedlone127/2024-09-09-othe_3_en.md
new file mode 100644
index 00000000000000..2eca3073cf3b30
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-othe_3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English othe_3 RoBertaForSequenceClassification from BaronSch
+author: John Snow Labs
+name: othe_3
+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.`othe_3` is a English model originally trained by BaronSch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/othe_3_en_5.5.0_3.0_1725919889748.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/othe_3_en_5.5.0_3.0_1725919889748.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|othe_3|
+|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/Othe_3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-othe_3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-othe_3_pipeline_en.md
new file mode 100644
index 00000000000000..5271142f94e17e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-othe_3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English othe_3_pipeline pipeline RoBertaForSequenceClassification from BaronSch
+author: John Snow Labs
+name: othe_3_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.`othe_3_pipeline` is a English model originally trained by BaronSch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/othe_3_pipeline_en_5.5.0_3.0_1725919912567.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/othe_3_pipeline_en_5.5.0_3.0_1725919912567.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("othe_3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("othe_3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|othe_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/Othe_3
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-othe_4_en.md b/docs/_posts/ahmedlone127/2024-09-09-othe_4_en.md
new file mode 100644
index 00000000000000..8a0a05e4eddb05
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-othe_4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English othe_4 RoBertaForSequenceClassification from BaronSch
+author: John Snow Labs
+name: othe_4
+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.`othe_4` is a English model originally trained by BaronSch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/othe_4_en_5.5.0_3.0_1725920756509.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/othe_4_en_5.5.0_3.0_1725920756509.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|othe_4|
+|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/Othe_4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-otis_official_spam_model_en.md b/docs/_posts/ahmedlone127/2024-09-09-otis_official_spam_model_en.md
new file mode 100644
index 00000000000000..46bac4925d61fb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-otis_official_spam_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English otis_official_spam_model BertForSequenceClassification from Titeiiko
+author: John Snow Labs
+name: otis_official_spam_model
+date: 2024-09-09
+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.`otis_official_spam_model` is a English model originally trained by Titeiiko.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/otis_official_spam_model_en_5.5.0_3.0_1725900731070.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/otis_official_spam_model_en_5.5.0_3.0_1725900731070.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|otis_official_spam_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|16.7 MB|
+
+## References
+
+https://huggingface.co/Titeiiko/OTIS-Official-Spam-Model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-paraphrase_mpnet_base_v2_sst2_4samps_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-paraphrase_mpnet_base_v2_sst2_4samps_pipeline_en.md
new file mode 100644
index 00000000000000..c4f2e05579a274
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-paraphrase_mpnet_base_v2_sst2_4samps_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English paraphrase_mpnet_base_v2_sst2_4samps_pipeline pipeline MPNetEmbeddings from orenpereg
+author: John Snow Labs
+name: paraphrase_mpnet_base_v2_sst2_4samps_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 MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`paraphrase_mpnet_base_v2_sst2_4samps_pipeline` is a English model originally trained by orenpereg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/paraphrase_mpnet_base_v2_sst2_4samps_pipeline_en_5.5.0_3.0_1725896695345.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/paraphrase_mpnet_base_v2_sst2_4samps_pipeline_en_5.5.0_3.0_1725896695345.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("paraphrase_mpnet_base_v2_sst2_4samps_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("paraphrase_mpnet_base_v2_sst2_4samps_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|paraphrase_mpnet_base_v2_sst2_4samps_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/orenpereg/paraphrase-mpnet-base-v2_sst2_4samps
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-passage_ranker_chocolate_en.md b/docs/_posts/ahmedlone127/2024-09-09-passage_ranker_chocolate_en.md
new file mode 100644
index 00000000000000..9e7d2c8f6de4f5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-passage_ranker_chocolate_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English passage_ranker_chocolate BertForSequenceClassification from sinequa
+author: John Snow Labs
+name: passage_ranker_chocolate
+date: 2024-09-09
+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_chocolate` is a English model originally trained by sinequa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/passage_ranker_chocolate_en_5.5.0_3.0_1725899970448.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/passage_ranker_chocolate_en_5.5.0_3.0_1725899970448.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|patentbert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|en|
+|Size:|75.3 MB|
+
+## References
+
+https://huggingface.co/dheerajpai/patentbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-patentbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-patentbert_pipeline_en.md
new file mode 100644
index 00000000000000..f20521394de378
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-patentbert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English patentbert_pipeline pipeline BertEmbeddings from dheerajpai
+author: John Snow Labs
+name: patentbert_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 BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`patentbert_pipeline` is a English model originally trained by dheerajpai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/patentbert_pipeline_en_5.5.0_3.0_1725881676350.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/patentbert_pipeline_en_5.5.0_3.0_1725881676350.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("patentbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("patentbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|patentbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|75.4 MB|
+
+## References
+
+https://huggingface.co/dheerajpai/patentbert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-petbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-petbert_pipeline_en.md
new file mode 100644
index 00000000000000..4453b6451009c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-petbert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English petbert_pipeline pipeline BertEmbeddings from SAVSNET
+author: John Snow Labs
+name: petbert_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 BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`petbert_pipeline` is a English model originally trained by SAVSNET.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/petbert_pipeline_en_5.5.0_3.0_1725881944598.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/petbert_pipeline_en_5.5.0_3.0_1725881944598.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("petbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("petbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|petbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.2 MB|
+
+## References
+
+https://huggingface.co/SAVSNET/PetBERT
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-platzi_distilroberta_base_mrpc_glue_jonathan_castillo_en.md b/docs/_posts/ahmedlone127/2024-09-09-platzi_distilroberta_base_mrpc_glue_jonathan_castillo_en.md
new file mode 100644
index 00000000000000..9d50b2ac74e7f7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-platzi_distilroberta_base_mrpc_glue_jonathan_castillo_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English platzi_distilroberta_base_mrpc_glue_jonathan_castillo RoBertaForSequenceClassification from platzi
+author: John Snow Labs
+name: platzi_distilroberta_base_mrpc_glue_jonathan_castillo
+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.`platzi_distilroberta_base_mrpc_glue_jonathan_castillo` 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_jonathan_castillo_en_5.5.0_3.0_1725903687240.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/platzi_distilroberta_base_mrpc_glue_jonathan_castillo_en_5.5.0_3.0_1725903687240.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|platzi_distilroberta_base_mrpc_glue_jonathan_castillo|
+|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/platzi/platzi-distilroberta-base-mrpc-glue-Jonathan-Castillo
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-portuguese_xlm_r_falsefalse_0_2_best_en.md b/docs/_posts/ahmedlone127/2024-09-09-portuguese_xlm_r_falsefalse_0_2_best_en.md
new file mode 100644
index 00000000000000..f3de192cb8c306
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-portuguese_xlm_r_falsefalse_0_2_best_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English portuguese_xlm_r_falsefalse_0_2_best XlmRoBertaForSequenceClassification from harish
+author: John Snow Labs
+name: portuguese_xlm_r_falsefalse_0_2_best
+date: 2024-09-09
+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.`portuguese_xlm_r_falsefalse_0_2_best` is a English model originally trained by harish.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/portuguese_xlm_r_falsefalse_0_2_best_en_5.5.0_3.0_1725906946069.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/portuguese_xlm_r_falsefalse_0_2_best_en_5.5.0_3.0_1725906946069.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|portuguese_xlm_r_falsefalse_0_2_best|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|780.6 MB|
+
+## References
+
+https://huggingface.co/harish/PT-XLM_R-FalseFalse-0_2_BEST
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-portuguese_xlm_r_falsefalse_0_2_best_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-portuguese_xlm_r_falsefalse_0_2_best_pipeline_en.md
new file mode 100644
index 00000000000000..1a4482c2b4557f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-portuguese_xlm_r_falsefalse_0_2_best_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English portuguese_xlm_r_falsefalse_0_2_best_pipeline pipeline XlmRoBertaForSequenceClassification from harish
+author: John Snow Labs
+name: portuguese_xlm_r_falsefalse_0_2_best_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.`portuguese_xlm_r_falsefalse_0_2_best_pipeline` is a English model originally trained by harish.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/portuguese_xlm_r_falsefalse_0_2_best_pipeline_en_5.5.0_3.0_1725907085220.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/portuguese_xlm_r_falsefalse_0_2_best_pipeline_en_5.5.0_3.0_1725907085220.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("portuguese_xlm_r_falsefalse_0_2_best_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("portuguese_xlm_r_falsefalse_0_2_best_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|portuguese_xlm_r_falsefalse_0_2_best_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|780.6 MB|
+
+## References
+
+https://huggingface.co/harish/PT-XLM_R-FalseFalse-0_2_BEST
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-prev_lab1_finetuning_en.md b/docs/_posts/ahmedlone127/2024-09-09-prev_lab1_finetuning_en.md
new file mode 100644
index 00000000000000..377ce2f5821ba1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-prev_lab1_finetuning_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English prev_lab1_finetuning MarianTransformer from minhngca
+author: John Snow Labs
+name: prev_lab1_finetuning
+date: 2024-09-09
+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.`prev_lab1_finetuning` is a English model originally trained by minhngca.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/prev_lab1_finetuning_en_5.5.0_3.0_1725891981878.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/prev_lab1_finetuning_en_5.5.0_3.0_1725891981878.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|prev_lab1_finetuning|
+|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/minhngca/prev_lab1_finetuning
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-q2d_origin_re_5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-q2d_origin_re_5_pipeline_en.md
new file mode 100644
index 00000000000000..c11be67e82a684
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-q2d_origin_re_5_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English q2d_origin_re_5_pipeline pipeline MPNetEmbeddings from ingeol
+author: John Snow Labs
+name: q2d_origin_re_5_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 MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`q2d_origin_re_5_pipeline` is a English model originally trained by ingeol.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/q2d_origin_re_5_pipeline_en_5.5.0_3.0_1725897119691.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/q2d_origin_re_5_pipeline_en_5.5.0_3.0_1725897119691.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("q2d_origin_re_5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("q2d_origin_re_5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|q2d_origin_re_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/q2d_origin_re_5
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-q2e_ep3_35_en.md b/docs/_posts/ahmedlone127/2024-09-09-q2e_ep3_35_en.md
new file mode 100644
index 00000000000000..2861c140e4fe05
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-q2e_ep3_35_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English q2e_ep3_35 MPNetEmbeddings from ingeol
+author: John Snow Labs
+name: q2e_ep3_35
+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.`q2e_ep3_35` is a English model originally trained by ingeol.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/q2e_ep3_35_en_5.5.0_3.0_1725874597305.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/q2e_ep3_35_en_5.5.0_3.0_1725874597305.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_model_vishnun0027|
+|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/vishnun0027/Question_answering_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-question_anwsering_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-question_anwsering_pipeline_en.md
new file mode 100644
index 00000000000000..f5671165d3d1ce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-question_anwsering_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English question_anwsering_pipeline pipeline DistilBertForQuestionAnswering from Yeji-Seong
+author: John Snow Labs
+name: question_anwsering_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.`question_anwsering_pipeline` is a English model originally trained by Yeji-Seong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/question_anwsering_pipeline_en_5.5.0_3.0_1725868875569.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/question_anwsering_pipeline_en_5.5.0_3.0_1725868875569.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("question_anwsering_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("question_anwsering_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|question_anwsering_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Yeji-Seong/question-anwsering
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-re_negref_nsd_nubes_training_test_dataset_xlm_roberta_base_fine_tuned_en.md b/docs/_posts/ahmedlone127/2024-09-09-re_negref_nsd_nubes_training_test_dataset_xlm_roberta_base_fine_tuned_en.md
new file mode 100644
index 00000000000000..da249d22e46ff5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-re_negref_nsd_nubes_training_test_dataset_xlm_roberta_base_fine_tuned_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English re_negref_nsd_nubes_training_test_dataset_xlm_roberta_base_fine_tuned XlmRoBertaForTokenClassification from ajtamayoh
+author: John Snow Labs
+name: re_negref_nsd_nubes_training_test_dataset_xlm_roberta_base_fine_tuned
+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.`re_negref_nsd_nubes_training_test_dataset_xlm_roberta_base_fine_tuned` is a English model originally trained by ajtamayoh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/re_negref_nsd_nubes_training_test_dataset_xlm_roberta_base_fine_tuned_en_5.5.0_3.0_1725894618973.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/re_negref_nsd_nubes_training_test_dataset_xlm_roberta_base_fine_tuned_en_5.5.0_3.0_1725894618973.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|re_negref_nsd_nubes_training_test_dataset_xlm_roberta_base_fine_tuned|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|847.7 MB|
+
+## References
+
+https://huggingface.co/ajtamayoh/RE_NegREF_NSD_Nubes_Training_Test_dataset_xlm_RoBERTa_base_fine_tuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-re_negref_nsd_nubes_training_test_dataset_xlm_roberta_base_fine_tuned_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-re_negref_nsd_nubes_training_test_dataset_xlm_roberta_base_fine_tuned_pipeline_en.md
new file mode 100644
index 00000000000000..7e916a67bb971a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-re_negref_nsd_nubes_training_test_dataset_xlm_roberta_base_fine_tuned_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English re_negref_nsd_nubes_training_test_dataset_xlm_roberta_base_fine_tuned_pipeline pipeline XlmRoBertaForTokenClassification from ajtamayoh
+author: John Snow Labs
+name: re_negref_nsd_nubes_training_test_dataset_xlm_roberta_base_fine_tuned_pipeline
+date: 2024-09-09
+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.`re_negref_nsd_nubes_training_test_dataset_xlm_roberta_base_fine_tuned_pipeline` is a English model originally trained by ajtamayoh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/re_negref_nsd_nubes_training_test_dataset_xlm_roberta_base_fine_tuned_pipeline_en_5.5.0_3.0_1725894676172.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/re_negref_nsd_nubes_training_test_dataset_xlm_roberta_base_fine_tuned_pipeline_en_5.5.0_3.0_1725894676172.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("re_negref_nsd_nubes_training_test_dataset_xlm_roberta_base_fine_tuned_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("re_negref_nsd_nubes_training_test_dataset_xlm_roberta_base_fine_tuned_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|re_negref_nsd_nubes_training_test_dataset_xlm_roberta_base_fine_tuned_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|847.7 MB|
+
+## References
+
+https://huggingface.co/ajtamayoh/RE_NegREF_NSD_Nubes_Training_Test_dataset_xlm_RoBERTa_base_fine_tuned
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-regr_1_en.md b/docs/_posts/ahmedlone127/2024-09-09-regr_1_en.md
new file mode 100644
index 00000000000000..5d8d3a1187c450
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-regr_1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English regr_1 RoBertaForSequenceClassification from BaronSch
+author: John Snow Labs
+name: regr_1
+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.`regr_1` is a English model originally trained by BaronSch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/regr_1_en_5.5.0_3.0_1725904195314.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/regr_1_en_5.5.0_3.0_1725904195314.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|results_azyren|
+|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/Azyren/results
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-rewardmodel_robertabase_rajueee_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-rewardmodel_robertabase_rajueee_pipeline_en.md
new file mode 100644
index 00000000000000..ab58c566852ff1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-rewardmodel_robertabase_rajueee_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English rewardmodel_robertabase_rajueee_pipeline pipeline RoBertaForSequenceClassification from RajuEEE
+author: John Snow Labs
+name: rewardmodel_robertabase_rajueee_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.`rewardmodel_robertabase_rajueee_pipeline` is a English model originally trained by RajuEEE.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rewardmodel_robertabase_rajueee_pipeline_en_5.5.0_3.0_1725904438891.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rewardmodel_robertabase_rajueee_pipeline_en_5.5.0_3.0_1725904438891.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("rewardmodel_robertabase_rajueee_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("rewardmodel_robertabase_rajueee_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rewardmodel_robertabase_rajueee_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|433.2 MB|
+
+## References
+
+https://huggingface.co/RajuEEE/RewardModel_RobertaBase
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-rg_4k_fake_signatures_en.md b/docs/_posts/ahmedlone127/2024-09-09-rg_4k_fake_signatures_en.md
new file mode 100644
index 00000000000000..e569b9a5f9d78a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-rg_4k_fake_signatures_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English rg_4k_fake_signatures DistilBertForTokenClassification from chilliadgl
+author: John Snow Labs
+name: rg_4k_fake_signatures
+date: 2024-09-09
+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.`rg_4k_fake_signatures` is a English model originally trained by chilliadgl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rg_4k_fake_signatures_en_5.5.0_3.0_1725889894185.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rg_4k_fake_signatures_en_5.5.0_3.0_1725889894185.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|robbert_dutch_cola_hylkebr|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|nl|
+|Size:|437.9 MB|
+
+## References
+
+https://huggingface.co/HylkeBr/robbert_dutch-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-robbert_dutch_cola_hylkebr_pipeline_nl.md b/docs/_posts/ahmedlone127/2024-09-09-robbert_dutch_cola_hylkebr_pipeline_nl.md
new file mode 100644
index 00000000000000..2386b2e12a3210
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-robbert_dutch_cola_hylkebr_pipeline_nl.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Dutch, Flemish robbert_dutch_cola_hylkebr_pipeline pipeline RoBertaForSequenceClassification from HylkeBr
+author: John Snow Labs
+name: robbert_dutch_cola_hylkebr_pipeline
+date: 2024-09-09
+tags: [nl, open_source, pipeline, onnx]
+task: Text Classification
+language: nl
+edition: Spark 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.`robbert_dutch_cola_hylkebr_pipeline` is a Dutch, Flemish model originally trained by HylkeBr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/robbert_dutch_cola_hylkebr_pipeline_nl_5.5.0_3.0_1725911554756.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/robbert_dutch_cola_hylkebr_pipeline_nl_5.5.0_3.0_1725911554756.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("robbert_dutch_cola_hylkebr_pipeline", lang = "nl")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("robbert_dutch_cola_hylkebr_pipeline", lang = "nl")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|robbert_dutch_cola_hylkebr_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|nl|
+|Size:|438.0 MB|
+
+## References
+
+https://huggingface.co/HylkeBr/robbert_dutch-cola
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-roberta_10_5eps_seed188_test_en.md b/docs/_posts/ahmedlone127/2024-09-09-roberta_10_5eps_seed188_test_en.md
new file mode 100644
index 00000000000000..762eb043a539d1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-roberta_10_5eps_seed188_test_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_10_5eps_seed188_test RoBertaForSequenceClassification from custeau
+author: John Snow Labs
+name: roberta_10_5eps_seed188_test
+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.`roberta_10_5eps_seed188_test` is a English model originally trained by custeau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_10_5eps_seed188_test_en_5.5.0_3.0_1725903512922.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_10_5eps_seed188_test_en_5.5.0_3.0_1725903512922.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_1b_1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|295.8 MB|
+
+## References
+
+https://huggingface.co/nyu-mll/roberta-base-1B-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-roberta_base_1b_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-roberta_base_1b_1_pipeline_en.md
new file mode 100644
index 00000000000000..72a7f1e8faa31f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-roberta_base_1b_1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_1b_1_pipeline pipeline RoBertaEmbeddings from nyu-mll
+author: John Snow Labs
+name: roberta_base_1b_1_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.`roberta_base_1b_1_pipeline` is a English model originally trained by nyu-mll.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_1b_1_pipeline_en_5.5.0_3.0_1725910343329.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_1b_1_pipeline_en_5.5.0_3.0_1725910343329.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_1b_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_1b_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_1b_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|295.9 MB|
+
+## References
+
+https://huggingface.co/nyu-mll/roberta-base-1B-1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-roberta_base_ag_news2_jupp2_en.md b/docs/_posts/ahmedlone127/2024-09-09-roberta_base_ag_news2_jupp2_en.md
new file mode 100644
index 00000000000000..ecdcc5e73742e7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-roberta_base_ag_news2_jupp2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_ag_news2_jupp2 RoBertaForSequenceClassification from Jupp2
+author: John Snow Labs
+name: roberta_base_ag_news2_jupp2
+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.`roberta_base_ag_news2_jupp2` is a English model originally trained by Jupp2.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_ag_news2_jupp2_en_5.5.0_3.0_1725902804522.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_ag_news2_jupp2_en_5.5.0_3.0_1725902804522.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_ag_news2_jupp2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|445.7 MB|
+
+## References
+
+https://huggingface.co/Jupp2/roberta-base_ag_news2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-roberta_base_bne_autext_en.md b/docs/_posts/ahmedlone127/2024-09-09-roberta_base_bne_autext_en.md
new file mode 100644
index 00000000000000..054c0a02f74d48
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-roberta_base_bne_autext_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_bne_autext RoBertaForSequenceClassification from jorgefg03
+author: John Snow Labs
+name: roberta_base_bne_autext
+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.`roberta_base_bne_autext` is a English model originally trained by jorgefg03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_autext_en_5.5.0_3.0_1725903598650.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_bne_autext_en_5.5.0_3.0_1725903598650.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_autext|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|449.5 MB|
+
+## References
+
+https://huggingface.co/jorgefg03/roberta-base-bne-autext
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-roberta_base_bne_autext_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-roberta_base_bne_autext_pipeline_en.md
new file mode 100644
index 00000000000000..cf25232292eb57
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-roberta_base_bne_autext_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_bne_autext_pipeline pipeline RoBertaForSequenceClassification from jorgefg03
+author: John Snow Labs
+name: roberta_base_bne_autext_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.`roberta_base_bne_autext_pipeline` is a English model originally trained by jorgefg03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_autext_pipeline_en_5.5.0_3.0_1725903627240.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_bne_autext_pipeline_en_5.5.0_3.0_1725903627240.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_bne_autext_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_bne_autext_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_bne_autext_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|449.6 MB|
+
+## References
+
+https://huggingface.co/jorgefg03/roberta-base-bne-autext
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-roberta_base_bne_finetuned_amazon_reviews_multi_golivaresm_en.md b/docs/_posts/ahmedlone127/2024-09-09-roberta_base_bne_finetuned_amazon_reviews_multi_golivaresm_en.md
new file mode 100644
index 00000000000000..3d40b0d215affd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-roberta_base_bne_finetuned_amazon_reviews_multi_golivaresm_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_bne_finetuned_amazon_reviews_multi_golivaresm RoBertaForSequenceClassification from golivaresm
+author: John Snow Labs
+name: roberta_base_bne_finetuned_amazon_reviews_multi_golivaresm
+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.`roberta_base_bne_finetuned_amazon_reviews_multi_golivaresm` is a English model originally trained by golivaresm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_amazon_reviews_multi_golivaresm_en_5.5.0_3.0_1725904098308.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_multi_golivaresm_en_5.5.0_3.0_1725904098308.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_multi_golivaresm|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|446.7 MB|
+
+## References
+
+https://huggingface.co/golivaresm/roberta-base-bne-finetuned-amazon_reviews_multi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-roberta_base_bne_finetuned_amazon_reviews_multi_samael98_en.md b/docs/_posts/ahmedlone127/2024-09-09-roberta_base_bne_finetuned_amazon_reviews_multi_samael98_en.md
new file mode 100644
index 00000000000000..0f000fc471e67f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-roberta_base_bne_finetuned_amazon_reviews_multi_samael98_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_bne_finetuned_amazon_reviews_multi_samael98 RoBertaForSequenceClassification from Samael98
+author: John Snow Labs
+name: roberta_base_bne_finetuned_amazon_reviews_multi_samael98
+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.`roberta_base_bne_finetuned_amazon_reviews_multi_samael98` is a English model originally trained by Samael98.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_amazon_reviews_multi_samael98_en_5.5.0_3.0_1725920089178.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_multi_samael98_en_5.5.0_3.0_1725920089178.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_multi_samael98|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|446.8 MB|
+
+## References
+
+https://huggingface.co/Samael98/roberta-base-bne-finetuned-amazon_reviews_multi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-roberta_base_catalan_v2_pipeline_ca.md b/docs/_posts/ahmedlone127/2024-09-09-roberta_base_catalan_v2_pipeline_ca.md
new file mode 100644
index 00000000000000..c4494d71fc77c3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-roberta_base_catalan_v2_pipeline_ca.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Catalan, Valencian roberta_base_catalan_v2_pipeline pipeline RoBertaEmbeddings from projecte-aina
+author: John Snow Labs
+name: roberta_base_catalan_v2_pipeline
+date: 2024-09-09
+tags: [ca, open_source, pipeline, onnx]
+task: Embeddings
+language: ca
+edition: Spark 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_catalan_v2_pipeline` is a Catalan, Valencian model originally trained by projecte-aina.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_catalan_v2_pipeline_ca_5.5.0_3.0_1725861076101.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_catalan_v2_pipeline_ca_5.5.0_3.0_1725861076101.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_catalan_v2_pipeline", lang = "ca")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_catalan_v2_pipeline", lang = "ca")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_catalan_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ca|
+|Size:|295.1 MB|
+
+## References
+
+https://huggingface.co/projecte-aina/roberta-base-ca-v2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-roberta_base_corener_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-roberta_base_corener_pipeline_en.md
new file mode 100644
index 00000000000000..09ad7295820a44
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-roberta_base_corener_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_corener_pipeline pipeline RoBertaEmbeddings from aiola
+author: John Snow Labs
+name: roberta_base_corener_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.`roberta_base_corener_pipeline` is a English model originally trained by aiola.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_corener_pipeline_en_5.5.0_3.0_1725910022715.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_corener_pipeline_en_5.5.0_3.0_1725910022715.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_corener_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_corener_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_corener_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|464.2 MB|
+
+## References
+
+https://huggingface.co/aiola/roberta-base-corener
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-roberta_base_cuad_finetuned_model_en.md b/docs/_posts/ahmedlone127/2024-09-09-roberta_base_cuad_finetuned_model_en.md
new file mode 100644
index 00000000000000..27c67c17ddd47a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-roberta_base_cuad_finetuned_model_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English roberta_base_cuad_finetuned_model RoBertaForQuestionAnswering from vpadman1
+author: John Snow Labs
+name: roberta_base_cuad_finetuned_model
+date: 2024-09-09
+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_cuad_finetuned_model` is a English model originally trained by vpadman1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_cuad_finetuned_model_en_5.5.0_3.0_1725875778356.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_cuad_finetuned_model_en_5.5.0_3.0_1725875778356.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_dofla|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|461.7 MB|
+
+## References
+
+https://huggingface.co/Dofla/roberta-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-roberta_base_ewc_15_then_16_fakenews_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-roberta_base_ewc_15_then_16_fakenews_2_pipeline_en.md
new file mode 100644
index 00000000000000..5d952b51f9f79d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-roberta_base_ewc_15_then_16_fakenews_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_ewc_15_then_16_fakenews_2_pipeline pipeline RoBertaForSequenceClassification from bazina
+author: John Snow Labs
+name: roberta_base_ewc_15_then_16_fakenews_2_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.`roberta_base_ewc_15_then_16_fakenews_2_pipeline` is a English model originally trained by bazina.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_ewc_15_then_16_fakenews_2_pipeline_en_5.5.0_3.0_1725920307705.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_ewc_15_then_16_fakenews_2_pipeline_en_5.5.0_3.0_1725920307705.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_ewc_15_then_16_fakenews_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_ewc_15_then_16_fakenews_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_ewc_15_then_16_fakenews_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|433.8 MB|
+
+## References
+
+https://huggingface.co/bazina/roberta-base-ewc-15-then-16-fakenews-2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-roberta_base_fine_disaster_tweets_part3_en.md b/docs/_posts/ahmedlone127/2024-09-09-roberta_base_fine_disaster_tweets_part3_en.md
new file mode 100644
index 00000000000000..632c1e11b0360b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-roberta_base_fine_disaster_tweets_part3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_fine_disaster_tweets_part3 RoBertaForSequenceClassification from victorbahlangene
+author: John Snow Labs
+name: roberta_base_fine_disaster_tweets_part3
+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.`roberta_base_fine_disaster_tweets_part3` is a English model originally trained by victorbahlangene.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_fine_disaster_tweets_part3_en_5.5.0_3.0_1725920124631.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_fine_disaster_tweets_part3_en_5.5.0_3.0_1725920124631.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_fine_disaster_tweets_part3|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|449.3 MB|
+
+## References
+
+https://huggingface.co/victorbahlangene/roberta-base-fine-Disaster-Tweets-Part3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-roberta_base_finetuned_3d_sentiment_en.md b/docs/_posts/ahmedlone127/2024-09-09-roberta_base_finetuned_3d_sentiment_en.md
new file mode 100644
index 00000000000000..2c0fc9c942cb72
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-roberta_base_finetuned_3d_sentiment_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_finetuned_3d_sentiment RoBertaForSequenceClassification from venetis
+author: John Snow Labs
+name: roberta_base_finetuned_3d_sentiment
+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.`roberta_base_finetuned_3d_sentiment` is a English model originally trained by venetis.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_3d_sentiment_en_5.5.0_3.0_1725902135663.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_3d_sentiment_en_5.5.0_3.0_1725902135663.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_3d_sentiment|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|455.8 MB|
+
+## References
+
+https://huggingface.co/venetis/roberta-base-finetuned-3d-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-roberta_base_finetuned_dmitva_ai_and_human_generated_en.md b/docs/_posts/ahmedlone127/2024-09-09-roberta_base_finetuned_dmitva_ai_and_human_generated_en.md
new file mode 100644
index 00000000000000..8a78b3c3ace64a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-roberta_base_finetuned_dmitva_ai_and_human_generated_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_finetuned_dmitva_ai_and_human_generated RoBertaForSequenceClassification from SkwarczynskiP
+author: John Snow Labs
+name: roberta_base_finetuned_dmitva_ai_and_human_generated
+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.`roberta_base_finetuned_dmitva_ai_and_human_generated` is a English model originally trained by SkwarczynskiP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_dmitva_ai_and_human_generated_en_5.5.0_3.0_1725902604463.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_dmitva_ai_and_human_generated_en_5.5.0_3.0_1725902604463.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_dmitva_ai_and_human_generated|
+|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/SkwarczynskiP/roberta-base-finetuned-dmitva-AI-and-human-generated
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-roberta_base_finetuned_dmitva_ai_and_human_generated_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-roberta_base_finetuned_dmitva_ai_and_human_generated_pipeline_en.md
new file mode 100644
index 00000000000000..84b0b859c91242
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-roberta_base_finetuned_dmitva_ai_and_human_generated_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_finetuned_dmitva_ai_and_human_generated_pipeline pipeline RoBertaForSequenceClassification from SkwarczynskiP
+author: John Snow Labs
+name: roberta_base_finetuned_dmitva_ai_and_human_generated_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.`roberta_base_finetuned_dmitva_ai_and_human_generated_pipeline` is a English model originally trained by SkwarczynskiP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_dmitva_ai_and_human_generated_pipeline_en_5.5.0_3.0_1725902637461.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_dmitva_ai_and_human_generated_pipeline_en_5.5.0_3.0_1725902637461.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_finetuned_dmitva_ai_and_human_generated_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_finetuned_dmitva_ai_and_human_generated_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_dmitva_ai_and_human_generated_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|425.7 MB|
+
+## References
+
+https://huggingface.co/SkwarczynskiP/roberta-base-finetuned-dmitva-AI-and-human-generated
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-roberta_base_finetuned_hotpot_qa_en.md b/docs/_posts/ahmedlone127/2024-09-09-roberta_base_finetuned_hotpot_qa_en.md
new file mode 100644
index 00000000000000..ad243598adb881
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-roberta_base_finetuned_hotpot_qa_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English roberta_base_finetuned_hotpot_qa RoBertaForQuestionAnswering from vish88
+author: John Snow Labs
+name: roberta_base_finetuned_hotpot_qa
+date: 2024-09-09
+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_finetuned_hotpot_qa` is a English model originally trained by vish88.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_hotpot_qa_en_5.5.0_3.0_1725867158700.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_hotpot_qa_en_5.5.0_3.0_1725867158700.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_hotpot_qa|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|463.9 MB|
+
+## References
+
+https://huggingface.co/vish88/roberta-base-finetuned-hotpot_qa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-roberta_base_finetuned_intent_en.md b/docs/_posts/ahmedlone127/2024-09-09-roberta_base_finetuned_intent_en.md
new file mode 100644
index 00000000000000..7d6cc4a37fa749
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-roberta_base_finetuned_intent_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_finetuned_intent RoBertaForSequenceClassification from zhiyil
+author: John Snow Labs
+name: roberta_base_finetuned_intent
+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.`roberta_base_finetuned_intent` is a English model originally trained by zhiyil.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_intent_en_5.5.0_3.0_1725911492003.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_intent_en_5.5.0_3.0_1725911492003.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_intent|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|299.7 MB|
+
+## References
+
+https://huggingface.co/zhiyil/roberta-base-finetuned-intent
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-roberta_base_finetuned_nlp_letters_s1_s2_pronouns_class_weighted_en.md b/docs/_posts/ahmedlone127/2024-09-09-roberta_base_finetuned_nlp_letters_s1_s2_pronouns_class_weighted_en.md
new file mode 100644
index 00000000000000..edbfb142c02c23
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-roberta_base_finetuned_nlp_letters_s1_s2_pronouns_class_weighted_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_finetuned_nlp_letters_s1_s2_pronouns_class_weighted RoBertaForSequenceClassification from ben-yu
+author: John Snow Labs
+name: roberta_base_finetuned_nlp_letters_s1_s2_pronouns_class_weighted
+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.`roberta_base_finetuned_nlp_letters_s1_s2_pronouns_class_weighted` is a English model originally trained by ben-yu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_nlp_letters_s1_s2_pronouns_class_weighted_en_5.5.0_3.0_1725911995618.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_nlp_letters_s1_s2_pronouns_class_weighted_en_5.5.0_3.0_1725911995618.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_nlp_letters_s1_s2_pronouns_class_weighted|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|439.3 MB|
+
+## References
+
+https://huggingface.co/ben-yu/roberta-base-finetuned-nlp-letters-s1_s2-pronouns-class-weighted
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-roberta_base_finetuned_nlp_letters_s1_s2_pronouns_class_weighted_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-roberta_base_finetuned_nlp_letters_s1_s2_pronouns_class_weighted_pipeline_en.md
new file mode 100644
index 00000000000000..c8626c5abad46b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-roberta_base_finetuned_nlp_letters_s1_s2_pronouns_class_weighted_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_finetuned_nlp_letters_s1_s2_pronouns_class_weighted_pipeline pipeline RoBertaForSequenceClassification from ben-yu
+author: John Snow Labs
+name: roberta_base_finetuned_nlp_letters_s1_s2_pronouns_class_weighted_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.`roberta_base_finetuned_nlp_letters_s1_s2_pronouns_class_weighted_pipeline` is a English model originally trained by ben-yu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_nlp_letters_s1_s2_pronouns_class_weighted_pipeline_en_5.5.0_3.0_1725912028884.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_nlp_letters_s1_s2_pronouns_class_weighted_pipeline_en_5.5.0_3.0_1725912028884.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_finetuned_nlp_letters_s1_s2_pronouns_class_weighted_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_finetuned_nlp_letters_s1_s2_pronouns_class_weighted_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_nlp_letters_s1_s2_pronouns_class_weighted_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|439.3 MB|
+
+## References
+
+https://huggingface.co/ben-yu/roberta-base-finetuned-nlp-letters-s1_s2-pronouns-class-weighted
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-roberta_base_meta_tuning_test_en.md b/docs/_posts/ahmedlone127/2024-09-09-roberta_base_meta_tuning_test_en.md
new file mode 100644
index 00000000000000..5a183de128f1f0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-roberta_base_meta_tuning_test_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_meta_tuning_test RoBertaForSequenceClassification from ruiqi-zhong
+author: John Snow Labs
+name: roberta_base_meta_tuning_test
+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.`roberta_base_meta_tuning_test` is a English model originally trained by ruiqi-zhong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_meta_tuning_test_en_5.5.0_3.0_1725902169419.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_meta_tuning_test_en_5.5.0_3.0_1725902169419.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_meta_tuning_test|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|459.3 MB|
+
+## References
+
+https://huggingface.co/ruiqi-zhong/roberta-base-meta-tuning-test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-roberta_base_meta_tuning_test_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-roberta_base_meta_tuning_test_pipeline_en.md
new file mode 100644
index 00000000000000..0308482c2b6a8e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-roberta_base_meta_tuning_test_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_meta_tuning_test_pipeline pipeline RoBertaForSequenceClassification from ruiqi-zhong
+author: John Snow Labs
+name: roberta_base_meta_tuning_test_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.`roberta_base_meta_tuning_test_pipeline` is a English model originally trained by ruiqi-zhong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_meta_tuning_test_pipeline_en_5.5.0_3.0_1725902192531.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_meta_tuning_test_pipeline_en_5.5.0_3.0_1725902192531.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_meta_tuning_test_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_meta_tuning_test_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_meta_tuning_test_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|459.3 MB|
+
+## References
+
+https://huggingface.co/ruiqi-zhong/roberta-base-meta-tuning-test
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-roberta_base_squad2_squad_k5_e3_full_finetune_en.md b/docs/_posts/ahmedlone127/2024-09-09-roberta_base_squad2_squad_k5_e3_full_finetune_en.md
new file mode 100644
index 00000000000000..3fc7861eb7422c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-roberta_base_squad2_squad_k5_e3_full_finetune_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English roberta_base_squad2_squad_k5_e3_full_finetune RoBertaForQuestionAnswering from umarzein
+author: John Snow Labs
+name: roberta_base_squad2_squad_k5_e3_full_finetune
+date: 2024-09-09
+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_squad2_squad_k5_e3_full_finetune` is a English model originally trained by umarzein.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_squad2_squad_k5_e3_full_finetune_en_5.5.0_3.0_1725875976064.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_squad2_squad_k5_e3_full_finetune_en_5.5.0_3.0_1725875976064.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_squad2_squad_k5_e3_full_finetune|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|463.7 MB|
+
+## References
+
+https://huggingface.co/umarzein/roberta-base-squad2-squad-k5-e3-full-finetune
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-roberta_base_topic_classification_simple2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-roberta_base_topic_classification_simple2_pipeline_en.md
new file mode 100644
index 00000000000000..afbc9d1ac18cc8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-roberta_base_topic_classification_simple2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_topic_classification_simple2_pipeline pipeline RoBertaForSequenceClassification from Ahmed235
+author: John Snow Labs
+name: roberta_base_topic_classification_simple2_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.`roberta_base_topic_classification_simple2_pipeline` is a English model originally trained by Ahmed235.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_topic_classification_simple2_pipeline_en_5.5.0_3.0_1725904786942.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_topic_classification_simple2_pipeline_en_5.5.0_3.0_1725904786942.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_topic_classification_simple2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_topic_classification_simple2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_topic_classification_simple2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|659.1 MB|
+
+## References
+
+https://huggingface.co/Ahmed235/roberta-base-topic_classification_simple2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-roberta_emotion_mudogruer_en.md b/docs/_posts/ahmedlone127/2024-09-09-roberta_emotion_mudogruer_en.md
new file mode 100644
index 00000000000000..96e9c0da23e440
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-roberta_emotion_mudogruer_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_emotion_mudogruer RoBertaForSequenceClassification from mudogruer
+author: John Snow Labs
+name: roberta_emotion_mudogruer
+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.`roberta_emotion_mudogruer` is a English model originally trained by mudogruer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_emotion_mudogruer_en_5.5.0_3.0_1725903682177.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_emotion_mudogruer_en_5.5.0_3.0_1725903682177.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_emotion_mudogruer|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|441.8 MB|
+
+## References
+
+https://huggingface.co/mudogruer/roberta-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-roberta_emotion_mudogruer_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-roberta_emotion_mudogruer_pipeline_en.md
new file mode 100644
index 00000000000000..bf6c103a6aac0f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-roberta_emotion_mudogruer_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_emotion_mudogruer_pipeline pipeline RoBertaForSequenceClassification from mudogruer
+author: John Snow Labs
+name: roberta_emotion_mudogruer_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.`roberta_emotion_mudogruer_pipeline` is a English model originally trained by mudogruer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_emotion_mudogruer_pipeline_en_5.5.0_3.0_1725903708599.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_emotion_mudogruer_pipeline_en_5.5.0_3.0_1725903708599.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_emotion_mudogruer_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_emotion_mudogruer_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_emotion_mudogruer_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|441.9 MB|
+
+## References
+
+https://huggingface.co/mudogruer/roberta-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-roberta_finetuned_squadcovid_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-roberta_finetuned_squadcovid_pipeline_en.md
new file mode 100644
index 00000000000000..4bd69e013ea2e7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-roberta_finetuned_squadcovid_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_finetuned_squadcovid_pipeline pipeline RoBertaForQuestionAnswering from Rahul13
+author: John Snow Labs
+name: roberta_finetuned_squadcovid_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_finetuned_squadcovid_pipeline` is a English model originally trained by Rahul13.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_squadcovid_pipeline_en_5.5.0_3.0_1725875797615.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_squadcovid_pipeline_en_5.5.0_3.0_1725875797615.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_finetuned_squadcovid_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_finetuned_squadcovid_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_finetuned_squadcovid_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|464.0 MB|
+
+## References
+
+https://huggingface.co/Rahul13/roberta-finetuned-squadcovid
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-roberta_finetuned_subjqa_chennaiqa_expanded_en.md b/docs/_posts/ahmedlone127/2024-09-09-roberta_finetuned_subjqa_chennaiqa_expanded_en.md
new file mode 100644
index 00000000000000..706a48afc99817
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-roberta_finetuned_subjqa_chennaiqa_expanded_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English roberta_finetuned_subjqa_chennaiqa_expanded RoBertaForQuestionAnswering from aditi2212
+author: John Snow Labs
+name: roberta_finetuned_subjqa_chennaiqa_expanded
+date: 2024-09-09
+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_chennaiqa_expanded` is a English model originally trained by aditi2212.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_subjqa_chennaiqa_expanded_en_5.5.0_3.0_1725876091123.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_subjqa_chennaiqa_expanded_en_5.5.0_3.0_1725876091123.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_finetuned_subjqa_chennaiqa_expanded|
+|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/aditi2212/roberta-finetuned-subjqa-ChennaiQA-expanded
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-roberta_finetuned_subjqa_movies_2_vishwasbhushanb_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-roberta_finetuned_subjqa_movies_2_vishwasbhushanb_pipeline_en.md
new file mode 100644
index 00000000000000..208638b01ddd97
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-roberta_finetuned_subjqa_movies_2_vishwasbhushanb_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_finetuned_subjqa_movies_2_vishwasbhushanb_pipeline pipeline RoBertaForQuestionAnswering from VishwasBhushanB
+author: John Snow Labs
+name: roberta_finetuned_subjqa_movies_2_vishwasbhushanb_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_finetuned_subjqa_movies_2_vishwasbhushanb_pipeline` is a English model originally trained by VishwasBhushanB.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_subjqa_movies_2_vishwasbhushanb_pipeline_en_5.5.0_3.0_1725876387268.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_subjqa_movies_2_vishwasbhushanb_pipeline_en_5.5.0_3.0_1725876387268.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_finetuned_subjqa_movies_2_vishwasbhushanb_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_finetuned_subjqa_movies_2_vishwasbhushanb_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_finetuned_subjqa_movies_2_vishwasbhushanb_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|464.1 MB|
+
+## References
+
+https://huggingface.co/VishwasBhushanB/roberta-finetuned-subjqa-movies_2
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-roberta_indosquadv2_1691411576_8_2e_05_0_01_5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-roberta_indosquadv2_1691411576_8_2e_05_0_01_5_pipeline_en.md
new file mode 100644
index 00000000000000..5ce0486290fda8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-roberta_indosquadv2_1691411576_8_2e_05_0_01_5_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_indosquadv2_1691411576_8_2e_05_0_01_5_pipeline pipeline RoBertaForQuestionAnswering from rizquuula
+author: John Snow Labs
+name: roberta_indosquadv2_1691411576_8_2e_05_0_01_5_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_indosquadv2_1691411576_8_2e_05_0_01_5_pipeline` is a English model originally trained by rizquuula.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_indosquadv2_1691411576_8_2e_05_0_01_5_pipeline_en_5.5.0_3.0_1725876097634.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_indosquadv2_1691411576_8_2e_05_0_01_5_pipeline_en_5.5.0_3.0_1725876097634.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_indosquadv2_1691411576_8_2e_05_0_01_5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_indosquadv2_1691411576_8_2e_05_0_01_5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_indosquadv2_1691411576_8_2e_05_0_01_5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|423.2 MB|
+
+## References
+
+https://huggingface.co/rizquuula/RoBERTa-IndoSQuADv2_1691411576-8-2e-05-0.01-5
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-roberta_large_few_shot_k_1024_finetuned_squad_seed_2_en.md b/docs/_posts/ahmedlone127/2024-09-09-roberta_large_few_shot_k_1024_finetuned_squad_seed_2_en.md
new file mode 100644
index 00000000000000..1238c98e98e7e7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-roberta_large_few_shot_k_1024_finetuned_squad_seed_2_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English roberta_large_few_shot_k_1024_finetuned_squad_seed_2 RoBertaForQuestionAnswering from anas-awadalla
+author: John Snow Labs
+name: roberta_large_few_shot_k_1024_finetuned_squad_seed_2
+date: 2024-09-09
+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_large_few_shot_k_1024_finetuned_squad_seed_2` is a English model originally trained by anas-awadalla.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_few_shot_k_1024_finetuned_squad_seed_2_en_5.5.0_3.0_1725875865466.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_few_shot_k_1024_finetuned_squad_seed_2_en_5.5.0_3.0_1725875865466.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_few_shot_k_1024_finetuned_squad_seed_2|
+|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/anas-awadalla/roberta-large-few-shot-k-1024-finetuned-squad-seed-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-roberta_large_go_emotions_3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-roberta_large_go_emotions_3_pipeline_en.md
new file mode 100644
index 00000000000000..f9b55dc56fc536
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-roberta_large_go_emotions_3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_large_go_emotions_3_pipeline pipeline RoBertaForSequenceClassification from tasinhoque
+author: John Snow Labs
+name: roberta_large_go_emotions_3_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.`roberta_large_go_emotions_3_pipeline` is a English model originally trained by tasinhoque.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_go_emotions_3_pipeline_en_5.5.0_3.0_1725904874016.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_go_emotions_3_pipeline_en_5.5.0_3.0_1725904874016.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_go_emotions_3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_go_emotions_3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_go_emotions_3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tasinhoque/roberta-large-go-emotions-3
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-roberta_large_mrpc_lora_en.md b/docs/_posts/ahmedlone127/2024-09-09-roberta_large_mrpc_lora_en.md
new file mode 100644
index 00000000000000..d2de3d043dfcb6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-roberta_large_mrpc_lora_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_large_mrpc_lora RoBertaForSequenceClassification from FelixChao
+author: John Snow Labs
+name: roberta_large_mrpc_lora
+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.`roberta_large_mrpc_lora` is a English model originally trained by FelixChao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_mrpc_lora_en_5.5.0_3.0_1725912182583.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_mrpc_lora_en_5.5.0_3.0_1725912182583.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_mrpc_lora|
+|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/FelixChao/roberta-large-mrpc-lora
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-roberta_large_rte_jamesdborin_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-roberta_large_rte_jamesdborin_pipeline_en.md
new file mode 100644
index 00000000000000..0872f6e028c776
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-roberta_large_rte_jamesdborin_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_large_rte_jamesdborin_pipeline pipeline RoBertaForSequenceClassification from jamesdborin
+author: John Snow Labs
+name: roberta_large_rte_jamesdborin_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.`roberta_large_rte_jamesdborin_pipeline` is a English model originally trained by jamesdborin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_rte_jamesdborin_pipeline_en_5.5.0_3.0_1725902721767.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_rte_jamesdborin_pipeline_en_5.5.0_3.0_1725902721767.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_rte_jamesdborin_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_rte_jamesdborin_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_rte_jamesdborin_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/jamesdborin/Roberta-Large-RTE
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ 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_de.md b/docs/_posts/ahmedlone127/2024-09-09-roberta_legal_german_cased_german_legal_squad_part_augmented_1000_de.md
new file mode 100644
index 00000000000000..895217c2766412
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-roberta_legal_german_cased_german_legal_squad_part_augmented_1000_de.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: German roberta_legal_german_cased_german_legal_squad_part_augmented_1000 RoBertaForQuestionAnswering from farid1088
+author: John Snow Labs
+name: roberta_legal_german_cased_german_legal_squad_part_augmented_1000
+date: 2024-09-09
+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.`roberta_legal_german_cased_german_legal_squad_part_augmented_1000` 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_de_5.5.0_3.0_1725867309591.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_de_5.5.0_3.0_1725867309591.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_ner_polygot_MT4TS|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|607.3 MB|
+
+## References
+
+References
+
+- https://huggingface.co/kevinjesse/polygot-MT4TS
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-roberta_ner_polygot_MT4TS_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-roberta_ner_polygot_MT4TS_pipeline_en.md
new file mode 100644
index 00000000000000..ed1ecbd6fe4965
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-roberta_ner_polygot_MT4TS_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_ner_polygot_MT4TS_pipeline pipeline RoBertaForTokenClassification from kevinjesse
+author: John Snow Labs
+name: roberta_ner_polygot_MT4TS_pipeline
+date: 2024-09-09
+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_polygot_MT4TS_pipeline` is a English model originally trained by kevinjesse.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_ner_polygot_MT4TS_pipeline_en_5.5.0_3.0_1725915663907.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_ner_polygot_MT4TS_pipeline_en_5.5.0_3.0_1725915663907.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_ner_polygot_MT4TS_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_ner_polygot_MT4TS_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_ner_polygot_MT4TS_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|607.3 MB|
+
+## References
+
+https://huggingface.co/kevinjesse/polygot-MT4TS
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-roberta_ner_roberta_large_tweetner_2020_selflabel2021_continuous_en.md b/docs/_posts/ahmedlone127/2024-09-09-roberta_ner_roberta_large_tweetner_2020_selflabel2021_continuous_en.md
new file mode 100644
index 00000000000000..a00b1247a13eb0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-roberta_ner_roberta_large_tweetner_2020_selflabel2021_continuous_en.md
@@ -0,0 +1,112 @@
+---
+layout: model
+title: English RobertaForTokenClassification Large Cased model (from tner)
+author: John Snow Labs
+name: roberta_ner_roberta_large_tweetner_2020_selflabel2021_continuous
+date: 2024-09-09
+tags: [bert, ner, open_source, en, onnx]
+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-tweetner-2020-selflabel2021-continuous` is a English model originally trained by `tner`.
+
+## Predicted Entities
+
+`group`, `creative_work`, `person`, `event`, `corporation`, `location`, `product`
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_ner_roberta_large_tweetner_2020_selflabel2021_continuous_en_5.5.0_3.0_1725916025192.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_ner_roberta_large_tweetner_2020_selflabel2021_continuous_en_5.5.0_3.0_1725916025192.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_ner_roberta_large_tweetner_2020_selflabel2021_continuous|
+|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
+
+References
+
+- https://huggingface.co/tner/roberta-large-tweetner-2020-selflabel2021-continuous
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-roberta_ner_roberta_large_tweetner_2020_selflabel2021_continuous_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-roberta_ner_roberta_large_tweetner_2020_selflabel2021_continuous_pipeline_en.md
new file mode 100644
index 00000000000000..40d208b63ec21f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-roberta_ner_roberta_large_tweetner_2020_selflabel2021_continuous_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_ner_roberta_large_tweetner_2020_selflabel2021_continuous_pipeline pipeline RoBertaForTokenClassification from tner
+author: John Snow Labs
+name: roberta_ner_roberta_large_tweetner_2020_selflabel2021_continuous_pipeline
+date: 2024-09-09
+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_roberta_large_tweetner_2020_selflabel2021_continuous_pipeline` is a English model originally trained by tner.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_ner_roberta_large_tweetner_2020_selflabel2021_continuous_pipeline_en_5.5.0_3.0_1725916088437.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_ner_roberta_large_tweetner_2020_selflabel2021_continuous_pipeline_en_5.5.0_3.0_1725916088437.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_ner_roberta_large_tweetner_2020_selflabel2021_continuous_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_ner_roberta_large_tweetner_2020_selflabel2021_continuous_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_ner_roberta_large_tweetner_2020_selflabel2021_continuous_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tner/roberta-large-tweetner-2020-selflabel2021-continuous
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-roberta_qa_fpdm_soup_model_squad2.0_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-roberta_qa_fpdm_soup_model_squad2.0_pipeline_en.md
new file mode 100644
index 00000000000000..cf4ac2aaa3374a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-roberta_qa_fpdm_soup_model_squad2.0_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_qa_fpdm_soup_model_squad2.0_pipeline pipeline RoBertaForQuestionAnswering from AnonymousSub
+author: John Snow Labs
+name: roberta_qa_fpdm_soup_model_squad2.0_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_fpdm_soup_model_squad2.0_pipeline` is a English model originally trained by AnonymousSub.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_qa_fpdm_soup_model_squad2.0_pipeline_en_5.5.0_3.0_1725866904694.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_qa_fpdm_soup_model_squad2.0_pipeline_en_5.5.0_3.0_1725866904694.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_qa_fpdm_soup_model_squad2.0_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_qa_fpdm_soup_model_squad2.0_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_qa_fpdm_soup_model_squad2.0_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|459.7 MB|
+
+## References
+
+https://huggingface.co/AnonymousSub/fpdm_roberta_soup_model_squad2.0
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-roberta_squad_finetuned_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-roberta_squad_finetuned_pipeline_en.md
new file mode 100644
index 00000000000000..764ef9715ede5b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-roberta_squad_finetuned_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_squad_finetuned_pipeline pipeline RoBertaForQuestionAnswering from mylas02
+author: John Snow Labs
+name: roberta_squad_finetuned_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_squad_finetuned_pipeline` is a English model originally trained by mylas02.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_squad_finetuned_pipeline_en_5.5.0_3.0_1725876388311.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_squad_finetuned_pipeline_en_5.5.0_3.0_1725876388311.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_squad_finetuned_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_squad_finetuned_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_squad_finetuned_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|461.9 MB|
+
+## References
+
+https://huggingface.co/mylas02/Roberta_SQuaD_FineTuned
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-robertamodel_en.md b/docs/_posts/ahmedlone127/2024-09-09-robertamodel_en.md
new file mode 100644
index 00000000000000..039b5c9c0b95c1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-robertamodel_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English robertamodel RoBertaForSequenceClassification from Yunij
+author: John Snow Labs
+name: robertamodel
+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.`robertamodel` is a English model originally trained by Yunij.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/robertamodel_en_5.5.0_3.0_1725920368580.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/robertamodel_en_5.5.0_3.0_1725920368580.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|robertamodel|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|464.9 MB|
+
+## References
+
+https://huggingface.co/Yunij/RobertaModel
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-routing_module_action_question_conversation_move_hack_debertav3_cls_en.md b/docs/_posts/ahmedlone127/2024-09-09-routing_module_action_question_conversation_move_hack_debertav3_cls_en.md
new file mode 100644
index 00000000000000..1fdf903fd957a4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-routing_module_action_question_conversation_move_hack_debertav3_cls_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English routing_module_action_question_conversation_move_hack_debertav3_cls DeBertaForSequenceClassification from Raffix
+author: John Snow Labs
+name: routing_module_action_question_conversation_move_hack_debertav3_cls
+date: 2024-09-09
+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.`routing_module_action_question_conversation_move_hack_debertav3_cls` is a English model originally trained by Raffix.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/routing_module_action_question_conversation_move_hack_debertav3_cls_en_5.5.0_3.0_1725858771463.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/routing_module_action_question_conversation_move_hack_debertav3_cls_en_5.5.0_3.0_1725858771463.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|routing_module_action_question_conversation_move_hack_debertav3_cls|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|574.3 MB|
+
+## References
+
+https://huggingface.co/Raffix/routing_module_action_question_conversation_move_hack_debertav3_cls
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-routing_module_action_question_conversation_move_hack_debertav3_cls_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-routing_module_action_question_conversation_move_hack_debertav3_cls_pipeline_en.md
new file mode 100644
index 00000000000000..f280af021a89d2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-routing_module_action_question_conversation_move_hack_debertav3_cls_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English routing_module_action_question_conversation_move_hack_debertav3_cls_pipeline pipeline DeBertaForSequenceClassification from Raffix
+author: John Snow Labs
+name: routing_module_action_question_conversation_move_hack_debertav3_cls_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 DeBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`routing_module_action_question_conversation_move_hack_debertav3_cls_pipeline` is a English model originally trained by Raffix.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/routing_module_action_question_conversation_move_hack_debertav3_cls_pipeline_en_5.5.0_3.0_1725858830207.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/routing_module_action_question_conversation_move_hack_debertav3_cls_pipeline_en_5.5.0_3.0_1725858830207.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("routing_module_action_question_conversation_move_hack_debertav3_cls_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("routing_module_action_question_conversation_move_hack_debertav3_cls_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|routing_module_action_question_conversation_move_hack_debertav3_cls_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|574.3 MB|
+
+## References
+
+https://huggingface.co/Raffix/routing_module_action_question_conversation_move_hack_debertav3_cls
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DeBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-rubert_large_squad_en.md b/docs/_posts/ahmedlone127/2024-09-09-rubert_large_squad_en.md
new file mode 100644
index 00000000000000..0de54a8d67dc26
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-rubert_large_squad_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English rubert_large_squad BertForQuestionAnswering from Den4ikAI
+author: John Snow Labs
+name: rubert_large_squad
+date: 2024-09-09
+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_large_squad` is a English model originally trained by Den4ikAI.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rubert_large_squad_en_5.5.0_3.0_1725858303613.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rubert_large_squad_en_5.5.0_3.0_1725858303613.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rubert_large_squad|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|667.1 MB|
+
+## References
+
+https://huggingface.co/Den4ikAI/rubert-large-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-rulebert_v0_4_k2_it.md b/docs/_posts/ahmedlone127/2024-09-09-rulebert_v0_4_k2_it.md
new file mode 100644
index 00000000000000..5dfa435373342f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-rulebert_v0_4_k2_it.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Italian rulebert_v0_4_k2 XlmRoBertaForSequenceClassification from ribesstefano
+author: John Snow Labs
+name: rulebert_v0_4_k2
+date: 2024-09-09
+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_4_k2` is a Italian model originally trained by ribesstefano.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rulebert_v0_4_k2_it_5.5.0_3.0_1725906573514.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rulebert_v0_4_k2_it_5.5.0_3.0_1725906573514.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ruroberta_distilled|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|ru|
+|Size:|432.0 MB|
+
+## References
+
+https://huggingface.co/d0rj/ruRoberta-distilled
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-sanskrit_saskta_roberta_e12_w1_1_5_b16_m4_en.md b/docs/_posts/ahmedlone127/2024-09-09-sanskrit_saskta_roberta_e12_w1_1_5_b16_m4_en.md
new file mode 100644
index 00000000000000..20a1c3dd3c6260
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-sanskrit_saskta_roberta_e12_w1_1_5_b16_m4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sanskrit_saskta_roberta_e12_w1_1_5_b16_m4 RoBertaForSequenceClassification from JerryYanJiang
+author: John Snow Labs
+name: sanskrit_saskta_roberta_e12_w1_1_5_b16_m4
+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.`sanskrit_saskta_roberta_e12_w1_1_5_b16_m4` is a English model originally trained by JerryYanJiang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sanskrit_saskta_roberta_e12_w1_1_5_b16_m4_en_5.5.0_3.0_1725912619570.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sanskrit_saskta_roberta_e12_w1_1_5_b16_m4_en_5.5.0_3.0_1725912619570.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sanskrit_saskta_roberta_e12_w1_1_5_b16_m4|
+|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/JerryYanJiang/SA-roberta-e12-w1-1.5-b16-m4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-sanskrit_saskta_roberta_e12_w1_1_5_b16_m4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-sanskrit_saskta_roberta_e12_w1_1_5_b16_m4_pipeline_en.md
new file mode 100644
index 00000000000000..fa99f316ee59e2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-sanskrit_saskta_roberta_e12_w1_1_5_b16_m4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sanskrit_saskta_roberta_e12_w1_1_5_b16_m4_pipeline pipeline RoBertaForSequenceClassification from JerryYanJiang
+author: John Snow Labs
+name: sanskrit_saskta_roberta_e12_w1_1_5_b16_m4_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.`sanskrit_saskta_roberta_e12_w1_1_5_b16_m4_pipeline` is a English model originally trained by JerryYanJiang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sanskrit_saskta_roberta_e12_w1_1_5_b16_m4_pipeline_en_5.5.0_3.0_1725912686497.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sanskrit_saskta_roberta_e12_w1_1_5_b16_m4_pipeline_en_5.5.0_3.0_1725912686497.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sanskrit_saskta_roberta_e12_w1_1_5_b16_m4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sanskrit_saskta_roberta_e12_w1_1_5_b16_m4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sanskrit_saskta_roberta_e12_w1_1_5_b16_m4_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-roberta-e12-w1-1.5-b16-m4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-sarcasm_detection_roberta_base_newdata_en.md b/docs/_posts/ahmedlone127/2024-09-09-sarcasm_detection_roberta_base_newdata_en.md
new file mode 100644
index 00000000000000..23100f4debb3db
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-sarcasm_detection_roberta_base_newdata_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sarcasm_detection_roberta_base_newdata RoBertaForSequenceClassification from jkhan447
+author: John Snow Labs
+name: sarcasm_detection_roberta_base_newdata
+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.`sarcasm_detection_roberta_base_newdata` is a English model originally trained by jkhan447.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sarcasm_detection_roberta_base_newdata_en_5.5.0_3.0_1725903097217.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sarcasm_detection_roberta_base_newdata_en_5.5.0_3.0_1725903097217.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_roberta_base_newdata|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|467.6 MB|
+
+## References
+
+https://huggingface.co/jkhan447/sarcasm-detection-RoBerta-base-newdata
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-sarcasm_detection_roberta_base_newdata_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-sarcasm_detection_roberta_base_newdata_pipeline_en.md
new file mode 100644
index 00000000000000..801e09ba0e4834
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-sarcasm_detection_roberta_base_newdata_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sarcasm_detection_roberta_base_newdata_pipeline pipeline RoBertaForSequenceClassification from jkhan447
+author: John Snow Labs
+name: sarcasm_detection_roberta_base_newdata_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.`sarcasm_detection_roberta_base_newdata_pipeline` is a English model originally trained by jkhan447.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sarcasm_detection_roberta_base_newdata_pipeline_en_5.5.0_3.0_1725903119127.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sarcasm_detection_roberta_base_newdata_pipeline_en_5.5.0_3.0_1725903119127.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sarcasm_detection_roberta_base_newdata_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sarcasm_detection_roberta_base_newdata_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sarcasm_detection_roberta_base_newdata_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|467.6 MB|
+
+## References
+
+https://huggingface.co/jkhan447/sarcasm-detection-RoBerta-base-newdata
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-scenario_tcr_4_data_english_cardiff_eng_only_en.md b/docs/_posts/ahmedlone127/2024-09-09-scenario_tcr_4_data_english_cardiff_eng_only_en.md
new file mode 100644
index 00000000000000..a30ff3181f2f99
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-scenario_tcr_4_data_english_cardiff_eng_only_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English scenario_tcr_4_data_english_cardiff_eng_only XlmRoBertaForSequenceClassification from haryoaw
+author: John Snow Labs
+name: scenario_tcr_4_data_english_cardiff_eng_only
+date: 2024-09-09
+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_tcr_4_data_english_cardiff_eng_only` is a English model originally trained by haryoaw.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/scenario_tcr_4_data_english_cardiff_eng_only_en_5.5.0_3.0_1725907683962.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/scenario_tcr_4_data_english_cardiff_eng_only_en_5.5.0_3.0_1725907683962.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|scenario_tcr_4_data_english_cardiff_eng_only|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|829.9 MB|
+
+## References
+
+https://huggingface.co/haryoaw/scenario-TCR-4_data-en-cardiff_eng_only
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-sentence_acceptability_en.md b/docs/_posts/ahmedlone127/2024-09-09-sentence_acceptability_en.md
new file mode 100644
index 00000000000000..ecce8a81882448
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-sentence_acceptability_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sentence_acceptability BertForSequenceClassification from EstherT
+author: John Snow Labs
+name: sentence_acceptability
+date: 2024-09-09
+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.`sentence_acceptability` is a English model originally trained by EstherT.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentence_acceptability_en_5.5.0_3.0_1725852912514.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentence_acceptability_en_5.5.0_3.0_1725852912514.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentence_acceptability|
+|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/EstherT/sentence-acceptability
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-sentiment_analysis_model_quophydzifa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-sentiment_analysis_model_quophydzifa_pipeline_en.md
new file mode 100644
index 00000000000000..ce8bdf2032c9bb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-sentiment_analysis_model_quophydzifa_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sentiment_analysis_model_quophydzifa_pipeline pipeline DistilBertForSequenceClassification from QuophyDzifa
+author: John Snow Labs
+name: sentiment_analysis_model_quophydzifa_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 DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_model_quophydzifa_pipeline` is a English model originally trained by QuophyDzifa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_model_quophydzifa_pipeline_en_5.5.0_3.0_1725872892489.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_model_quophydzifa_pipeline_en_5.5.0_3.0_1725872892489.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sentiment_analysis_model_quophydzifa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sentiment_analysis_model_quophydzifa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_analysis_model_quophydzifa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/QuophyDzifa/Sentiment-Analysis-Model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-sentiment_analysis_twitter_roberta_fine_tune_hashtag_removed_en.md b/docs/_posts/ahmedlone127/2024-09-09-sentiment_analysis_twitter_roberta_fine_tune_hashtag_removed_en.md
new file mode 100644
index 00000000000000..44e0e86a503f1a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-sentiment_analysis_twitter_roberta_fine_tune_hashtag_removed_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sentiment_analysis_twitter_roberta_fine_tune_hashtag_removed RoBertaForSequenceClassification from technocrat3128
+author: John Snow Labs
+name: sentiment_analysis_twitter_roberta_fine_tune_hashtag_removed
+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.`sentiment_analysis_twitter_roberta_fine_tune_hashtag_removed` 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_en_5.5.0_3.0_1725903839066.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_en_5.5.0_3.0_1725903839066.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_twitter_roberta_fine_tune_hashtag_removed|
+|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/technocrat3128/sentiment_analysis_Twitter_roberta_fine_tune_hashtag_removed
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-sentiment_sentiment_small_random0_seed2_twitter_roberta_base_2022_154m_en.md b/docs/_posts/ahmedlone127/2024-09-09-sentiment_sentiment_small_random0_seed2_twitter_roberta_base_2022_154m_en.md
new file mode 100644
index 00000000000000..6d0d9cedf5d2fa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-sentiment_sentiment_small_random0_seed2_twitter_roberta_base_2022_154m_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sentiment_sentiment_small_random0_seed2_twitter_roberta_base_2022_154m RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: sentiment_sentiment_small_random0_seed2_twitter_roberta_base_2022_154m
+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.`sentiment_sentiment_small_random0_seed2_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/sentiment_sentiment_small_random0_seed2_twitter_roberta_base_2022_154m_en_5.5.0_3.0_1725912143899.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_sentiment_small_random0_seed2_twitter_roberta_base_2022_154m_en_5.5.0_3.0_1725912143899.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_bhathiya|
+|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/Bhathiya/setfit-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-setfit_model_independence_labelfaithful_epochs2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-setfit_model_independence_labelfaithful_epochs2_pipeline_en.md
new file mode 100644
index 00000000000000..873ec61dcb37d1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-setfit_model_independence_labelfaithful_epochs2_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English setfit_model_independence_labelfaithful_epochs2_pipeline pipeline MPNetEmbeddings from mitra-mir
+author: John Snow Labs
+name: setfit_model_independence_labelfaithful_epochs2_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 MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`setfit_model_independence_labelfaithful_epochs2_pipeline` is a English model originally trained by mitra-mir.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/setfit_model_independence_labelfaithful_epochs2_pipeline_en_5.5.0_3.0_1725874538149.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/setfit_model_independence_labelfaithful_epochs2_pipeline_en_5.5.0_3.0_1725874538149.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("setfit_model_independence_labelfaithful_epochs2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("setfit_model_independence_labelfaithful_epochs2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|setfit_model_independence_labelfaithful_epochs2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/mitra-mir/setfit_model_Independence_labelfaithful_epochs2
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-setfit_model_ireland_4labels_unbalanced_data_2epochs_en.md b/docs/_posts/ahmedlone127/2024-09-09-setfit_model_ireland_4labels_unbalanced_data_2epochs_en.md
new file mode 100644
index 00000000000000..bb9a2936e49c26
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-setfit_model_ireland_4labels_unbalanced_data_2epochs_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English setfit_model_ireland_4labels_unbalanced_data_2epochs MPNetEmbeddings from mitra-mir
+author: John Snow Labs
+name: setfit_model_ireland_4labels_unbalanced_data_2epochs
+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.`setfit_model_ireland_4labels_unbalanced_data_2epochs` is a English model originally trained by mitra-mir.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/setfit_model_ireland_4labels_unbalanced_data_2epochs_en_5.5.0_3.0_1725897238532.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/setfit_model_ireland_4labels_unbalanced_data_2epochs_en_5.5.0_3.0_1725897238532.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_4labels_unbalanced_data_2epochs|
+|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_4labels_unbalanced_data_2epochs
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-setfit_model_ireland_binary_label0_epochs2_feb_28_2023_en.md b/docs/_posts/ahmedlone127/2024-09-09-setfit_model_ireland_binary_label0_epochs2_feb_28_2023_en.md
new file mode 100644
index 00000000000000..28b9a75daf0506
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-setfit_model_ireland_binary_label0_epochs2_feb_28_2023_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English setfit_model_ireland_binary_label0_epochs2_feb_28_2023 MPNetEmbeddings from mitra-mir
+author: John Snow Labs
+name: setfit_model_ireland_binary_label0_epochs2_feb_28_2023
+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.`setfit_model_ireland_binary_label0_epochs2_feb_28_2023` 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_label0_epochs2_feb_28_2023_en_5.5.0_3.0_1725896546945.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/setfit_model_ireland_binary_label0_epochs2_feb_28_2023_en_5.5.0_3.0_1725896546945.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_label0_epochs2_feb_28_2023|
+|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_label0_epochs2_Feb_28_2023
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-setfit_model_misinformation_on_media_traditional_social_en.md b/docs/_posts/ahmedlone127/2024-09-09-setfit_model_misinformation_on_media_traditional_social_en.md
new file mode 100644
index 00000000000000..a1247d4296c734
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-setfit_model_misinformation_on_media_traditional_social_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English setfit_model_misinformation_on_media_traditional_social MPNetEmbeddings from mitra-mir
+author: John Snow Labs
+name: setfit_model_misinformation_on_media_traditional_social
+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.`setfit_model_misinformation_on_media_traditional_social` is a English model originally trained by mitra-mir.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/setfit_model_misinformation_on_media_traditional_social_en_5.5.0_3.0_1725874780927.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/setfit_model_misinformation_on_media_traditional_social_en_5.5.0_3.0_1725874780927.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_misinformation_on_media_traditional_social|
+|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-Misinformation-on-Media-Traditional-Social
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-setfit_product_review_regression_en.md b/docs/_posts/ahmedlone127/2024-09-09-setfit_product_review_regression_en.md
new file mode 100644
index 00000000000000..ca62a30d6fc40d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-setfit_product_review_regression_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English setfit_product_review_regression MPNetEmbeddings from ivanzidov
+author: John Snow Labs
+name: setfit_product_review_regression
+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.`setfit_product_review_regression` is a English model originally trained by ivanzidov.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/setfit_product_review_regression_en_5.5.0_3.0_1725896405090.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/setfit_product_review_regression_en_5.5.0_3.0_1725896405090.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sinberto|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|si|
+|Size:|308.4 MB|
+
+## References
+
+https://huggingface.co/Kalindu/SinBerto
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-single_label_unbiased_relevant_profession_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-single_label_unbiased_relevant_profession_pipeline_en.md
new file mode 100644
index 00000000000000..7fb0018a321bce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-single_label_unbiased_relevant_profession_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English single_label_unbiased_relevant_profession_pipeline pipeline XlmRoBertaForSequenceClassification from ledigajobb
+author: John Snow Labs
+name: single_label_unbiased_relevant_profession_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.`single_label_unbiased_relevant_profession_pipeline` is a English model originally trained by ledigajobb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/single_label_unbiased_relevant_profession_pipeline_en_5.5.0_3.0_1725906965712.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/single_label_unbiased_relevant_profession_pipeline_en_5.5.0_3.0_1725906965712.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("single_label_unbiased_relevant_profession_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("single_label_unbiased_relevant_profession_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|single_label_unbiased_relevant_profession_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|881.8 MB|
+
+## References
+
+https://huggingface.co/ledigajobb/single_label_unbiased_relevant_profession
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-small_8_c_pipeline_mr.md b/docs/_posts/ahmedlone127/2024-09-09-small_8_c_pipeline_mr.md
new file mode 100644
index 00000000000000..a8976a48d667cc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-small_8_c_pipeline_mr.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Marathi small_8_c_pipeline pipeline WhisperForCTC from simran14
+author: John Snow Labs
+name: small_8_c_pipeline
+date: 2024-09-09
+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.`small_8_c_pipeline` is a Marathi model originally trained by simran14.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_8_c_pipeline_mr_5.5.0_3.0_1725847951644.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_8_c_pipeline_mr_5.5.0_3.0_1725847951644.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("small_8_c_pipeline", lang = "mr")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("small_8_c_pipeline", lang = "mr")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|small_8_c_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/small_8_c
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-southern_sotho_all_mpnet_finetuned_arabic_2481_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-southern_sotho_all_mpnet_finetuned_arabic_2481_pipeline_en.md
new file mode 100644
index 00000000000000..da61e4b816f370
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-southern_sotho_all_mpnet_finetuned_arabic_2481_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English southern_sotho_all_mpnet_finetuned_arabic_2481_pipeline pipeline MPNetEmbeddings from danfeg
+author: John Snow Labs
+name: southern_sotho_all_mpnet_finetuned_arabic_2481_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 MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`southern_sotho_all_mpnet_finetuned_arabic_2481_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_arabic_2481_pipeline_en_5.5.0_3.0_1725875142239.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/southern_sotho_all_mpnet_finetuned_arabic_2481_pipeline_en_5.5.0_3.0_1725875142239.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_arabic_2481_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("southern_sotho_all_mpnet_finetuned_arabic_2481_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|southern_sotho_all_mpnet_finetuned_arabic_2481_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/danfeg/ST-ALL-MPNET_Finetuned-AR-2481
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-spanish_catalan_en.md b/docs/_posts/ahmedlone127/2024-09-09-spanish_catalan_en.md
new file mode 100644
index 00000000000000..03d1aff31ee7bc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-spanish_catalan_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English spanish_catalan MarianTransformer from Ife
+author: John Snow Labs
+name: spanish_catalan
+date: 2024-09-09
+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.`spanish_catalan` is a English model originally trained by Ife.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/spanish_catalan_en_5.5.0_3.0_1725863281968.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/spanish_catalan_en_5.5.0_3.0_1725863281968.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|spanish_catalan|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|466.2 MB|
+
+## References
+
+https://huggingface.co/Ife/ES-CA
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-spanish_spanglish_en.md b/docs/_posts/ahmedlone127/2024-09-09-spanish_spanglish_en.md
new file mode 100644
index 00000000000000..86797489fc0006
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-spanish_spanglish_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English spanish_spanglish MarianTransformer from drewcurran
+author: John Snow Labs
+name: spanish_spanglish
+date: 2024-09-09
+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.`spanish_spanglish` is a English model originally trained by drewcurran.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/spanish_spanglish_en_5.5.0_3.0_1725913611896.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/spanish_spanglish_en_5.5.0_3.0_1725913611896.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|spanish_spanglish|
+|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/drewcurran/spanish-spanglish
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-spea_4_en.md b/docs/_posts/ahmedlone127/2024-09-09-spea_4_en.md
new file mode 100644
index 00000000000000..a56a89b38eed01
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-spea_4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English spea_4 RoBertaForSequenceClassification from BaronSch
+author: John Snow Labs
+name: spea_4
+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.`spea_4` is a English model originally trained by BaronSch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/spea_4_en_5.5.0_3.0_1725902359785.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/spea_4_en_5.5.0_3.0_1725902359785.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|spea_4|
+|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_4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-squad_qa_model_horyekhunley_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-squad_qa_model_horyekhunley_pipeline_en.md
new file mode 100644
index 00000000000000..5319b98cef7b9e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-squad_qa_model_horyekhunley_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English squad_qa_model_horyekhunley_pipeline pipeline DistilBertForQuestionAnswering from horyekhunley
+author: John Snow Labs
+name: squad_qa_model_horyekhunley_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.`squad_qa_model_horyekhunley_pipeline` is a English model originally trained by horyekhunley.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/squad_qa_model_horyekhunley_pipeline_en_5.5.0_3.0_1725876979952.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/squad_qa_model_horyekhunley_pipeline_en_5.5.0_3.0_1725876979952.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("squad_qa_model_horyekhunley_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("squad_qa_model_horyekhunley_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|squad_qa_model_horyekhunley_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/horyekhunley/squad_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-task_subtle_task__model_deberta__aug_method_rsa_en.md b/docs/_posts/ahmedlone127/2024-09-09-task_subtle_task__model_deberta__aug_method_rsa_en.md
new file mode 100644
index 00000000000000..42a6c573529112
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-task_subtle_task__model_deberta__aug_method_rsa_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English task_subtle_task__model_deberta__aug_method_rsa DeBertaForSequenceClassification from BenjaminOcampo
+author: John Snow Labs
+name: task_subtle_task__model_deberta__aug_method_rsa
+date: 2024-09-09
+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.`task_subtle_task__model_deberta__aug_method_rsa` is a English model originally trained by BenjaminOcampo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/task_subtle_task__model_deberta__aug_method_rsa_en_5.5.0_3.0_1725859901966.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/task_subtle_task__model_deberta__aug_method_rsa_en_5.5.0_3.0_1725859901966.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|task_subtle_task__model_deberta__aug_method_rsa|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|607.5 MB|
+
+## References
+
+https://huggingface.co/BenjaminOcampo/task-subtle_task__model-deberta__aug_method-rsa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-task_subtle_task__model_deberta__aug_method_rsa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-task_subtle_task__model_deberta__aug_method_rsa_pipeline_en.md
new file mode 100644
index 00000000000000..99c2f4f6b1d44d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-task_subtle_task__model_deberta__aug_method_rsa_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English task_subtle_task__model_deberta__aug_method_rsa_pipeline pipeline DeBertaForSequenceClassification from BenjaminOcampo
+author: John Snow Labs
+name: task_subtle_task__model_deberta__aug_method_rsa_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 DeBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`task_subtle_task__model_deberta__aug_method_rsa_pipeline` is a English model originally trained by BenjaminOcampo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/task_subtle_task__model_deberta__aug_method_rsa_pipeline_en_5.5.0_3.0_1725859937186.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/task_subtle_task__model_deberta__aug_method_rsa_pipeline_en_5.5.0_3.0_1725859937186.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("task_subtle_task__model_deberta__aug_method_rsa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("task_subtle_task__model_deberta__aug_method_rsa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|task_subtle_task__model_deberta__aug_method_rsa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|607.5 MB|
+
+## References
+
+https://huggingface.co/BenjaminOcampo/task-subtle_task__model-deberta__aug_method-rsa
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DeBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-tat_model_en.md b/docs/_posts/ahmedlone127/2024-09-09-tat_model_en.md
new file mode 100644
index 00000000000000..174356db6c63a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-tat_model_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English tat_model MPNetEmbeddings from mathislucka
+author: John Snow Labs
+name: tat_model
+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.`tat_model` is a English model originally trained by mathislucka.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tat_model_en_5.5.0_3.0_1725896812362.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tat_model_en_5.5.0_3.0_1725896812362.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tat_model|
+|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/mathislucka/tat-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-team4_adr_detector_en.md b/docs/_posts/ahmedlone127/2024-09-09-team4_adr_detector_en.md
new file mode 100644
index 00000000000000..e24835fa7fddfb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-team4_adr_detector_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English team4_adr_detector RoBertaForSequenceClassification from MSBATeam4
+author: John Snow Labs
+name: team4_adr_detector
+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.`team4_adr_detector` is a English model originally trained by MSBATeam4.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/team4_adr_detector_en_5.5.0_3.0_1725920549742.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/team4_adr_detector_en_5.5.0_3.0_1725920549742.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|team4_adr_detector|
+|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/MSBATeam4/Team4_ADR_Detector
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-temp_model_en.md b/docs/_posts/ahmedlone127/2024-09-09-temp_model_en.md
new file mode 100644
index 00000000000000..06bba467e80aaf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-temp_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English temp_model RoBertaForSequenceClassification from gsdas
+author: John Snow Labs
+name: temp_model
+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.`temp_model` is a English model originally trained by gsdas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/temp_model_en_5.5.0_3.0_1725912509502.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/temp_model_en_5.5.0_3.0_1725912509502.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|temp_model|
+|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/gsdas/temp_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-temp_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-temp_model_pipeline_en.md
new file mode 100644
index 00000000000000..58be4ebf08bd5c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-temp_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English temp_model_pipeline pipeline RoBertaForSequenceClassification from gsdas
+author: John Snow Labs
+name: temp_model_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.`temp_model_pipeline` is a English model originally trained by gsdas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/temp_model_pipeline_en_5.5.0_3.0_1725912587967.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/temp_model_pipeline_en_5.5.0_3.0_1725912587967.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("temp_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("temp_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|temp_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/gsdas/temp_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-test_model_tianyi_zhang_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-test_model_tianyi_zhang_pipeline_en.md
new file mode 100644
index 00000000000000..b91ac71f2d44ae
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-test_model_tianyi_zhang_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English test_model_tianyi_zhang_pipeline pipeline DistilBertForSequenceClassification from Tianyi-Zhang
+author: John Snow Labs
+name: test_model_tianyi_zhang_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 DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_model_tianyi_zhang_pipeline` is a English model originally trained by Tianyi-Zhang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_model_tianyi_zhang_pipeline_en_5.5.0_3.0_1725873280803.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_model_tianyi_zhang_pipeline_en_5.5.0_3.0_1725873280803.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("test_model_tianyi_zhang_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("test_model_tianyi_zhang_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_model_tianyi_zhang_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Tianyi-Zhang/test_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-test_robeta_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-test_robeta_pipeline_en.md
new file mode 100644
index 00000000000000..1ad032df413154
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-test_robeta_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English test_robeta_pipeline pipeline RoBertaEmbeddings from AndrewYan
+author: John Snow Labs
+name: test_robeta_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.`test_robeta_pipeline` is a English model originally trained by AndrewYan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_robeta_pipeline_en_5.5.0_3.0_1725860701159.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_robeta_pipeline_en_5.5.0_3.0_1725860701159.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("test_robeta_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("test_robeta_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_robeta_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|298.2 MB|
+
+## References
+
+https://huggingface.co/AndrewYan/test_robeta
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-testest_ar.md b/docs/_posts/ahmedlone127/2024-09-09-testest_ar.md
new file mode 100644
index 00000000000000..372c05959b406d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-testest_ar.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Arabic testest MarianTransformer from wingo-dz
+author: John Snow Labs
+name: testest
+date: 2024-09-09
+tags: [ar, open_source, onnx, translation, marian]
+task: Translation
+language: ar
+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.`testest` is a Arabic model originally trained by wingo-dz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/testest_ar_5.5.0_3.0_1725913653098.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/testest_ar_5.5.0_3.0_1725913653098.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|testest|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|ar|
+|Size:|527.3 MB|
+
+## References
+
+https://huggingface.co/wingo-dz/testest
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-testest_pipeline_ar.md b/docs/_posts/ahmedlone127/2024-09-09-testest_pipeline_ar.md
new file mode 100644
index 00000000000000..7499dff9e77606
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-testest_pipeline_ar.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Arabic testest_pipeline pipeline MarianTransformer from wingo-dz
+author: John Snow Labs
+name: testest_pipeline
+date: 2024-09-09
+tags: [ar, open_source, pipeline, onnx]
+task: Translation
+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 MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`testest_pipeline` is a Arabic model originally trained by wingo-dz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/testest_pipeline_ar_5.5.0_3.0_1725913679049.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/testest_pipeline_ar_5.5.0_3.0_1725913679049.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("testest_pipeline", lang = "ar")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("testest_pipeline", lang = "ar")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|testest_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ar|
+|Size:|527.9 MB|
+
+## References
+
+https://huggingface.co/wingo-dz/testest
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-textfooler_roberta_base_rte_5_en.md b/docs/_posts/ahmedlone127/2024-09-09-textfooler_roberta_base_rte_5_en.md
new file mode 100644
index 00000000000000..3e920ce2989157
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-textfooler_roberta_base_rte_5_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English textfooler_roberta_base_rte_5 RoBertaForSequenceClassification from korca
+author: John Snow Labs
+name: textfooler_roberta_base_rte_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.`textfooler_roberta_base_rte_5` is a English model originally trained by korca.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/textfooler_roberta_base_rte_5_en_5.5.0_3.0_1725911635175.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/textfooler_roberta_base_rte_5_en_5.5.0_3.0_1725911635175.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|textfooler_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:|449.2 MB|
+
+## References
+
+https://huggingface.co/korca/textfooler-roberta-base-rte-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-textfooler_roberta_base_rte_5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-textfooler_roberta_base_rte_5_pipeline_en.md
new file mode 100644
index 00000000000000..2adfb2e49a79a4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-textfooler_roberta_base_rte_5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English textfooler_roberta_base_rte_5_pipeline pipeline RoBertaForSequenceClassification from korca
+author: John Snow Labs
+name: textfooler_roberta_base_rte_5_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.`textfooler_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/textfooler_roberta_base_rte_5_pipeline_en_5.5.0_3.0_1725911660823.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/textfooler_roberta_base_rte_5_pipeline_en_5.5.0_3.0_1725911660823.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("textfooler_roberta_base_rte_5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("textfooler_roberta_base_rte_5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|textfooler_roberta_base_rte_5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|449.2 MB|
+
+## References
+
+https://huggingface.co/korca/textfooler-roberta-base-rte-5
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-tinybert_emotion_balanced_en.md b/docs/_posts/ahmedlone127/2024-09-09-tinybert_emotion_balanced_en.md
new file mode 100644
index 00000000000000..9133b48ef762ef
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-tinybert_emotion_balanced_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English tinybert_emotion_balanced BertForSequenceClassification from AdamCodd
+author: John Snow Labs
+name: tinybert_emotion_balanced
+date: 2024-09-09
+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.`tinybert_emotion_balanced` is a English model originally trained by AdamCodd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tinybert_emotion_balanced_en_5.5.0_3.0_1725900102797.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tinybert_emotion_balanced_en_5.5.0_3.0_1725900102797.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tinybert_emotion_balanced|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|16.7 MB|
+
+## References
+
+https://huggingface.co/AdamCodd/tinybert-emotion-balanced
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-tinybert_emotion_balanced_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-tinybert_emotion_balanced_pipeline_en.md
new file mode 100644
index 00000000000000..97903faeba3d4d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-tinybert_emotion_balanced_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English tinybert_emotion_balanced_pipeline pipeline BertForSequenceClassification from AdamCodd
+author: John Snow Labs
+name: tinybert_emotion_balanced_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.`tinybert_emotion_balanced_pipeline` is a English model originally trained by AdamCodd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tinybert_emotion_balanced_pipeline_en_5.5.0_3.0_1725900104061.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tinybert_emotion_balanced_pipeline_en_5.5.0_3.0_1725900104061.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tinybert_emotion_balanced_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tinybert_emotion_balanced_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tinybert_emotion_balanced_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|16.8 MB|
+
+## References
+
+https://huggingface.co/AdamCodd/tinybert-emotion-balanced
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-tinybert_sst2_en.md b/docs/_posts/ahmedlone127/2024-09-09-tinybert_sst2_en.md
new file mode 100644
index 00000000000000..bdc1dbdda63b6f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-tinybert_sst2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English tinybert_sst2 BertForSequenceClassification from Vishnou
+author: John Snow Labs
+name: tinybert_sst2
+date: 2024-09-09
+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.`tinybert_sst2` is a English model originally trained by Vishnou.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tinybert_sst2_en_5.5.0_3.0_1725856775547.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tinybert_sst2_en_5.5.0_3.0_1725856775547.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tinybert_sst2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|54.2 MB|
+
+## References
+
+https://huggingface.co/Vishnou/TinyBERT_SST2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-tmp_trainer_juncodh_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-tmp_trainer_juncodh_pipeline_en.md
new file mode 100644
index 00000000000000..e5b9ade3c2a94d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-tmp_trainer_juncodh_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English tmp_trainer_juncodh_pipeline pipeline RoBertaForQuestionAnswering from Juncodh
+author: John Snow Labs
+name: tmp_trainer_juncodh_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.`tmp_trainer_juncodh_pipeline` is a English model originally trained by Juncodh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tmp_trainer_juncodh_pipeline_en_5.5.0_3.0_1725876575691.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tmp_trainer_juncodh_pipeline_en_5.5.0_3.0_1725876575691.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tmp_trainer_juncodh_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tmp_trainer_juncodh_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tmp_trainer_juncodh_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.2 MB|
+
+## References
+
+https://huggingface.co/Juncodh/tmp_trainer
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-topic_antitrust_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-topic_antitrust_pipeline_en.md
new file mode 100644
index 00000000000000..246eac8d2f68c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-topic_antitrust_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English topic_antitrust_pipeline pipeline RoBertaForSequenceClassification from dell-research-harvard
+author: John Snow Labs
+name: topic_antitrust_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.`topic_antitrust_pipeline` is a English model originally trained by dell-research-harvard.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/topic_antitrust_pipeline_en_5.5.0_3.0_1725904492877.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/topic_antitrust_pipeline_en_5.5.0_3.0_1725904492877.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("topic_antitrust_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("topic_antitrust_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|topic_antitrust_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/dell-research-harvard/topic-antitrust
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-topic_topic_random0_seed2_twitter_roberta_base_dec2020_en.md b/docs/_posts/ahmedlone127/2024-09-09-topic_topic_random0_seed2_twitter_roberta_base_dec2020_en.md
new file mode 100644
index 00000000000000..4826ed102fdc2c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-topic_topic_random0_seed2_twitter_roberta_base_dec2020_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English topic_topic_random0_seed2_twitter_roberta_base_dec2020 RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: topic_topic_random0_seed2_twitter_roberta_base_dec2020
+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.`topic_topic_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/topic_topic_random0_seed2_twitter_roberta_base_dec2020_en_5.5.0_3.0_1725904501962.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/topic_topic_random0_seed2_twitter_roberta_base_dec2020_en_5.5.0_3.0_1725904501962.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_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:|468.4 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/topic-topic_random0_seed2-twitter-roberta-base-dec2020
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-topic_topic_random0_seed2_twitter_roberta_base_dec2020_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-topic_topic_random0_seed2_twitter_roberta_base_dec2020_pipeline_en.md
new file mode 100644
index 00000000000000..e5862db29857d6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-topic_topic_random0_seed2_twitter_roberta_base_dec2020_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English topic_topic_random0_seed2_twitter_roberta_base_dec2020_pipeline pipeline RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: topic_topic_random0_seed2_twitter_roberta_base_dec2020_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.`topic_topic_random0_seed2_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/topic_topic_random0_seed2_twitter_roberta_base_dec2020_pipeline_en_5.5.0_3.0_1725904527867.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/topic_topic_random0_seed2_twitter_roberta_base_dec2020_pipeline_en_5.5.0_3.0_1725904527867.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("topic_topic_random0_seed2_twitter_roberta_base_dec2020_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("topic_topic_random0_seed2_twitter_roberta_base_dec2020_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|topic_topic_random0_seed2_twitter_roberta_base_dec2020_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.4 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/topic-topic_random0_seed2-twitter-roberta-base-dec2020
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-topic_topic_random2_seed0_bertweet_large_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-topic_topic_random2_seed0_bertweet_large_pipeline_en.md
new file mode 100644
index 00000000000000..4d7d2499e0384a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-topic_topic_random2_seed0_bertweet_large_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English topic_topic_random2_seed0_bertweet_large_pipeline pipeline RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: topic_topic_random2_seed0_bertweet_large_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.`topic_topic_random2_seed0_bertweet_large_pipeline` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/topic_topic_random2_seed0_bertweet_large_pipeline_en_5.5.0_3.0_1725911686300.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/topic_topic_random2_seed0_bertweet_large_pipeline_en_5.5.0_3.0_1725911686300.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("topic_topic_random2_seed0_bertweet_large_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("topic_topic_random2_seed0_bertweet_large_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|topic_topic_random2_seed0_bertweet_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/topic-topic_random2_seed0-bertweet-large
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-trans_encoder_cross_simcse_roberta_base_en.md b/docs/_posts/ahmedlone127/2024-09-09-trans_encoder_cross_simcse_roberta_base_en.md
new file mode 100644
index 00000000000000..addd0bf4713871
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-trans_encoder_cross_simcse_roberta_base_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English trans_encoder_cross_simcse_roberta_base RoBertaForSequenceClassification from cambridgeltl
+author: John Snow Labs
+name: trans_encoder_cross_simcse_roberta_base
+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.`trans_encoder_cross_simcse_roberta_base` is a English model originally trained by cambridgeltl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/trans_encoder_cross_simcse_roberta_base_en_5.5.0_3.0_1725904464990.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/trans_encoder_cross_simcse_roberta_base_en_5.5.0_3.0_1725904464990.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|trans_encoder_cross_simcse_roberta_base|
+|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/cambridgeltl/trans-encoder-cross-simcse-roberta-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-trans_encoder_cross_simcse_roberta_base_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-trans_encoder_cross_simcse_roberta_base_pipeline_en.md
new file mode 100644
index 00000000000000..3aa28ee7c05371
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-trans_encoder_cross_simcse_roberta_base_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English trans_encoder_cross_simcse_roberta_base_pipeline pipeline RoBertaForSequenceClassification from cambridgeltl
+author: John Snow Labs
+name: trans_encoder_cross_simcse_roberta_base_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.`trans_encoder_cross_simcse_roberta_base_pipeline` is a English model originally trained by cambridgeltl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/trans_encoder_cross_simcse_roberta_base_pipeline_en_5.5.0_3.0_1725904489811.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/trans_encoder_cross_simcse_roberta_base_pipeline_en_5.5.0_3.0_1725904489811.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("trans_encoder_cross_simcse_roberta_base_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("trans_encoder_cross_simcse_roberta_base_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|trans_encoder_cross_simcse_roberta_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|456.2 MB|
+
+## References
+
+https://huggingface.co/cambridgeltl/trans-encoder-cross-simcse-roberta-base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-translation_english_lug_v4_en.md b/docs/_posts/ahmedlone127/2024-09-09-translation_english_lug_v4_en.md
new file mode 100644
index 00000000000000..636833060ee202
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-translation_english_lug_v4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English translation_english_lug_v4 MarianTransformer from atwine
+author: John Snow Labs
+name: translation_english_lug_v4
+date: 2024-09-09
+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.`translation_english_lug_v4` is a English model originally trained by atwine.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/translation_english_lug_v4_en_5.5.0_3.0_1725914167757.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/translation_english_lug_v4_en_5.5.0_3.0_1725914167757.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|translation_english_lug_v4|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|513.3 MB|
+
+## References
+
+https://huggingface.co/atwine/translation-en-lug-v4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-translation_english_lug_v4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-translation_english_lug_v4_pipeline_en.md
new file mode 100644
index 00000000000000..415b91d67ec20f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-translation_english_lug_v4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English translation_english_lug_v4_pipeline pipeline MarianTransformer from atwine
+author: John Snow Labs
+name: translation_english_lug_v4_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.`translation_english_lug_v4_pipeline` is a English model originally trained by atwine.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/translation_english_lug_v4_pipeline_en_5.5.0_3.0_1725914193571.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/translation_english_lug_v4_pipeline_en_5.5.0_3.0_1725914193571.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("translation_english_lug_v4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("translation_english_lug_v4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|translation_english_lug_v4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|513.9 MB|
+
+## References
+
+https://huggingface.co/atwine/translation-en-lug-v4
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-translation_english_lug_v5_en.md b/docs/_posts/ahmedlone127/2024-09-09-translation_english_lug_v5_en.md
new file mode 100644
index 00000000000000..cdaa0b0d129fd9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-translation_english_lug_v5_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English translation_english_lug_v5 MarianTransformer from atwine
+author: John Snow Labs
+name: translation_english_lug_v5
+date: 2024-09-09
+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.`translation_english_lug_v5` is a English model originally trained by atwine.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/translation_english_lug_v5_en_5.5.0_3.0_1725913122157.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/translation_english_lug_v5_en_5.5.0_3.0_1725913122157.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|translation_english_lug_v5|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|513.3 MB|
+
+## References
+
+https://huggingface.co/atwine/translation-en-lug-v5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-translation_english_lug_v5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-translation_english_lug_v5_pipeline_en.md
new file mode 100644
index 00000000000000..eb44e2186157a1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-translation_english_lug_v5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English translation_english_lug_v5_pipeline pipeline MarianTransformer from atwine
+author: John Snow Labs
+name: translation_english_lug_v5_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.`translation_english_lug_v5_pipeline` is a English model originally trained by atwine.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/translation_english_lug_v5_pipeline_en_5.5.0_3.0_1725913147940.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/translation_english_lug_v5_pipeline_en_5.5.0_3.0_1725913147940.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("translation_english_lug_v5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("translation_english_lug_v5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|translation_english_lug_v5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|513.9 MB|
+
+## References
+
+https://huggingface.co/atwine/translation-en-lug-v5
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-translation_model_english_korean_en.md b/docs/_posts/ahmedlone127/2024-09-09-translation_model_english_korean_en.md
new file mode 100644
index 00000000000000..d158ea5ebb320b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-translation_model_english_korean_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English translation_model_english_korean MarianTransformer from pellucid
+author: John Snow Labs
+name: translation_model_english_korean
+date: 2024-09-09
+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.`translation_model_english_korean` is a English model originally trained by pellucid.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/translation_model_english_korean_en_5.5.0_3.0_1725913139130.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/translation_model_english_korean_en_5.5.0_3.0_1725913139130.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|translation_model_english_korean|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/pellucid/translation_model_en_ko
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-trial_model_debasmita_en.md b/docs/_posts/ahmedlone127/2024-09-09-trial_model_debasmita_en.md
new file mode 100644
index 00000000000000..fd6d1b37ddd09f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-trial_model_debasmita_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English trial_model_debasmita RoBertaForSequenceClassification from debasmita
+author: John Snow Labs
+name: trial_model_debasmita
+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.`trial_model_debasmita` is a English model originally trained by debasmita.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/trial_model_debasmita_en_5.5.0_3.0_1725903682475.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/trial_model_debasmita_en_5.5.0_3.0_1725903682475.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|trial_model_debasmita|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|416.3 MB|
+
+## References
+
+https://huggingface.co/debasmita/trial-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-twitter_roberta_base_efl_hateval_en.md b/docs/_posts/ahmedlone127/2024-09-09-twitter_roberta_base_efl_hateval_en.md
new file mode 100644
index 00000000000000..e162fc16e6e3ed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-twitter_roberta_base_efl_hateval_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English twitter_roberta_base_efl_hateval RoBertaForSequenceClassification from ChrisZeng
+author: John Snow Labs
+name: twitter_roberta_base_efl_hateval
+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.`twitter_roberta_base_efl_hateval` is a English model originally trained by ChrisZeng.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_efl_hateval_en_5.5.0_3.0_1725911286326.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_efl_hateval_en_5.5.0_3.0_1725911286326.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_efl_hateval|
+|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/ChrisZeng/twitter-roberta-base-efl-hateval
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-twitter_roberta_base_efl_hateval_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-twitter_roberta_base_efl_hateval_pipeline_en.md
new file mode 100644
index 00000000000000..5d5ca8d5224c59
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-twitter_roberta_base_efl_hateval_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English twitter_roberta_base_efl_hateval_pipeline pipeline RoBertaForSequenceClassification from ChrisZeng
+author: John Snow Labs
+name: twitter_roberta_base_efl_hateval_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.`twitter_roberta_base_efl_hateval_pipeline` is a English model originally trained by ChrisZeng.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_efl_hateval_pipeline_en_5.5.0_3.0_1725911310275.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_efl_hateval_pipeline_en_5.5.0_3.0_1725911310275.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("twitter_roberta_base_efl_hateval_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("twitter_roberta_base_efl_hateval_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_efl_hateval_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/ChrisZeng/twitter-roberta-base-efl-hateval
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-twitter_roberta_large_intimacy_latest_en.md b/docs/_posts/ahmedlone127/2024-09-09-twitter_roberta_large_intimacy_latest_en.md
new file mode 100644
index 00000000000000..1d44c868615ff8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-twitter_roberta_large_intimacy_latest_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English twitter_roberta_large_intimacy_latest RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: twitter_roberta_large_intimacy_latest
+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.`twitter_roberta_large_intimacy_latest` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_large_intimacy_latest_en_5.5.0_3.0_1725920750891.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_large_intimacy_latest_en_5.5.0_3.0_1725920750891.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_large_intimacy_latest|
+|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/cardiffnlp/twitter-roberta-large-intimacy-latest
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-twitter_roberta_large_nerd_latest_en.md b/docs/_posts/ahmedlone127/2024-09-09-twitter_roberta_large_nerd_latest_en.md
new file mode 100644
index 00000000000000..fc567bf3ce2c88
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-twitter_roberta_large_nerd_latest_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English twitter_roberta_large_nerd_latest RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: twitter_roberta_large_nerd_latest
+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.`twitter_roberta_large_nerd_latest` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_large_nerd_latest_en_5.5.0_3.0_1725902414176.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_large_nerd_latest_en_5.5.0_3.0_1725902414176.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_large_nerd_latest|
+|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/cardiffnlp/twitter-roberta-large-nerd-latest
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-twitter_roberta_large_nerd_latest_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-twitter_roberta_large_nerd_latest_pipeline_en.md
new file mode 100644
index 00000000000000..0d8a35c7a15f10
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-twitter_roberta_large_nerd_latest_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English twitter_roberta_large_nerd_latest_pipeline pipeline RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: twitter_roberta_large_nerd_latest_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.`twitter_roberta_large_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_large_nerd_latest_pipeline_en_5.5.0_3.0_1725902479775.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_large_nerd_latest_pipeline_en_5.5.0_3.0_1725902479775.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("twitter_roberta_large_nerd_latest_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("twitter_roberta_large_nerd_latest_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_large_nerd_latest_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/cardiffnlp/twitter-roberta-large-nerd-latest
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-twitter_xlm_roberta_base_en.md b/docs/_posts/ahmedlone127/2024-09-09-twitter_xlm_roberta_base_en.md
new file mode 100644
index 00000000000000..b4ccdcd0d44350
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-twitter_xlm_roberta_base_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English twitter_xlm_roberta_base XlmRoBertaForSequenceClassification from RICHARDMENSAH
+author: John Snow Labs
+name: twitter_xlm_roberta_base
+date: 2024-09-09
+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` is a English model originally trained by RICHARDMENSAH.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_xlm_roberta_base_en_5.5.0_3.0_1725907896219.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_xlm_roberta_base_en_5.5.0_3.0_1725907896219.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|
+|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/RICHARDMENSAH/twitter_xlm_roberta_base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-vietnamese_sentimental_analysis_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-vietnamese_sentimental_analysis_pipeline_en.md
new file mode 100644
index 00000000000000..9560d2cd566344
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-vietnamese_sentimental_analysis_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English vietnamese_sentimental_analysis_pipeline pipeline DistilBertForSequenceClassification from thanhchauns2
+author: John Snow Labs
+name: vietnamese_sentimental_analysis_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 DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`vietnamese_sentimental_analysis_pipeline` is a English model originally trained by thanhchauns2.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/vietnamese_sentimental_analysis_pipeline_en_5.5.0_3.0_1725872984019.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/vietnamese_sentimental_analysis_pipeline_en_5.5.0_3.0_1725872984019.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("vietnamese_sentimental_analysis_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("vietnamese_sentimental_analysis_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|vietnamese_sentimental_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/thanhchauns2/vietnamese-sentimental-analysis
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-whispasr_pipeline_hi.md b/docs/_posts/ahmedlone127/2024-09-09-whispasr_pipeline_hi.md
new file mode 100644
index 00000000000000..afc85f672c80ff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-whispasr_pipeline_hi.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Hindi whispasr_pipeline pipeline WhisperForCTC from Rithik101
+author: John Snow Labs
+name: whispasr_pipeline
+date: 2024-09-09
+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.`whispasr_pipeline` is a Hindi model originally trained by Rithik101.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whispasr_pipeline_hi_5.5.0_3.0_1725844951714.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whispasr_pipeline_hi_5.5.0_3.0_1725844951714.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whispasr_pipeline", lang = "hi")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whispasr_pipeline", lang = "hi")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whispasr_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|hi|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Rithik101/WhispASR
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-whisper_base_lithuanian_pipeline_lt.md b/docs/_posts/ahmedlone127/2024-09-09-whisper_base_lithuanian_pipeline_lt.md
new file mode 100644
index 00000000000000..ae940f7575db9d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-whisper_base_lithuanian_pipeline_lt.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Lithuanian whisper_base_lithuanian_pipeline pipeline WhisperForCTC from Aismantas
+author: John Snow Labs
+name: whisper_base_lithuanian_pipeline
+date: 2024-09-09
+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.`whisper_base_lithuanian_pipeline` is a Lithuanian model originally trained by Aismantas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_base_lithuanian_pipeline_lt_5.5.0_3.0_1725846217691.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_base_lithuanian_pipeline_lt_5.5.0_3.0_1725846217691.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_base_lithuanian_pipeline", lang = "lt")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_base_lithuanian_pipeline", lang = "lt")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_base_lithuanian_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|lt|
+|Size:|642.0 MB|
+
+## References
+
+https://huggingface.co/Aismantas/whisper-base-lithuanian
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-wolof_qa_model_a_en.md b/docs/_posts/ahmedlone127/2024-09-09-wolof_qa_model_a_en.md
new file mode 100644
index 00000000000000..8c288a19a41c78
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-wolof_qa_model_a_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English wolof_qa_model_a DistilBertForQuestionAnswering from gjonesQ02
+author: John Snow Labs
+name: wolof_qa_model_a
+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.`wolof_qa_model_a` is a English model originally trained by gjonesQ02.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/wolof_qa_model_a_en_5.5.0_3.0_1725876953579.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/wolof_qa_model_a_en_5.5.0_3.0_1725876953579.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_r_galen_caresa|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|es|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/IIC/XLM_R_Galen-caresA
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_english_sentweet_derogatory_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_english_sentweet_derogatory_en.md
new file mode 100644
index 00000000000000..ba7535c8e57851
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_english_sentweet_derogatory_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_english_sentweet_derogatory XlmRoBertaForSequenceClassification from jayanta
+author: John Snow Labs
+name: xlm_roberta_base_english_sentweet_derogatory
+date: 2024-09-09
+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_derogatory` 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_derogatory_en_5.5.0_3.0_1725870583201.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_english_sentweet_derogatory_en_5.5.0_3.0_1725870583201.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_derogatory|
+|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-derogatory
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_final_mixed_aug_insert_bert_1_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_final_mixed_aug_insert_bert_1_en.md
new file mode 100644
index 00000000000000..ef82d925ff954b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_final_mixed_aug_insert_bert_1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_final_mixed_aug_insert_bert_1 XlmRoBertaForSequenceClassification from ThuyNT03
+author: John Snow Labs
+name: xlm_roberta_base_final_mixed_aug_insert_bert_1
+date: 2024-09-09
+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_bert_1` 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_bert_1_en_5.5.0_3.0_1725906780277.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_bert_1_en_5.5.0_3.0_1725906780277.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_bert_1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|795.4 MB|
+
+## References
+
+https://huggingface.co/ThuyNT03/xlm-roberta-base-Final_Mixed-aug_insert_BERT-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_final_mixed_aug_replace_bert_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_final_mixed_aug_replace_bert_en.md
new file mode 100644
index 00000000000000..18db02ce898f16
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_final_mixed_aug_replace_bert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_final_mixed_aug_replace_bert XlmRoBertaForSequenceClassification from ThuyNT03
+author: John Snow Labs
+name: xlm_roberta_base_final_mixed_aug_replace_bert
+date: 2024-09-09
+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_replace_bert` 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_replace_bert_en_5.5.0_3.0_1725871447018.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_replace_bert_en_5.5.0_3.0_1725871447018.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_replace_bert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|795.6 MB|
+
+## References
+
+https://huggingface.co/ThuyNT03/xlm-roberta-base-Final_Mixed-aug_replace_BERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_marc_begar_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_marc_begar_en.md
new file mode 100644
index 00000000000000..34bd669640321d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_marc_begar_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_marc_begar XlmRoBertaForSequenceClassification from begar
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_marc_begar
+date: 2024-09-09
+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_begar` is a English model originally trained by begar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_marc_begar_en_5.5.0_3.0_1725907567241.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_marc_begar_en_5.5.0_3.0_1725907567241.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_begar|
+|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/begar/xlm-roberta-base-finetuned-marc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_all_mjqing_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_all_mjqing_en.md
new file mode 100644
index 00000000000000..12c2a7c105a959
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_all_mjqing_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_all_mjqing XlmRoBertaForTokenClassification from MJQing
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_all_mjqing
+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_mjqing` is a English model originally trained by MJQing.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_mjqing_en_5.5.0_3.0_1725918853430.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_mjqing_en_5.5.0_3.0_1725918853430.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_mjqing|
+|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/MJQing/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_all_mjqing_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_all_mjqing_pipeline_en.md
new file mode 100644
index 00000000000000..250b463dd02136
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_all_mjqing_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_all_mjqing_pipeline pipeline XlmRoBertaForTokenClassification from MJQing
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_all_mjqing_pipeline
+date: 2024-09-09
+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_mjqing_pipeline` is a English model originally trained by MJQing.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_mjqing_pipeline_en_5.5.0_3.0_1725918939009.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_mjqing_pipeline_en_5.5.0_3.0_1725918939009.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_mjqing_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_all_mjqing_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_all_mjqing_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|848.0 MB|
+
+## References
+
+https://huggingface.co/MJQing/xlm-roberta-base-finetuned-panx-all
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_all_seddiktrk_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_all_seddiktrk_pipeline_en.md
new file mode 100644
index 00000000000000..9047edaa183130
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_all_seddiktrk_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_all_seddiktrk_pipeline pipeline XlmRoBertaForTokenClassification from seddiktrk
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_all_seddiktrk_pipeline
+date: 2024-09-09
+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_seddiktrk_pipeline` is a English model originally trained by seddiktrk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_seddiktrk_pipeline_en_5.5.0_3.0_1725894721723.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_seddiktrk_pipeline_en_5.5.0_3.0_1725894721723.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_seddiktrk_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_all_seddiktrk_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_all_seddiktrk_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|848.0 MB|
+
+## References
+
+https://huggingface.co/seddiktrk/xlm-roberta-base-finetuned-panx-all
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_all_smallsuper_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_all_smallsuper_en.md
new file mode 100644
index 00000000000000..9fdd534559329b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_all_smallsuper_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_all_smallsuper XlmRoBertaForTokenClassification from smallsuper
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_all_smallsuper
+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_smallsuper` 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_all_smallsuper_en_5.5.0_3.0_1725894482279.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_smallsuper_en_5.5.0_3.0_1725894482279.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_smallsuper|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|857.9 MB|
+
+## References
+
+https://huggingface.co/smallsuper/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_all_smallsuper_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_all_smallsuper_pipeline_en.md
new file mode 100644
index 00000000000000..15d15024ee2d6d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_all_smallsuper_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_all_smallsuper_pipeline pipeline XlmRoBertaForTokenClassification from smallsuper
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_all_smallsuper_pipeline
+date: 2024-09-09
+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_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_all_smallsuper_pipeline_en_5.5.0_3.0_1725894549159.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_smallsuper_pipeline_en_5.5.0_3.0_1725894549159.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_smallsuper_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_all_smallsuper_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_all_smallsuper_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|857.9 MB|
+
+## References
+
+https://huggingface.co/smallsuper/xlm-roberta-base-finetuned-panx-all
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_english_huggingbase_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_english_huggingbase_pipeline_en.md
new file mode 100644
index 00000000000000..1f950b61ee6751
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_english_huggingbase_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_huggingbase_pipeline pipeline XlmRoBertaForTokenClassification from huggingbase
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_huggingbase_pipeline
+date: 2024-09-09
+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_huggingbase_pipeline` 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_english_huggingbase_pipeline_en_5.5.0_3.0_1725894536720.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_huggingbase_pipeline_en_5.5.0_3.0_1725894536720.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_huggingbase_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_english_huggingbase_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_english_huggingbase_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|826.4 MB|
+
+## References
+
+https://huggingface.co/huggingbase/xlm-roberta-base-finetuned-panx-en
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_english_the_neural_networker_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_english_the_neural_networker_pipeline_en.md
new file mode 100644
index 00000000000000..a29f0157c45194
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_english_the_neural_networker_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_the_neural_networker_pipeline pipeline XlmRoBertaForTokenClassification from the-neural-networker
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_the_neural_networker_pipeline
+date: 2024-09-09
+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_the_neural_networker_pipeline` is a English model originally trained by the-neural-networker.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_the_neural_networker_pipeline_en_5.5.0_3.0_1725895433336.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_the_neural_networker_pipeline_en_5.5.0_3.0_1725895433336.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_the_neural_networker_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_english_the_neural_networker_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_english_the_neural_networker_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|836.4 MB|
+
+## References
+
+https://huggingface.co/the-neural-networker/xlm-roberta-base-finetuned-panx-en
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_french_andreaschandra_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_french_andreaschandra_en.md
new file mode 100644
index 00000000000000..38dc9ccbd13106
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_french_andreaschandra_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_andreaschandra XlmRoBertaForTokenClassification from andreaschandra
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_andreaschandra
+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_french_andreaschandra` is a English model originally trained by andreaschandra.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_andreaschandra_en_5.5.0_3.0_1725917586767.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_andreaschandra_en_5.5.0_3.0_1725917586767.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_andreaschandra|
+|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/andreaschandra/xlm-roberta-base-finetuned-panx-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_french_andreaschandra_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_french_andreaschandra_pipeline_en.md
new file mode 100644
index 00000000000000..4c85eb53caf064
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_french_andreaschandra_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_andreaschandra_pipeline pipeline XlmRoBertaForTokenClassification from andreaschandra
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_andreaschandra_pipeline
+date: 2024-09-09
+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_andreaschandra_pipeline` is a English model originally trained by andreaschandra.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_andreaschandra_pipeline_en_5.5.0_3.0_1725917667199.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_andreaschandra_pipeline_en_5.5.0_3.0_1725917667199.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_andreaschandra_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_andreaschandra_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_andreaschandra_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|840.9 MB|
+
+## References
+
+https://huggingface.co/andreaschandra/xlm-roberta-base-finetuned-panx-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_french_arnaudmkonan_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_french_arnaudmkonan_en.md
new file mode 100644
index 00000000000000..742e80acf7d936
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_french_arnaudmkonan_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_arnaudmkonan XlmRoBertaForTokenClassification from Arnaudmkonan
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_arnaudmkonan
+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_french_arnaudmkonan` is a English model originally trained by Arnaudmkonan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_arnaudmkonan_en_5.5.0_3.0_1725895311913.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_arnaudmkonan_en_5.5.0_3.0_1725895311913.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_arnaudmkonan|
+|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/Arnaudmkonan/xlm-roberta-base-finetuned-panx-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_french_arnaudmkonan_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_french_arnaudmkonan_pipeline_en.md
new file mode 100644
index 00000000000000..fbb66a04afb879
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_french_arnaudmkonan_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_arnaudmkonan_pipeline pipeline XlmRoBertaForTokenClassification from Arnaudmkonan
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_arnaudmkonan_pipeline
+date: 2024-09-09
+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_arnaudmkonan_pipeline` is a English model originally trained by Arnaudmkonan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_arnaudmkonan_pipeline_en_5.5.0_3.0_1725895390259.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_arnaudmkonan_pipeline_en_5.5.0_3.0_1725895390259.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_arnaudmkonan_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_arnaudmkonan_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_arnaudmkonan_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|840.9 MB|
+
+## References
+
+https://huggingface.co/Arnaudmkonan/xlm-roberta-base-finetuned-panx-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_french_bessho_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_french_bessho_en.md
new file mode 100644
index 00000000000000..7c838c53baa854
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_french_bessho_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_bessho XlmRoBertaForTokenClassification from bessho
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_bessho
+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_french_bessho` is a English model originally trained by bessho.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_bessho_en_5.5.0_3.0_1725894765277.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_bessho_en_5.5.0_3.0_1725894765277.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_bessho|
+|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/bessho/xlm-roberta-base-finetuned-panx-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_french_bessho_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_french_bessho_pipeline_en.md
new file mode 100644
index 00000000000000..7e95ff46e6cd46
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_french_bessho_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_bessho_pipeline pipeline XlmRoBertaForTokenClassification from bessho
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_bessho_pipeline
+date: 2024-09-09
+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_bessho_pipeline` is a English model originally trained by bessho.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_bessho_pipeline_en_5.5.0_3.0_1725894843226.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_bessho_pipeline_en_5.5.0_3.0_1725894843226.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_bessho_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_bessho_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_bessho_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|840.9 MB|
+
+## References
+
+https://huggingface.co/bessho/xlm-roberta-base-finetuned-panx-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_french_hanlforever_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_french_hanlforever_en.md
new file mode 100644
index 00000000000000..4e416bb1052091
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_french_hanlforever_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_hanlforever XlmRoBertaForTokenClassification from hanlforever
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_hanlforever
+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_french_hanlforever` is a English model originally trained by hanlforever.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_hanlforever_en_5.5.0_3.0_1725895758271.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_hanlforever_en_5.5.0_3.0_1725895758271.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_hanlforever|
+|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/hanlforever/xlm-roberta-base-finetuned-panx-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_french_k3lana_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_french_k3lana_en.md
new file mode 100644
index 00000000000000..7fe91a6bec5159
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_french_k3lana_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_k3lana XlmRoBertaForTokenClassification from k3lana
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_k3lana
+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_french_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_french_k3lana_en_5.5.0_3.0_1725917545518.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_k3lana_en_5.5.0_3.0_1725917545518.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_k3lana|
+|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/k3lana/xlm-roberta-base-finetuned-panx-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_french_k3lana_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_french_k3lana_pipeline_en.md
new file mode 100644
index 00000000000000..35a15b6e90f803
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_french_k3lana_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_k3lana_pipeline pipeline XlmRoBertaForTokenClassification from k3lana
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_k3lana_pipeline
+date: 2024-09-09
+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_k3lana_pipeline` 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_french_k3lana_pipeline_en_5.5.0_3.0_1725917625033.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_k3lana_pipeline_en_5.5.0_3.0_1725917625033.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_k3lana_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_k3lana_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_k3lana_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|840.9 MB|
+
+## References
+
+https://huggingface.co/k3lana/xlm-roberta-base-finetuned-panx-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_french_leosol_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_french_leosol_en.md
new file mode 100644
index 00000000000000..c18d982569c5c3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_french_leosol_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_leosol XlmRoBertaForTokenClassification from leosol
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_leosol
+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_french_leosol` is a English model originally trained by leosol.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_leosol_en_5.5.0_3.0_1725918344930.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_leosol_en_5.5.0_3.0_1725918344930.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_leosol|
+|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/leosol/xlm-roberta-base-finetuned-panx-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_aaa01101312_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_aaa01101312_en.md
new file mode 100644
index 00000000000000..4b209424955fb8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_aaa01101312_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_aaa01101312 XlmRoBertaForTokenClassification from AAA01101312
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_aaa01101312
+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_german_aaa01101312` is a English model originally trained by AAA01101312.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_aaa01101312_en_5.5.0_3.0_1725917726884.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_aaa01101312_en_5.5.0_3.0_1725917726884.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_aaa01101312|
+|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/AAA01101312/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_french_ankit15nov_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_french_ankit15nov_en.md
new file mode 100644
index 00000000000000..70b43b69df2692
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_french_ankit15nov_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_ankit15nov XlmRoBertaForTokenClassification from Ankit15nov
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_ankit15nov
+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_german_french_ankit15nov` is a English model originally trained by Ankit15nov.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_ankit15nov_en_5.5.0_3.0_1725917653044.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_ankit15nov_en_5.5.0_3.0_1725917653044.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_ankit15nov|
+|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/Ankit15nov/xlm-roberta-base-finetuned-panx-de-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_french_ankit15nov_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_french_ankit15nov_pipeline_en.md
new file mode 100644
index 00000000000000..152353bef5ec7d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_french_ankit15nov_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_ankit15nov_pipeline pipeline XlmRoBertaForTokenClassification from Ankit15nov
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_ankit15nov_pipeline
+date: 2024-09-09
+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_ankit15nov_pipeline` is a English model originally trained by Ankit15nov.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_ankit15nov_pipeline_en_5.5.0_3.0_1725917721661.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_ankit15nov_pipeline_en_5.5.0_3.0_1725917721661.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_ankit15nov_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_ankit15nov_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_ankit15nov_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|858.2 MB|
+
+## References
+
+https://huggingface.co/Ankit15nov/xlm-roberta-base-finetuned-panx-de-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_french_esperesa_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_french_esperesa_en.md
new file mode 100644
index 00000000000000..bf275572e5cd64
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_french_esperesa_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_esperesa XlmRoBertaForTokenClassification from esperesa
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_esperesa
+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_german_french_esperesa` is a English model originally trained by esperesa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_esperesa_en_5.5.0_3.0_1725895175297.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_esperesa_en_5.5.0_3.0_1725895175297.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_esperesa|
+|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/esperesa/xlm-roberta-base-finetuned-panx-de-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_french_esperesa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_french_esperesa_pipeline_en.md
new file mode 100644
index 00000000000000..cbc6be686341e1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_french_esperesa_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_esperesa_pipeline pipeline XlmRoBertaForTokenClassification from esperesa
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_esperesa_pipeline
+date: 2024-09-09
+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_esperesa_pipeline` is a English model originally trained by esperesa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_esperesa_pipeline_en_5.5.0_3.0_1725895242411.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_esperesa_pipeline_en_5.5.0_3.0_1725895242411.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_esperesa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_esperesa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_esperesa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|858.2 MB|
+
+## References
+
+https://huggingface.co/esperesa/xlm-roberta-base-finetuned-panx-de-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_french_halteroxhunter_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_french_halteroxhunter_en.md
new file mode 100644
index 00000000000000..565f49634e361d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_french_halteroxhunter_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_halteroxhunter XlmRoBertaForTokenClassification from HalteroXHunter
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_halteroxhunter
+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_german_french_halteroxhunter` is a English model originally trained by HalteroXHunter.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_halteroxhunter_en_5.5.0_3.0_1725918932882.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_halteroxhunter_en_5.5.0_3.0_1725918932882.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_halteroxhunter|
+|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/HalteroXHunter/xlm-roberta-base-finetuned-panx-de-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_french_inniok_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_french_inniok_en.md
new file mode 100644
index 00000000000000..340df0c0e6c6f8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_french_inniok_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_inniok XlmRoBertaForTokenClassification from inniok
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_inniok
+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_german_french_inniok` is a English model originally trained by inniok.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_inniok_en_5.5.0_3.0_1725923089031.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_inniok_en_5.5.0_3.0_1725923089031.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_inniok|
+|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/inniok/xlm-roberta-base-finetuned-panx-de-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_french_sungkwangjoong_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_french_sungkwangjoong_en.md
new file mode 100644
index 00000000000000..bb2ea469981e18
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_french_sungkwangjoong_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_sungkwangjoong XlmRoBertaForTokenClassification from sungkwangjoong
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_sungkwangjoong
+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_german_french_sungkwangjoong` 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_german_french_sungkwangjoong_en_5.5.0_3.0_1725895634663.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_sungkwangjoong_en_5.5.0_3.0_1725895634663.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_sungkwangjoong|
+|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/sungkwangjoong/xlm-roberta-base-finetuned-panx-de-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_italian_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_italian_pipeline_en.md
new file mode 100644
index 00000000000000..0973e4bc9f5b9a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_italian_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_italian_pipeline pipeline XlmRoBertaForTokenClassification from Ferro
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_italian_pipeline
+date: 2024-09-09
+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_italian_pipeline` is a English model originally trained by Ferro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_italian_pipeline_en_5.5.0_3.0_1725923168857.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_italian_pipeline_en_5.5.0_3.0_1725923168857.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_italian_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_italian_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_italian_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|856.7 MB|
+
+## References
+
+https://huggingface.co/Ferro/xlm-roberta-base-finetuned-panx-de-it
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_mikechen_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_mikechen_en.md
new file mode 100644
index 00000000000000..a853148b43bc5b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_mikechen_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_mikechen XlmRoBertaForTokenClassification from mikechen
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_mikechen
+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_german_mikechen` is a English model originally trained by mikechen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_mikechen_en_5.5.0_3.0_1725894096271.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_mikechen_en_5.5.0_3.0_1725894096271.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_mikechen|
+|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/mikechen/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_mikechen_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_mikechen_pipeline_en.md
new file mode 100644
index 00000000000000..528131c06e98cf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_mikechen_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_mikechen_pipeline pipeline XlmRoBertaForTokenClassification from mikechen
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_mikechen_pipeline
+date: 2024-09-09
+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_mikechen_pipeline` is a English model originally trained by mikechen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_mikechen_pipeline_en_5.5.0_3.0_1725894183924.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_mikechen_pipeline_en_5.5.0_3.0_1725894183924.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_mikechen_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_mikechen_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_mikechen_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|840.8 MB|
+
+## References
+
+https://huggingface.co/mikechen/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_qihehehehe_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_qihehehehe_en.md
new file mode 100644
index 00000000000000..1726ebdfdd08e0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_qihehehehe_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_qihehehehe XlmRoBertaForTokenClassification from QiHehehehe
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_qihehehehe
+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_german_qihehehehe` is a English model originally trained by QiHehehehe.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_qihehehehe_en_5.5.0_3.0_1725918526923.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_qihehehehe_en_5.5.0_3.0_1725918526923.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_qihehehehe|
+|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/QiHehehehe/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_qihehehehe_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_qihehehehe_pipeline_en.md
new file mode 100644
index 00000000000000..a207635f1a2d2f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_qihehehehe_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_qihehehehe_pipeline pipeline XlmRoBertaForTokenClassification from QiHehehehe
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_qihehehehe_pipeline
+date: 2024-09-09
+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_qihehehehe_pipeline` is a English model originally trained by QiHehehehe.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_qihehehehe_pipeline_en_5.5.0_3.0_1725918615717.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_qihehehehe_pipeline_en_5.5.0_3.0_1725918615717.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_qihehehehe_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_qihehehehe_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_qihehehehe_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|840.8 MB|
+
+## References
+
+https://huggingface.co/QiHehehehe/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_solvaysphere_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_solvaysphere_en.md
new file mode 100644
index 00000000000000..a5d1c006f8c674
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_solvaysphere_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_solvaysphere XlmRoBertaForTokenClassification from solvaysphere
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_solvaysphere
+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_german_solvaysphere` is a English model originally trained by solvaysphere.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_solvaysphere_en_5.5.0_3.0_1725922205636.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_solvaysphere_en_5.5.0_3.0_1725922205636.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_solvaysphere|
+|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/solvaysphere/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_italian_buruzaemon_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_italian_buruzaemon_pipeline_en.md
new file mode 100644
index 00000000000000..c7e147ba71c02a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_italian_buruzaemon_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_italian_buruzaemon_pipeline pipeline XlmRoBertaForTokenClassification from buruzaemon
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_italian_buruzaemon_pipeline
+date: 2024-09-09
+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_buruzaemon_pipeline` is a English model originally trained by buruzaemon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_buruzaemon_pipeline_en_5.5.0_3.0_1725894966815.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_buruzaemon_pipeline_en_5.5.0_3.0_1725894966815.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_buruzaemon_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_italian_buruzaemon_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_italian_buruzaemon_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|816.8 MB|
+
+## References
+
+https://huggingface.co/buruzaemon/xlm-roberta-base-finetuned-panx-it
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_italian_haesun_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_italian_haesun_pipeline_en.md
new file mode 100644
index 00000000000000..ad4b52dc2794ab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_italian_haesun_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_italian_haesun_pipeline pipeline XlmRoBertaForTokenClassification from haesun
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_italian_haesun_pipeline
+date: 2024-09-09
+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_haesun_pipeline` is a English model originally trained by haesun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_haesun_pipeline_en_5.5.0_3.0_1725922462159.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_haesun_pipeline_en_5.5.0_3.0_1725922462159.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_haesun_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_italian_haesun_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_italian_haesun_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|816.8 MB|
+
+## References
+
+https://huggingface.co/haesun/xlm-roberta-base-finetuned-panx-it
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_italian_ryo_hsgw_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_italian_ryo_hsgw_en.md
new file mode 100644
index 00000000000000..6073629d2ec706
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_italian_ryo_hsgw_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_italian_ryo_hsgw XlmRoBertaForTokenClassification from ryo-hsgw
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_italian_ryo_hsgw
+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_ryo_hsgw` 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_italian_ryo_hsgw_en_5.5.0_3.0_1725894252882.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_ryo_hsgw_en_5.5.0_3.0_1725894252882.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_ryo_hsgw|
+|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/ryo-hsgw/xlm-roberta-base-finetuned-panx-it
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_italian_ryo_hsgw_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_italian_ryo_hsgw_pipeline_en.md
new file mode 100644
index 00000000000000..45832f5b46a62c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_italian_ryo_hsgw_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_italian_ryo_hsgw_pipeline pipeline XlmRoBertaForTokenClassification from ryo-hsgw
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_italian_ryo_hsgw_pipeline
+date: 2024-09-09
+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_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_italian_ryo_hsgw_pipeline_en_5.5.0_3.0_1725894340095.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_ryo_hsgw_pipeline_en_5.5.0_3.0_1725894340095.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_ryo_hsgw_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_italian_ryo_hsgw_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_italian_ryo_hsgw_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|828.6 MB|
+
+## References
+
+https://huggingface.co/ryo-hsgw/xlm-roberta-base-finetuned-panx-it
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_italian_wendao_123_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_italian_wendao_123_pipeline_en.md
new file mode 100644
index 00000000000000..50ff412762e4c9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_italian_wendao_123_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_italian_wendao_123_pipeline pipeline XlmRoBertaForTokenClassification from Wendao-123
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_italian_wendao_123_pipeline
+date: 2024-09-09
+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_wendao_123_pipeline` is a English model originally trained by Wendao-123.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_wendao_123_pipeline_en_5.5.0_3.0_1725895628773.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_wendao_123_pipeline_en_5.5.0_3.0_1725895628773.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_wendao_123_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_italian_wendao_123_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_italian_wendao_123_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|816.8 MB|
+
+## References
+
+https://huggingface.co/Wendao-123/xlm-roberta-base-finetuned-panx-it
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_italian_youngbreadho_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_italian_youngbreadho_en.md
new file mode 100644
index 00000000000000..34e8579bf8a06e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_italian_youngbreadho_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_italian_youngbreadho XlmRoBertaForTokenClassification from youngbreadho
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_italian_youngbreadho
+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_youngbreadho` is a English model originally trained by youngbreadho.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_youngbreadho_en_5.5.0_3.0_1725917715497.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_youngbreadho_en_5.5.0_3.0_1725917715497.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_youngbreadho|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|826.5 MB|
+
+## References
+
+https://huggingface.co/youngbreadho/xlm-roberta-base-finetuned-panx-it
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_turkish_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_turkish_en.md
new file mode 100644
index 00000000000000..fe309c87044245
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_turkish_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_turkish XlmRoBertaForTokenClassification from hcy5561
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_turkish
+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_turkish` 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_turkish_en_5.5.0_3.0_1725893950926.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_turkish_en_5.5.0_3.0_1725893950926.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_turkish|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|837.9 MB|
+
+## References
+
+https://huggingface.co/hcy5561/xlm-roberta-base-finetuned-panx-tr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_turkish_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_turkish_pipeline_en.md
new file mode 100644
index 00000000000000..a5b0ce2931207c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_turkish_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_turkish_pipeline pipeline XlmRoBertaForTokenClassification from hcy5561
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_turkish_pipeline
+date: 2024-09-09
+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_turkish_pipeline` 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_turkish_pipeline_en_5.5.0_3.0_1725894035925.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_turkish_pipeline_en_5.5.0_3.0_1725894035925.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_turkish_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_turkish_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_turkish_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|837.9 MB|
+
+## References
+
+https://huggingface.co/hcy5561/xlm-roberta-base-finetuned-panx-tr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_fintuned_panx_italian_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_fintuned_panx_italian_pipeline_en.md
new file mode 100644
index 00000000000000..8248fe8c8332af
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_fintuned_panx_italian_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_fintuned_panx_italian_pipeline pipeline XlmRoBertaForTokenClassification from tatsunori
+author: John Snow Labs
+name: xlm_roberta_base_fintuned_panx_italian_pipeline
+date: 2024-09-09
+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_fintuned_panx_italian_pipeline` is a English model originally trained by tatsunori.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_fintuned_panx_italian_pipeline_en_5.5.0_3.0_1725918023274.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_fintuned_panx_italian_pipeline_en_5.5.0_3.0_1725918023274.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_fintuned_panx_italian_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_fintuned_panx_italian_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_fintuned_panx_italian_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|816.8 MB|
+
+## References
+
+https://huggingface.co/tatsunori/xlm-roberta-base-fintuned-panx-it
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_imdb_seanghay_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_imdb_seanghay_pipeline_en.md
new file mode 100644
index 00000000000000..4b6989bef31b6f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_imdb_seanghay_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_imdb_seanghay_pipeline pipeline XlmRoBertaForSequenceClassification from seanghay
+author: John Snow Labs
+name: xlm_roberta_base_imdb_seanghay_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.`xlm_roberta_base_imdb_seanghay_pipeline` is a English model originally trained by seanghay.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_imdb_seanghay_pipeline_en_5.5.0_3.0_1725907474298.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_imdb_seanghay_pipeline_en_5.5.0_3.0_1725907474298.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_imdb_seanghay_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_imdb_seanghay_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_imdb_seanghay_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|869.0 MB|
+
+## References
+
+https://huggingface.co/seanghay/xlm-roberta-base-imdb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_language_detection_pipeline_xx.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_language_detection_pipeline_xx.md
new file mode 100644
index 00000000000000..5108b0ffec2f7d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_language_detection_pipeline_xx.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Multilingual xlm_roberta_base_language_detection_pipeline pipeline XlmRoBertaForSequenceClassification from papluca
+author: John Snow Labs
+name: xlm_roberta_base_language_detection_pipeline
+date: 2024-09-09
+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 XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_language_detection_pipeline` is a Multilingual model originally trained by papluca.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_language_detection_pipeline_xx_5.5.0_3.0_1725870572237.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_language_detection_pipeline_xx_5.5.0_3.0_1725870572237.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_pipeline", lang = "xx")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_language_detection_pipeline", lang = "xx")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_language_detection_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|xx|
+|Size:|870.4 MB|
+
+## References
+
+https://huggingface.co/papluca/xlm-roberta-base-language-detection
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_lr0_0001_seed42_esp_hau_eng_train_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_lr0_0001_seed42_esp_hau_eng_train_pipeline_en.md
new file mode 100644
index 00000000000000..825f80035a372c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_lr0_0001_seed42_esp_hau_eng_train_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_lr0_0001_seed42_esp_hau_eng_train_pipeline pipeline XlmRoBertaForSequenceClassification from shanhy
+author: John Snow Labs
+name: xlm_roberta_base_lr0_0001_seed42_esp_hau_eng_train_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.`xlm_roberta_base_lr0_0001_seed42_esp_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_lr0_0001_seed42_esp_hau_eng_train_pipeline_en_5.5.0_3.0_1725906646695.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_esp_hau_eng_train_pipeline_en_5.5.0_3.0_1725906646695.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_esp_hau_eng_train_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_lr0_0001_seed42_esp_hau_eng_train_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_lr0_0001_seed42_esp_hau_eng_train_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|824.3 MB|
+
+## References
+
+https://huggingface.co/shanhy/xlm-roberta-base_lr0.0001_seed42_esp-hau-eng_train
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_seed42_original_amh_esp_eng_train_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_seed42_original_amh_esp_eng_train_pipeline_en.md
new file mode 100644
index 00000000000000..66f930c2b01a58
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_seed42_original_amh_esp_eng_train_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_seed42_original_amh_esp_eng_train_pipeline pipeline XlmRoBertaForSequenceClassification from shanhy
+author: John Snow Labs
+name: xlm_roberta_base_seed42_original_amh_esp_eng_train_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.`xlm_roberta_base_seed42_original_amh_esp_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_seed42_original_amh_esp_eng_train_pipeline_en_5.5.0_3.0_1725907313754.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_seed42_original_amh_esp_eng_train_pipeline_en_5.5.0_3.0_1725907313754.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_seed42_original_amh_esp_eng_train_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_seed42_original_amh_esp_eng_train_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_seed42_original_amh_esp_eng_train_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|803.8 MB|
+
+## References
+
+https://huggingface.co/shanhy/xlm-roberta-base_seed42_original_amh-esp-eng_train
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_tweet_sentiment_arabic_trimmed_arabic_30000_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_tweet_sentiment_arabic_trimmed_arabic_30000_en.md
new file mode 100644
index 00000000000000..e65ea1d566243d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_tweet_sentiment_arabic_trimmed_arabic_30000_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_tweet_sentiment_arabic_trimmed_arabic_30000 XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_roberta_base_tweet_sentiment_arabic_trimmed_arabic_30000
+date: 2024-09-09
+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_arabic_trimmed_arabic_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_arabic_trimmed_arabic_30000_en_5.5.0_3.0_1725907568357.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_tweet_sentiment_arabic_trimmed_arabic_30000_en_5.5.0_3.0_1725907568357.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_arabic_trimmed_arabic_30000|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|387.4 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-roberta-base-tweet-sentiment-ar-trimmed-ar-30000
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_job_skill_reranker_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_job_skill_reranker_en.md
new file mode 100644
index 00000000000000..f5213a970b07e6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_job_skill_reranker_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_job_skill_reranker XlmRoBertaForSequenceClassification from serbog
+author: John Snow Labs
+name: xlm_roberta_job_skill_reranker
+date: 2024-09-09
+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_job_skill_reranker` is a English model originally trained by serbog.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_job_skill_reranker_en_5.5.0_3.0_1725907326656.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_job_skill_reranker_en_5.5.0_3.0_1725907326656.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_job_skill_reranker|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|850.5 MB|
+
+## References
+
+https://huggingface.co/serbog/xlm-roberta-job-skill-reranker
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_job_skill_reranker_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_job_skill_reranker_pipeline_en.md
new file mode 100644
index 00000000000000..47d34b69447018
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_job_skill_reranker_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_job_skill_reranker_pipeline pipeline XlmRoBertaForSequenceClassification from serbog
+author: John Snow Labs
+name: xlm_roberta_job_skill_reranker_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.`xlm_roberta_job_skill_reranker_pipeline` is a English model originally trained by serbog.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_job_skill_reranker_pipeline_en_5.5.0_3.0_1725907419488.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_job_skill_reranker_pipeline_en_5.5.0_3.0_1725907419488.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_job_skill_reranker_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_job_skill_reranker_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_job_skill_reranker_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|850.5 MB|
+
+## References
+
+https://huggingface.co/serbog/xlm-roberta-job-skill-reranker
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_ner_japanese_tsmatz_ja.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_ner_japanese_tsmatz_ja.md
new file mode 100644
index 00000000000000..015459a18edef4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_ner_japanese_tsmatz_ja.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Japanese xlm_roberta_ner_japanese_tsmatz XlmRoBertaForTokenClassification from tsmatz
+author: John Snow Labs
+name: xlm_roberta_ner_japanese_tsmatz
+date: 2024-09-09
+tags: [ja, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: ja
+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_ner_japanese_tsmatz` is a Japanese model originally trained by tsmatz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_ner_japanese_tsmatz_ja_5.5.0_3.0_1725918228768.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_ner_japanese_tsmatz_ja_5.5.0_3.0_1725918228768.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_ner_japanese_tsmatz|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|ja|
+|Size:|783.2 MB|
+
+## References
+
+https://huggingface.co/tsmatz/xlm-roberta-ner-japanese
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_ner_japanese_tsmatz_pipeline_ja.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_ner_japanese_tsmatz_pipeline_ja.md
new file mode 100644
index 00000000000000..882a4b28b96218
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_ner_japanese_tsmatz_pipeline_ja.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Japanese xlm_roberta_ner_japanese_tsmatz_pipeline pipeline XlmRoBertaForTokenClassification from tsmatz
+author: John Snow Labs
+name: xlm_roberta_ner_japanese_tsmatz_pipeline
+date: 2024-09-09
+tags: [ja, open_source, pipeline, onnx]
+task: Named Entity 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 XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_ner_japanese_tsmatz_pipeline` is a Japanese model originally trained by tsmatz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_ner_japanese_tsmatz_pipeline_ja_5.5.0_3.0_1725918370508.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_ner_japanese_tsmatz_pipeline_ja_5.5.0_3.0_1725918370508.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_ner_japanese_tsmatz_pipeline", lang = "ja")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_ner_japanese_tsmatz_pipeline", lang = "ja")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_ner_japanese_tsmatz_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ja|
+|Size:|783.2 MB|
+
+## References
+
+https://huggingface.co/tsmatz/xlm-roberta-ner-japanese
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlmr_sinhalese_english_train_shuffled_1986_test2000_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlmr_sinhalese_english_train_shuffled_1986_test2000_en.md
new file mode 100644
index 00000000000000..9a9dd214679adc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlmr_sinhalese_english_train_shuffled_1986_test2000_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlmr_sinhalese_english_train_shuffled_1986_test2000 XlmRoBertaForSequenceClassification from patpizio
+author: John Snow Labs
+name: xlmr_sinhalese_english_train_shuffled_1986_test2000
+date: 2024-09-09
+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_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_sinhalese_english_train_shuffled_1986_test2000_en_5.5.0_3.0_1725906629419.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_en_5.5.0_3.0_1725906629419.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlmroberta_ner_yomexa_base_finetuned_panx|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|de|
+|Size:|853.8 MB|
+
+## References
+
+References
+
+- https://huggingface.co/yomexa/xlm-roberta-base-finetuned-panx-de
+- https://paperswithcode.com/sota?task=Token+Classification&dataset=xtreme
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlmroberta_ner_yomexa_base_finetuned_panx_pipeline_de.md b/docs/_posts/ahmedlone127/2024-09-09-xlmroberta_ner_yomexa_base_finetuned_panx_pipeline_de.md
new file mode 100644
index 00000000000000..c7540d2566ee5f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlmroberta_ner_yomexa_base_finetuned_panx_pipeline_de.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: German xlmroberta_ner_yomexa_base_finetuned_panx_pipeline pipeline XlmRoBertaForTokenClassification from yomexa
+author: John Snow Labs
+name: xlmroberta_ner_yomexa_base_finetuned_panx_pipeline
+date: 2024-09-09
+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_yomexa_base_finetuned_panx_pipeline` is a German model originally trained by yomexa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlmroberta_ner_yomexa_base_finetuned_panx_pipeline_de_5.5.0_3.0_1725894544396.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlmroberta_ner_yomexa_base_finetuned_panx_pipeline_de_5.5.0_3.0_1725894544396.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlmroberta_ner_yomexa_base_finetuned_panx_pipeline", lang = "de")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlmroberta_ner_yomexa_base_finetuned_panx_pipeline", lang = "de")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlmroberta_ner_yomexa_base_finetuned_panx_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|de|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/yomexa/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-yelp_polarity_roberta_base_seed_1_en.md b/docs/_posts/ahmedlone127/2024-09-09-yelp_polarity_roberta_base_seed_1_en.md
new file mode 100644
index 00000000000000..c566bbc4c49c95
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-yelp_polarity_roberta_base_seed_1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English yelp_polarity_roberta_base_seed_1 RoBertaForSequenceClassification from utahnlp
+author: John Snow Labs
+name: yelp_polarity_roberta_base_seed_1
+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.`yelp_polarity_roberta_base_seed_1` is a English model originally trained by utahnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/yelp_polarity_roberta_base_seed_1_en_5.5.0_3.0_1725903985418.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/yelp_polarity_roberta_base_seed_1_en_5.5.0_3.0_1725903985418.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|yelp_polarity_roberta_base_seed_1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|465.8 MB|
+
+## References
+
+https://huggingface.co/utahnlp/yelp_polarity_roberta-base_seed-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-yelp_polarity_roberta_base_seed_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-yelp_polarity_roberta_base_seed_1_pipeline_en.md
new file mode 100644
index 00000000000000..f84c3b12939767
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-yelp_polarity_roberta_base_seed_1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English yelp_polarity_roberta_base_seed_1_pipeline pipeline RoBertaForSequenceClassification from utahnlp
+author: John Snow Labs
+name: yelp_polarity_roberta_base_seed_1_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.`yelp_polarity_roberta_base_seed_1_pipeline` is a English model originally trained by utahnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/yelp_polarity_roberta_base_seed_1_pipeline_en_5.5.0_3.0_1725904009837.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/yelp_polarity_roberta_base_seed_1_pipeline_en_5.5.0_3.0_1725904009837.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("yelp_polarity_roberta_base_seed_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("yelp_polarity_roberta_base_seed_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|yelp_polarity_roberta_base_seed_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|465.9 MB|
+
+## References
+
+https://huggingface.co/utahnlp/yelp_polarity_roberta-base_seed-1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-yelp_polarity_roberta_large_seed_3_en.md b/docs/_posts/ahmedlone127/2024-09-09-yelp_polarity_roberta_large_seed_3_en.md
new file mode 100644
index 00000000000000..76ad98d86d39b6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-yelp_polarity_roberta_large_seed_3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English yelp_polarity_roberta_large_seed_3 RoBertaForSequenceClassification from utahnlp
+author: John Snow Labs
+name: yelp_polarity_roberta_large_seed_3
+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.`yelp_polarity_roberta_large_seed_3` is a English model originally trained by utahnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/yelp_polarity_roberta_large_seed_3_en_5.5.0_3.0_1725904288892.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/yelp_polarity_roberta_large_seed_3_en_5.5.0_3.0_1725904288892.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|yelp_polarity_roberta_large_seed_3|
+|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/yelp_polarity_roberta-large_seed-3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-yelp_polarity_roberta_large_seed_3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-yelp_polarity_roberta_large_seed_3_pipeline_en.md
new file mode 100644
index 00000000000000..c8b23f7b7d32f0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-yelp_polarity_roberta_large_seed_3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English yelp_polarity_roberta_large_seed_3_pipeline pipeline RoBertaForSequenceClassification from utahnlp
+author: John Snow Labs
+name: yelp_polarity_roberta_large_seed_3_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.`yelp_polarity_roberta_large_seed_3_pipeline` is a English model originally trained by utahnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/yelp_polarity_roberta_large_seed_3_pipeline_en_5.5.0_3.0_1725904354538.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/yelp_polarity_roberta_large_seed_3_pipeline_en_5.5.0_3.0_1725904354538.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("yelp_polarity_roberta_large_seed_3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("yelp_polarity_roberta_large_seed_3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|yelp_polarity_roberta_large_seed_3_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/yelp_polarity_roberta-large_seed-3
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-2020_q1_90p_filtered_random_en.md b/docs/_posts/ahmedlone127/2024-09-10-2020_q1_90p_filtered_random_en.md
new file mode 100644
index 00000000000000..6607eea8f6cd3a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-2020_q1_90p_filtered_random_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English 2020_q1_90p_filtered_random RoBertaEmbeddings from DouglasPontes
+author: John Snow Labs
+name: 2020_q1_90p_filtered_random
+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.`2020_q1_90p_filtered_random` is a English model originally trained by DouglasPontes.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/2020_q1_90p_filtered_random_en_5.5.0_3.0_1725930530162.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/2020_q1_90p_filtered_random_en_5.5.0_3.0_1725930530162.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|470_workshop_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/eamonrw/470_workshop_qa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-470_workshop_qa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-470_workshop_qa_pipeline_en.md
new file mode 100644
index 00000000000000..34e4f02c4b5c9b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-470_workshop_qa_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English 470_workshop_qa_pipeline pipeline DistilBertForQuestionAnswering from eamonrw
+author: John Snow Labs
+name: 470_workshop_qa_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.`470_workshop_qa_pipeline` is a English model originally trained by eamonrw.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/470_workshop_qa_pipeline_en_5.5.0_3.0_1725931999921.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/470_workshop_qa_pipeline_en_5.5.0_3.0_1725931999921.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("470_workshop_qa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("470_workshop_qa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|470_workshop_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/eamonrw/470_workshop_qa
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-akan_ak.md b/docs/_posts/ahmedlone127/2024-09-10-akan_ak.md
new file mode 100644
index 00000000000000..ed640faf89d0b5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-akan_ak.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Akan akan WhisperForCTC from devkyle
+author: John Snow Labs
+name: akan
+date: 2024-09-10
+tags: [ak, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: ak
+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.`akan` is a Akan model originally trained by devkyle.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/akan_ak_5.5.0_3.0_1725944267929.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/akan_ak_5.5.0_3.0_1725944267929.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|akan|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|ak|
+|Size:|390.1 MB|
+
+## References
+
+https://huggingface.co/devkyle/Akan
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-all_mpnet_128_20_mnsr_base_en.md b/docs/_posts/ahmedlone127/2024-09-10-all_mpnet_128_20_mnsr_base_en.md
new file mode 100644
index 00000000000000..cf7a4f7fa48214
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-all_mpnet_128_20_mnsr_base_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English all_mpnet_128_20_mnsr_base MPNetEmbeddings from ronanki
+author: John Snow Labs
+name: all_mpnet_128_20_mnsr_base
+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_128_20_mnsr_base` is a English model originally trained by ronanki.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_mpnet_128_20_mnsr_base_en_5.5.0_3.0_1725964123002.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_mpnet_128_20_mnsr_base_en_5.5.0_3.0_1725964123002.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_128_20_mnsr_base|
+|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/ronanki/all_mpnet_128_20_MNSR_base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-all_mpnet_base_newtriplets_v2_lr_2e_7_m_1_e_3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-all_mpnet_base_newtriplets_v2_lr_2e_7_m_1_e_3_pipeline_en.md
new file mode 100644
index 00000000000000..4b3bd5a41b9f5f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-all_mpnet_base_newtriplets_v2_lr_2e_7_m_1_e_3_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English all_mpnet_base_newtriplets_v2_lr_2e_7_m_1_e_3_pipeline pipeline MPNetEmbeddings from luiz-and-robert-thesis
+author: John Snow Labs
+name: all_mpnet_base_newtriplets_v2_lr_2e_7_m_1_e_3_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.`all_mpnet_base_newtriplets_v2_lr_2e_7_m_1_e_3_pipeline` 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_base_newtriplets_v2_lr_2e_7_m_1_e_3_pipeline_en_5.5.0_3.0_1725935922597.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_mpnet_base_newtriplets_v2_lr_2e_7_m_1_e_3_pipeline_en_5.5.0_3.0_1725935922597.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("all_mpnet_base_newtriplets_v2_lr_2e_7_m_1_e_3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("all_mpnet_base_newtriplets_v2_lr_2e_7_m_1_e_3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_mpnet_base_newtriplets_v2_lr_2e_7_m_1_e_3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/luiz-and-robert-thesis/all-mpnet-base-newtriplets-v2-lr-2e-7-m-1-e-3
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-all_mpnet_base_v2_fine_tuned_epochs_1_binhcode25_en.md b/docs/_posts/ahmedlone127/2024-09-10-all_mpnet_base_v2_fine_tuned_epochs_1_binhcode25_en.md
new file mode 100644
index 00000000000000..12b1b38f75c4b7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-all_mpnet_base_v2_fine_tuned_epochs_1_binhcode25_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English all_mpnet_base_v2_fine_tuned_epochs_1_binhcode25 MPNetEmbeddings from binhcode25
+author: John Snow Labs
+name: all_mpnet_base_v2_fine_tuned_epochs_1_binhcode25
+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_base_v2_fine_tuned_epochs_1_binhcode25` is a English model originally trained by binhcode25.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_mpnet_base_v2_fine_tuned_epochs_1_binhcode25_en_5.5.0_3.0_1725963273678.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_mpnet_base_v2_fine_tuned_epochs_1_binhcode25_en_5.5.0_3.0_1725963273678.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_fine_tuned_epochs_1_binhcode25|
+|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/binhcode25/all-mpnet-base-v2-fine-tuned-epochs-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-all_roberta_large_v1_meta_6_16_5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-all_roberta_large_v1_meta_6_16_5_pipeline_en.md
new file mode 100644
index 00000000000000..f4f22742945462
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-all_roberta_large_v1_meta_6_16_5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English all_roberta_large_v1_meta_6_16_5_pipeline pipeline RoBertaForSequenceClassification from fathyshalab
+author: John Snow Labs
+name: all_roberta_large_v1_meta_6_16_5_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.`all_roberta_large_v1_meta_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_meta_6_16_5_pipeline_en_5.5.0_3.0_1725964884937.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_meta_6_16_5_pipeline_en_5.5.0_3.0_1725964884937.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_meta_6_16_5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("all_roberta_large_v1_meta_6_16_5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_roberta_large_v1_meta_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-meta-6-16-5
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-asr_nepal_bhasa_yoruba_dummy_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-asr_nepal_bhasa_yoruba_dummy_pipeline_en.md
new file mode 100644
index 00000000000000..6a888f1e38001d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-asr_nepal_bhasa_yoruba_dummy_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English asr_nepal_bhasa_yoruba_dummy_pipeline pipeline WhisperForCTC from babs
+author: John Snow Labs
+name: asr_nepal_bhasa_yoruba_dummy_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.`asr_nepal_bhasa_yoruba_dummy_pipeline` is a English model originally trained by babs.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/asr_nepal_bhasa_yoruba_dummy_pipeline_en_5.5.0_3.0_1725940804865.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/asr_nepal_bhasa_yoruba_dummy_pipeline_en_5.5.0_3.0_1725940804865.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("asr_nepal_bhasa_yoruba_dummy_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("asr_nepal_bhasa_yoruba_dummy_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|asr_nepal_bhasa_yoruba_dummy_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|863.9 MB|
+
+## References
+
+https://huggingface.co/babs/ASR-new-yo-dummy
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-autonlp_predict_roi_1_29797730_en.md b/docs/_posts/ahmedlone127/2024-09-10-autonlp_predict_roi_1_29797730_en.md
new file mode 100644
index 00000000000000..56520ff31d7846
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-autonlp_predict_roi_1_29797730_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English autonlp_predict_roi_1_29797730 RoBertaForSequenceClassification from ds198799
+author: John Snow Labs
+name: autonlp_predict_roi_1_29797730
+date: 2024-09-10
+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.`autonlp_predict_roi_1_29797730` is a English model originally trained by ds198799.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autonlp_predict_roi_1_29797730_en_5.5.0_3.0_1725965840142.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autonlp_predict_roi_1_29797730_en_5.5.0_3.0_1725965840142.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autonlp_predict_roi_1_29797730|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|424.2 MB|
+
+## References
+
+https://huggingface.co/ds198799/autonlp-predict_ROI_1-29797730
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-autotrain_air_sea_services_syn_mixed_data_28092023_91916144627_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-autotrain_air_sea_services_syn_mixed_data_28092023_91916144627_pipeline_en.md
new file mode 100644
index 00000000000000..074f531fbbfca0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-autotrain_air_sea_services_syn_mixed_data_28092023_91916144627_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English autotrain_air_sea_services_syn_mixed_data_28092023_91916144627_pipeline pipeline XlmRoBertaForTokenClassification from sxandie
+author: John Snow Labs
+name: autotrain_air_sea_services_syn_mixed_data_28092023_91916144627_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.`autotrain_air_sea_services_syn_mixed_data_28092023_91916144627_pipeline` is a English model originally trained by sxandie.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_air_sea_services_syn_mixed_data_28092023_91916144627_pipeline_en_5.5.0_3.0_1725928669896.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_air_sea_services_syn_mixed_data_28092023_91916144627_pipeline_en_5.5.0_3.0_1725928669896.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("autotrain_air_sea_services_syn_mixed_data_28092023_91916144627_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("autotrain_air_sea_services_syn_mixed_data_28092023_91916144627_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autotrain_air_sea_services_syn_mixed_data_28092023_91916144627_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|781.5 MB|
+
+## References
+
+https://huggingface.co/sxandie/autotrain-air-sea-services-syn-mixed-data-28092023-91916144627
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-autotrain_nnds7_fkzxh_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-autotrain_nnds7_fkzxh_pipeline_en.md
new file mode 100644
index 00000000000000..223909d0ede533
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-autotrain_nnds7_fkzxh_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English autotrain_nnds7_fkzxh_pipeline pipeline MPNetForSequenceClassification from BloodJackson
+author: John Snow Labs
+name: autotrain_nnds7_fkzxh_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 MPNetForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_nnds7_fkzxh_pipeline` is a English model originally trained by BloodJackson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_nnds7_fkzxh_pipeline_en_5.5.0_3.0_1725947310865.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_nnds7_fkzxh_pipeline_en_5.5.0_3.0_1725947310865.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("autotrain_nnds7_fkzxh_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("autotrain_nnds7_fkzxh_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autotrain_nnds7_fkzxh_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|410.4 MB|
+
+## References
+
+https://huggingface.co/BloodJackson/autotrain-nnds7-fkzxh
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- MPNetForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-babyberta_aochildes_french_wikipedia_french_without_masking_seed6_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2024-09-10-babyberta_aochildes_french_wikipedia_french_without_masking_seed6_finetuned_squad_en.md
new file mode 100644
index 00000000000000..5aacca4d137961
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-babyberta_aochildes_french_wikipedia_french_without_masking_seed6_finetuned_squad_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English babyberta_aochildes_french_wikipedia_french_without_masking_seed6_finetuned_squad RoBertaForQuestionAnswering from lielbin
+author: John Snow Labs
+name: babyberta_aochildes_french_wikipedia_french_without_masking_seed6_finetuned_squad
+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.`babyberta_aochildes_french_wikipedia_french_without_masking_seed6_finetuned_squad` is a English model originally trained by lielbin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/babyberta_aochildes_french_wikipedia_french_without_masking_seed6_finetuned_squad_en_5.5.0_3.0_1725958854086.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/babyberta_aochildes_french_wikipedia_french_without_masking_seed6_finetuned_squad_en_5.5.0_3.0_1725958854086.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_seed6_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-seed6-finetuned-SQuAD
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-bert_base_banking77_pt2_sharmax_vikas_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-bert_base_banking77_pt2_sharmax_vikas_pipeline_en.md
new file mode 100644
index 00000000000000..3f1166feec072d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-bert_base_banking77_pt2_sharmax_vikas_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_banking77_pt2_sharmax_vikas_pipeline pipeline BertForSequenceClassification from sharmax-vikas
+author: John Snow Labs
+name: bert_base_banking77_pt2_sharmax_vikas_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 BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_banking77_pt2_sharmax_vikas_pipeline` is a English model originally trained by sharmax-vikas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_sharmax_vikas_pipeline_en_5.5.0_3.0_1725957537223.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_banking77_pt2_sharmax_vikas_pipeline_en_5.5.0_3.0_1725957537223.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_banking77_pt2_sharmax_vikas_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_banking77_pt2_sharmax_vikas_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_banking77_pt2_sharmax_vikas_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.6 MB|
+
+## References
+
+https://huggingface.co/sharmax-vikas/bert-base-banking77-pt2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-bert_base_cased_squad_v1_1_portuguese_v1_1_9_en.md b/docs/_posts/ahmedlone127/2024-09-10-bert_base_cased_squad_v1_1_portuguese_v1_1_9_en.md
new file mode 100644
index 00000000000000..8d5c2117563419
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-bert_base_cased_squad_v1_1_portuguese_v1_1_9_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English bert_base_cased_squad_v1_1_portuguese_v1_1_9 BertForQuestionAnswering from alcalazans
+author: John Snow Labs
+name: bert_base_cased_squad_v1_1_portuguese_v1_1_9
+date: 2024-09-10
+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_squad_v1_1_portuguese_v1_1_9` is a English model originally trained by alcalazans.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_squad_v1_1_portuguese_v1_1_9_en_5.5.0_3.0_1725926589912.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_squad_v1_1_portuguese_v1_1_9_en_5.5.0_3.0_1725926589912.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_squad_v1_1_portuguese_v1_1_9|
+|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-cased-squad-v1.1-portuguese_v1.1.9
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-bert_base_cased_squad_v1_1_portuguese_v1_1_9_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-bert_base_cased_squad_v1_1_portuguese_v1_1_9_pipeline_en.md
new file mode 100644
index 00000000000000..9417664869a518
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-bert_base_cased_squad_v1_1_portuguese_v1_1_9_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_cased_squad_v1_1_portuguese_v1_1_9_pipeline pipeline BertForQuestionAnswering from alcalazans
+author: John Snow Labs
+name: bert_base_cased_squad_v1_1_portuguese_v1_1_9_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 BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_squad_v1_1_portuguese_v1_1_9_pipeline` is a English model originally trained by alcalazans.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_squad_v1_1_portuguese_v1_1_9_pipeline_en_5.5.0_3.0_1725926609949.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_squad_v1_1_portuguese_v1_1_9_pipeline_en_5.5.0_3.0_1725926609949.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_cased_squad_v1_1_portuguese_v1_1_9_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_cased_squad_v1_1_portuguese_v1_1_9_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_squad_v1_1_portuguese_v1_1_9_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-cased-squad-v1.1-portuguese_v1.1.9
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-bert_base_kununua_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-bert_base_kununua_model_pipeline_en.md
new file mode 100644
index 00000000000000..268aeb7eb5d1fc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-bert_base_kununua_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_kununua_model_pipeline pipeline RoBertaForSequenceClassification from Alex-GF
+author: John Snow Labs
+name: bert_base_kununua_model_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.`bert_base_kununua_model_pipeline` is a English model originally trained by Alex-GF.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_kununua_model_pipeline_en_5.5.0_3.0_1725962410441.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_kununua_model_pipeline_en_5.5.0_3.0_1725962410441.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_kununua_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_kununua_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_kununua_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|308.7 MB|
+
+## References
+
+https://huggingface.co/Alex-GF/bert-base-kununua-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-bert_base_qa_model_7up_en.md b/docs/_posts/ahmedlone127/2024-09-10-bert_base_qa_model_7up_en.md
new file mode 100644
index 00000000000000..97b79367ccb66d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-bert_base_qa_model_7up_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English bert_base_qa_model_7up DistilBertForQuestionAnswering from cadzchua
+author: John Snow Labs
+name: bert_base_qa_model_7up
+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.`bert_base_qa_model_7up` is a English model originally trained by cadzchua.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_qa_model_7up_en_5.5.0_3.0_1725960376615.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_qa_model_7up_en_5.5.0_3.0_1725960376615.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_turkish_sentiment_analysis|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|tr|
+|Size:|414.5 MB|
+
+## References
+
+https://huggingface.co/saribasmetehan/bert-base-turkish-sentiment-analysis
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-bert_base_uncased_ftd_on_glue_qqp_iter_1_en.md b/docs/_posts/ahmedlone127/2024-09-10-bert_base_uncased_ftd_on_glue_qqp_iter_1_en.md
new file mode 100644
index 00000000000000..9066636aead128
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-bert_base_uncased_ftd_on_glue_qqp_iter_1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_ftd_on_glue_qqp_iter_1 BertForSequenceClassification from Ibrahim-Alam
+author: John Snow Labs
+name: bert_base_uncased_ftd_on_glue_qqp_iter_1
+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.`bert_base_uncased_ftd_on_glue_qqp_iter_1` is a English model originally trained by Ibrahim-Alam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ftd_on_glue_qqp_iter_1_en_5.5.0_3.0_1725957177650.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ftd_on_glue_qqp_iter_1_en_5.5.0_3.0_1725957177650.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_qa_morgana_rodrigues|
+|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/morgana-rodrigues/bert_qa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-best_64_shots_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-best_64_shots_pipeline_en.md
new file mode 100644
index 00000000000000..194471397939b2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-best_64_shots_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English best_64_shots_pipeline pipeline MPNetEmbeddings from Nhat1904
+author: John Snow Labs
+name: best_64_shots_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.`best_64_shots_pipeline` is a English model originally trained by Nhat1904.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/best_64_shots_pipeline_en_5.5.0_3.0_1725963300434.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/best_64_shots_pipeline_en_5.5.0_3.0_1725963300434.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("best_64_shots_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("best_64_shots_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|best_64_shots_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/best_64_shots
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-bsc_bio_ehr_spanish_symptemist_word2vec_75_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-bsc_bio_ehr_spanish_symptemist_word2vec_75_ner_pipeline_en.md
new file mode 100644
index 00000000000000..de9e5ddc89d454
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-bsc_bio_ehr_spanish_symptemist_word2vec_75_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bsc_bio_ehr_spanish_symptemist_word2vec_75_ner_pipeline pipeline RoBertaForTokenClassification from Rodrigo1771
+author: John Snow Labs
+name: bsc_bio_ehr_spanish_symptemist_word2vec_75_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 RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bsc_bio_ehr_spanish_symptemist_word2vec_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_word2vec_75_ner_pipeline_en_5.5.0_3.0_1725948703629.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_75_ner_pipeline_en_5.5.0_3.0_1725948703629.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_75_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bsc_bio_ehr_spanish_symptemist_word2vec_75_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bsc_bio_ehr_spanish_symptemist_word2vec_75_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|435.4 MB|
+
+## References
+
+https://huggingface.co/Rodrigo1771/bsc-bio-ehr-es-symptemist-word2vec-75-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-burmese_awesome_eli5_mlm_model_kavan123_en.md b/docs/_posts/ahmedlone127/2024-09-10-burmese_awesome_eli5_mlm_model_kavan123_en.md
new file mode 100644
index 00000000000000..bcb62cb4b71246
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-burmese_awesome_eli5_mlm_model_kavan123_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_eli5_mlm_model_kavan123 RoBertaEmbeddings from Kavan123
+author: John Snow Labs
+name: burmese_awesome_eli5_mlm_model_kavan123
+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.`burmese_awesome_eli5_mlm_model_kavan123` is a English model originally trained by Kavan123.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_eli5_mlm_model_kavan123_en_5.5.0_3.0_1725930664022.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_eli5_mlm_model_kavan123_en_5.5.0_3.0_1725930664022.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_kavan123|
+|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/Kavan123/my_awesome_eli5_mlm_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-burmese_awesome_eli5_mlm_model_kavan123_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-burmese_awesome_eli5_mlm_model_kavan123_pipeline_en.md
new file mode 100644
index 00000000000000..dcd8daddc2ecdf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-burmese_awesome_eli5_mlm_model_kavan123_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_eli5_mlm_model_kavan123_pipeline pipeline RoBertaEmbeddings from Kavan123
+author: John Snow Labs
+name: burmese_awesome_eli5_mlm_model_kavan123_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.`burmese_awesome_eli5_mlm_model_kavan123_pipeline` is a English model originally trained by Kavan123.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_eli5_mlm_model_kavan123_pipeline_en_5.5.0_3.0_1725930678829.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_eli5_mlm_model_kavan123_pipeline_en_5.5.0_3.0_1725930678829.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_kavan123_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_eli5_mlm_model_kavan123_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_eli5_mlm_model_kavan123_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.5 MB|
+
+## References
+
+https://huggingface.co/Kavan123/my_awesome_eli5_mlm_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-burmese_awesome_qa_model_abdullah_ii_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-burmese_awesome_qa_model_abdullah_ii_pipeline_en.md
new file mode 100644
index 00000000000000..00205597f5ab07
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-burmese_awesome_qa_model_abdullah_ii_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_abdullah_ii_pipeline pipeline DistilBertForQuestionAnswering from Abdullah-ii
+author: John Snow Labs
+name: burmese_awesome_qa_model_abdullah_ii_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.`burmese_awesome_qa_model_abdullah_ii_pipeline` is a English model originally trained by Abdullah-ii.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_abdullah_ii_pipeline_en_5.5.0_3.0_1725931911689.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_abdullah_ii_pipeline_en_5.5.0_3.0_1725931911689.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_abdullah_ii_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_qa_model_abdullah_ii_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_abdullah_ii_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Abdullah-ii/my_awesome_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-burmese_awesome_qa_model_darren1105_en.md b/docs/_posts/ahmedlone127/2024-09-10-burmese_awesome_qa_model_darren1105_en.md
new file mode 100644
index 00000000000000..41051d7683db9a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-burmese_awesome_qa_model_darren1105_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_darren1105 DistilBertForQuestionAnswering from darren1105
+author: John Snow Labs
+name: burmese_awesome_qa_model_darren1105
+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.`burmese_awesome_qa_model_darren1105` is a English model originally trained by darren1105.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_darren1105_en_5.5.0_3.0_1725931868805.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_darren1105_en_5.5.0_3.0_1725931868805.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_darren1105|
+|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/darren1105/my_awesome_qa_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-burmese_awesome_qa_model_darren1105_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-burmese_awesome_qa_model_darren1105_pipeline_en.md
new file mode 100644
index 00000000000000..da89e8531ffa92
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-burmese_awesome_qa_model_darren1105_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_darren1105_pipeline pipeline DistilBertForQuestionAnswering from darren1105
+author: John Snow Labs
+name: burmese_awesome_qa_model_darren1105_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.`burmese_awesome_qa_model_darren1105_pipeline` is a English model originally trained by darren1105.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_darren1105_pipeline_en_5.5.0_3.0_1725931880826.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_darren1105_pipeline_en_5.5.0_3.0_1725931880826.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_darren1105_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_qa_model_darren1105_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_darren1105_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/darren1105/my_awesome_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-burmese_awesome_qa_model_derf989_en.md b/docs/_posts/ahmedlone127/2024-09-10-burmese_awesome_qa_model_derf989_en.md
new file mode 100644
index 00000000000000..8090d8026df65c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-burmese_awesome_qa_model_derf989_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_derf989 DistilBertForQuestionAnswering from Derf989
+author: John Snow Labs
+name: burmese_awesome_qa_model_derf989
+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.`burmese_awesome_qa_model_derf989` is a English model originally trained by Derf989.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_derf989_en_5.5.0_3.0_1725932249770.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_derf989_en_5.5.0_3.0_1725932249770.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_fsghs|
+|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/fsghs/my_awesome_qa_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-burmese_awesome_qa_model_fsghs_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-burmese_awesome_qa_model_fsghs_pipeline_en.md
new file mode 100644
index 00000000000000..a106e1af4dfa55
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-burmese_awesome_qa_model_fsghs_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_fsghs_pipeline pipeline DistilBertForQuestionAnswering from fsghs
+author: John Snow Labs
+name: burmese_awesome_qa_model_fsghs_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.`burmese_awesome_qa_model_fsghs_pipeline` is a English model originally trained by fsghs.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_fsghs_pipeline_en_5.5.0_3.0_1725960430815.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_fsghs_pipeline_en_5.5.0_3.0_1725960430815.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_fsghs_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_qa_model_fsghs_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_fsghs_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/fsghs/my_awesome_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-burmese_awesome_qa_model_herutriana44_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-burmese_awesome_qa_model_herutriana44_pipeline_en.md
new file mode 100644
index 00000000000000..af88130a7e144b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-burmese_awesome_qa_model_herutriana44_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_herutriana44_pipeline pipeline DistilBertForQuestionAnswering from herutriana44
+author: John Snow Labs
+name: burmese_awesome_qa_model_herutriana44_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.`burmese_awesome_qa_model_herutriana44_pipeline` is a English model originally trained by herutriana44.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_herutriana44_pipeline_en_5.5.0_3.0_1725932519363.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_herutriana44_pipeline_en_5.5.0_3.0_1725932519363.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_herutriana44_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_qa_model_herutriana44_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_herutriana44_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/herutriana44/my_awesome_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-burmese_awesome_qa_model_ivan3ol_en.md b/docs/_posts/ahmedlone127/2024-09-10-burmese_awesome_qa_model_ivan3ol_en.md
new file mode 100644
index 00000000000000..cdd5b61c5d1edb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-burmese_awesome_qa_model_ivan3ol_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_ivan3ol DistilBertForQuestionAnswering from ivan3ol
+author: John Snow Labs
+name: burmese_awesome_qa_model_ivan3ol
+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.`burmese_awesome_qa_model_ivan3ol` is a English model originally trained by ivan3ol.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_ivan3ol_en_5.5.0_3.0_1725932330491.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_ivan3ol_en_5.5.0_3.0_1725932330491.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_sachinsharma0325|
+|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/SachinSharma0325/my_awesome_qa_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-burmese_awesome_qa_model_shiftinglegs_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-burmese_awesome_qa_model_shiftinglegs_pipeline_en.md
new file mode 100644
index 00000000000000..60af66202aa635
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-burmese_awesome_qa_model_shiftinglegs_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_shiftinglegs_pipeline pipeline DistilBertForQuestionAnswering from ShiftingLegs
+author: John Snow Labs
+name: burmese_awesome_qa_model_shiftinglegs_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.`burmese_awesome_qa_model_shiftinglegs_pipeline` is a English model originally trained by ShiftingLegs.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_shiftinglegs_pipeline_en_5.5.0_3.0_1725932148333.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_shiftinglegs_pipeline_en_5.5.0_3.0_1725932148333.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_shiftinglegs_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_qa_model_shiftinglegs_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_shiftinglegs_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ShiftingLegs/my_awesome_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-burmese_mps_roberta_based_model_en.md b/docs/_posts/ahmedlone127/2024-09-10-burmese_mps_roberta_based_model_en.md
new file mode 100644
index 00000000000000..2113fbea6943d7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-burmese_mps_roberta_based_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_mps_roberta_based_model RoBertaEmbeddings from MS-Huang0714
+author: John Snow Labs
+name: burmese_mps_roberta_based_model
+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.`burmese_mps_roberta_based_model` is a English model originally trained by MS-Huang0714.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_mps_roberta_based_model_en_5.5.0_3.0_1725930722311.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_mps_roberta_based_model_en_5.5.0_3.0_1725930722311.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_setfit|
+|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/shrikritisingh/my-setfit
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-burmese_setfit_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-burmese_setfit_pipeline_en.md
new file mode 100644
index 00000000000000..30b7d81bc1a91f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-burmese_setfit_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_setfit_pipeline pipeline MPNetEmbeddings from shrikritisingh
+author: John Snow Labs
+name: burmese_setfit_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.`burmese_setfit_pipeline` is a English model originally trained by shrikritisingh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_setfit_pipeline_en_5.5.0_3.0_1725963687407.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_setfit_pipeline_en_5.5.0_3.0_1725963687407.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_setfit_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_setfit_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_setfit_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/shrikritisingh/my-setfit
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-candle_cvss_integrity_en.md b/docs/_posts/ahmedlone127/2024-09-10-candle_cvss_integrity_en.md
new file mode 100644
index 00000000000000..7b269169845e93
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-candle_cvss_integrity_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English candle_cvss_integrity MPNetForSequenceClassification from iashour
+author: John Snow Labs
+name: candle_cvss_integrity
+date: 2024-09-10
+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.`candle_cvss_integrity` is a English model originally trained by iashour.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/candle_cvss_integrity_en_5.5.0_3.0_1725947555422.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/candle_cvss_integrity_en_5.5.0_3.0_1725947555422.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|coha1960s|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|311.6 MB|
+
+## References
+
+https://huggingface.co/simonmun/COHA1960s
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-coha1960s_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-coha1960s_pipeline_en.md
new file mode 100644
index 00000000000000..6ee97b8b9c468a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-coha1960s_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English coha1960s_pipeline pipeline RoBertaEmbeddings from simonmun
+author: John Snow Labs
+name: coha1960s_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.`coha1960s_pipeline` is a English model originally trained by simonmun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/coha1960s_pipeline_en_5.5.0_3.0_1725930931492.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/coha1960s_pipeline_en_5.5.0_3.0_1725930931492.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("coha1960s_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("coha1960s_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|coha1960s_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|311.6 MB|
+
+## References
+
+https://huggingface.co/simonmun/COHA1960s
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-cot_ep3_35_en.md b/docs/_posts/ahmedlone127/2024-09-10-cot_ep3_35_en.md
new file mode 100644
index 00000000000000..bf5c7a3c697bae
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-cot_ep3_35_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English cot_ep3_35 MPNetEmbeddings from ingeol
+author: John Snow Labs
+name: cot_ep3_35
+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.`cot_ep3_35` is a English model originally trained by ingeol.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cot_ep3_35_en_5.5.0_3.0_1725963845139.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cot_ep3_35_en_5.5.0_3.0_1725963845139.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cot_ep3_35|
+|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/cot_ep3_35
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-covid_vaccine_sentiment_analysis_roberta_model_newtonkimathi_en.md b/docs/_posts/ahmedlone127/2024-09-10-covid_vaccine_sentiment_analysis_roberta_model_newtonkimathi_en.md
new file mode 100644
index 00000000000000..8498f73ff319f6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-covid_vaccine_sentiment_analysis_roberta_model_newtonkimathi_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English covid_vaccine_sentiment_analysis_roberta_model_newtonkimathi RoBertaForSequenceClassification from NewtonKimathi
+author: John Snow Labs
+name: covid_vaccine_sentiment_analysis_roberta_model_newtonkimathi
+date: 2024-09-10
+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.`covid_vaccine_sentiment_analysis_roberta_model_newtonkimathi` is a English model originally trained by NewtonKimathi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/covid_vaccine_sentiment_analysis_roberta_model_newtonkimathi_en_5.5.0_3.0_1725962342327.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/covid_vaccine_sentiment_analysis_roberta_model_newtonkimathi_en_5.5.0_3.0_1725962342327.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cropwiz_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:|247.2 MB|
+
+## References
+
+https://huggingface.co/Thenghuy/cropwiz_qa_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-cropwiz_qa_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-cropwiz_qa_model_pipeline_en.md
new file mode 100644
index 00000000000000..07a8381c31b378
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-cropwiz_qa_model_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English cropwiz_qa_model_pipeline pipeline DistilBertForQuestionAnswering from Thenghuy
+author: John Snow Labs
+name: cropwiz_qa_model_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.`cropwiz_qa_model_pipeline` is a English model originally trained by Thenghuy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cropwiz_qa_model_pipeline_en_5.5.0_3.0_1725931930930.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cropwiz_qa_model_pipeline_en_5.5.0_3.0_1725931930930.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cropwiz_qa_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cropwiz_qa_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cropwiz_qa_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/Thenghuy/cropwiz_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-cros_2_en.md b/docs/_posts/ahmedlone127/2024-09-10-cros_2_en.md
new file mode 100644
index 00000000000000..2078d9d758ded5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-cros_2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English cros_2 RoBertaForSequenceClassification from BaronSch
+author: John Snow Labs
+name: cros_2
+date: 2024-09-10
+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.`cros_2` is a English model originally trained by BaronSch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cros_2_en_5.5.0_3.0_1725962039231.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cros_2_en_5.5.0_3.0_1725962039231.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dataset|
+|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/ajaydvrj/dataset
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-ddi_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-ddi_pipeline_en.md
new file mode 100644
index 00000000000000..908988db52059d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-ddi_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ddi_pipeline pipeline RoBertaForSequenceClassification from Zabbonat
+author: John Snow Labs
+name: ddi_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.`ddi_pipeline` is a English model originally trained by Zabbonat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ddi_pipeline_en_5.5.0_3.0_1725962431227.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ddi_pipeline_en_5.5.0_3.0_1725962431227.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ddi_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ddi_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ddi_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|430.5 MB|
+
+## References
+
+https://huggingface.co/Zabbonat/DDI
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_cased_qa_squad2_en.md b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_cased_qa_squad2_en.md
new file mode 100644
index 00000000000000..20a962e54d7530
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_cased_qa_squad2_en.md
@@ -0,0 +1,102 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering model
+author: John Snow Labs
+name: distilbert_base_cased_qa_squad2
+date: 2024-09-10
+tags: [open_source, distilbert, question_answering, en, 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 Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-cased-distilled-squad` is a English model originally trained by Hugging Face.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_qa_squad2_en_5.5.0_3.0_1725946219459.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_qa_squad2_en_5.5.0_3.0_1725946219459.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 = DistilBertForQuestionAnswering.pretrained("distilbert_base_cased_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 = DistilBertForQuestionAnswering.pretrained("distilbert_base_cased_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.distil_bert.base_cased").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_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:|243.6 MB|
+|Case sensitive:|false|
+|Max sentence length:|512|
+
+## References
+
+References
+
+References
+
+https://huggingface.co/distilbert-base-cased-distilled-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_aarnow_en.md b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_aarnow_en.md
new file mode 100644
index 00000000000000..6cb058b960e6f7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_aarnow_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_aarnow DistilBertEmbeddings from aarnow
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_aarnow
+date: 2024-09-10
+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_base_uncased_finetuned_imdb_aarnow` is a English model originally trained by aarnow.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_aarnow_en_5.5.0_3.0_1725946358721.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_aarnow_en_5.5.0_3.0_1725946358721.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_aarnow|
+|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/aarnow/distilbert-base-uncased-finetuned-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_accelerate_dangurangu_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_accelerate_dangurangu_pipeline_en.md
new file mode 100644
index 00000000000000..05e77fba622491
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_accelerate_dangurangu_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_accelerate_dangurangu_pipeline pipeline DistilBertEmbeddings from Dangurangu
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_accelerate_dangurangu_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 DistilBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_imdb_accelerate_dangurangu_pipeline` is a English model originally trained by Dangurangu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_accelerate_dangurangu_pipeline_en_5.5.0_3.0_1725933060230.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_accelerate_dangurangu_pipeline_en_5.5.0_3.0_1725933060230.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_accelerate_dangurangu_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_imdb_accelerate_dangurangu_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_imdb_accelerate_dangurangu_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Dangurangu/distilbert-base-uncased-finetuned-imdb-accelerate
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_accelerate_dreamuno_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_accelerate_dreamuno_pipeline_en.md
new file mode 100644
index 00000000000000..30b9704f917f56
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_accelerate_dreamuno_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_accelerate_dreamuno_pipeline pipeline DistilBertEmbeddings from Dreamuno
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_accelerate_dreamuno_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 DistilBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_imdb_accelerate_dreamuno_pipeline` is a English model originally trained by Dreamuno.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_accelerate_dreamuno_pipeline_en_5.5.0_3.0_1725933063820.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_accelerate_dreamuno_pipeline_en_5.5.0_3.0_1725933063820.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_accelerate_dreamuno_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_imdb_accelerate_dreamuno_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_imdb_accelerate_dreamuno_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Dreamuno/distilbert-base-uncased-finetuned-imdb-accelerate
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_accelerate_msong_en.md b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_accelerate_msong_en.md
new file mode 100644
index 00000000000000..0c819618b709f4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_accelerate_msong_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_accelerate_msong DistilBertEmbeddings from msong
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_accelerate_msong
+date: 2024-09-10
+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_base_uncased_finetuned_imdb_accelerate_msong` is a English model originally trained by msong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_accelerate_msong_en_5.5.0_3.0_1725933130700.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_accelerate_msong_en_5.5.0_3.0_1725933130700.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_msong|
+|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/msong/distilbert-base-uncased-finetuned-imdb-accelerate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_jeph864_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_jeph864_pipeline_en.md
new file mode 100644
index 00000000000000..f7d5a89e6c56c3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_jeph864_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_jeph864_pipeline pipeline DistilBertEmbeddings from jeph864
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_jeph864_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 DistilBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_imdb_jeph864_pipeline` is a English model originally trained by jeph864.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_jeph864_pipeline_en_5.5.0_3.0_1725933475867.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_jeph864_pipeline_en_5.5.0_3.0_1725933475867.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_jeph864_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_imdb_jeph864_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_imdb_jeph864_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/jeph864/distilbert-base-uncased-finetuned-imdb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_jin_cheon_en.md b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_jin_cheon_en.md
new file mode 100644
index 00000000000000..e52438ed10f159
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_jin_cheon_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_jin_cheon DistilBertEmbeddings from jin-cheon
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_jin_cheon
+date: 2024-09-10
+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_base_uncased_finetuned_imdb_jin_cheon` is a English model originally trained by jin-cheon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_jin_cheon_en_5.5.0_3.0_1725946595530.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_jin_cheon_en_5.5.0_3.0_1725946595530.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_jin_cheon|
+|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/jin-cheon/distilbert-base-uncased-finetuned-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_jin_cheon_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_jin_cheon_pipeline_en.md
new file mode 100644
index 00000000000000..679d73e4938eb5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_jin_cheon_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_jin_cheon_pipeline pipeline DistilBertEmbeddings from jin-cheon
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_jin_cheon_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 DistilBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_imdb_jin_cheon_pipeline` is a English model originally trained by jin-cheon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_jin_cheon_pipeline_en_5.5.0_3.0_1725946608030.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_jin_cheon_pipeline_en_5.5.0_3.0_1725946608030.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_jin_cheon_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_imdb_jin_cheon_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_imdb_jin_cheon_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/jin-cheon/distilbert-base-uncased-finetuned-imdb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_keylazy_en.md b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_keylazy_en.md
new file mode 100644
index 00000000000000..dde380addf4fdf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_keylazy_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_keylazy DistilBertEmbeddings from keylazy
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_keylazy
+date: 2024-09-10
+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_base_uncased_finetuned_imdb_keylazy` is a English model originally trained by keylazy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_keylazy_en_5.5.0_3.0_1725933373958.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_keylazy_en_5.5.0_3.0_1725933373958.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_keylazy|
+|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/keylazy/distilbert-base-uncased-finetuned-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_owentaku_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_owentaku_pipeline_en.md
new file mode 100644
index 00000000000000..4a10d1937b83b2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_owentaku_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_owentaku_pipeline pipeline DistilBertEmbeddings from Owentaku
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_owentaku_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 DistilBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_imdb_owentaku_pipeline` is a English model originally trained by Owentaku.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_owentaku_pipeline_en_5.5.0_3.0_1725933481175.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_owentaku_pipeline_en_5.5.0_3.0_1725933481175.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_owentaku_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_imdb_owentaku_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_imdb_owentaku_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Owentaku/distilbert-base-uncased-finetuned-imdb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_smallfish166_en.md b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_smallfish166_en.md
new file mode 100644
index 00000000000000..c1f83830cb5383
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_smallfish166_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_smallfish166 DistilBertEmbeddings from smallfish166
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_smallfish166
+date: 2024-09-10
+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_base_uncased_finetuned_imdb_smallfish166` is a English model originally trained by smallfish166.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_smallfish166_en_5.5.0_3.0_1725946358536.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_smallfish166_en_5.5.0_3.0_1725946358536.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_smallfish166|
+|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/smallfish166/distilbert-base-uncased-finetuned-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_smallfish166_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_smallfish166_pipeline_en.md
new file mode 100644
index 00000000000000..a3a7ebf4584f22
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_smallfish166_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_smallfish166_pipeline pipeline DistilBertEmbeddings from smallfish166
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_smallfish166_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 DistilBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_imdb_smallfish166_pipeline` is a English model originally trained by smallfish166.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_smallfish166_pipeline_en_5.5.0_3.0_1725946371396.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_smallfish166_pipeline_en_5.5.0_3.0_1725946371396.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_smallfish166_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_imdb_smallfish166_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_imdb_smallfish166_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/smallfish166/distilbert-base-uncased-finetuned-imdb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_spokkazo_en.md b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_spokkazo_en.md
new file mode 100644
index 00000000000000..d53bb18e4a16b2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_spokkazo_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_spokkazo DistilBertEmbeddings from spokkazo
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_spokkazo
+date: 2024-09-10
+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_base_uncased_finetuned_imdb_spokkazo` is a English model originally trained by spokkazo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_spokkazo_en_5.5.0_3.0_1725935442852.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_spokkazo_en_5.5.0_3.0_1725935442852.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_ssv273|
+|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/ssv273/distilbert-base-uncased-finetuned-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_ssv273_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_ssv273_pipeline_en.md
new file mode 100644
index 00000000000000..94c9f986893749
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_ssv273_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_ssv273_pipeline pipeline DistilBertEmbeddings from ssv273
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_ssv273_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 DistilBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_imdb_ssv273_pipeline` is a English model originally trained by ssv273.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_ssv273_pipeline_en_5.5.0_3.0_1725946684675.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_ssv273_pipeline_en_5.5.0_3.0_1725946684675.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_ssv273_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_imdb_ssv273_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_imdb_ssv273_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ssv273/distilbert-base-uncased-finetuned-imdb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_vasaicrow_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_vasaicrow_pipeline_en.md
new file mode 100644
index 00000000000000..4e9318d886ba2b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_vasaicrow_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_vasaicrow_pipeline pipeline DistilBertEmbeddings from vasaicrow
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_vasaicrow_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 DistilBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_imdb_vasaicrow_pipeline` is a English model originally trained by vasaicrow.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_vasaicrow_pipeline_en_5.5.0_3.0_1725933118733.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_vasaicrow_pipeline_en_5.5.0_3.0_1725933118733.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_vasaicrow_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_imdb_vasaicrow_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_imdb_vasaicrow_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/vasaicrow/distilbert-base-uncased-finetuned-imdb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_y_oguchi_en.md b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_y_oguchi_en.md
new file mode 100644
index 00000000000000..79b321dceda331
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_y_oguchi_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_y_oguchi DistilBertEmbeddings from y-oguchi
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_y_oguchi
+date: 2024-09-10
+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_base_uncased_finetuned_imdb_y_oguchi` is a English model originally trained by y-oguchi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_y_oguchi_en_5.5.0_3.0_1725933373033.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_y_oguchi_en_5.5.0_3.0_1725933373033.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_y_oguchi|
+|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/y-oguchi/distilbert-base-uncased-finetuned-imdb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_yaojingguo_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_yaojingguo_pipeline_en.md
new file mode 100644
index 00000000000000..f6be6a6b91faa1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_yaojingguo_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_yaojingguo_pipeline pipeline DistilBertEmbeddings from yaojingguo
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_yaojingguo_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 DistilBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_imdb_yaojingguo_pipeline` is a English model originally trained by yaojingguo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_yaojingguo_pipeline_en_5.5.0_3.0_1725946614790.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_yaojingguo_pipeline_en_5.5.0_3.0_1725946614790.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_yaojingguo_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_imdb_yaojingguo_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_imdb_yaojingguo_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/yaojingguo/distilbert-base-uncased-finetuned-imdb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_masked_financial_reports_sec_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_masked_financial_reports_sec_pipeline_en.md
new file mode 100644
index 00000000000000..50c50452c4079a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_masked_financial_reports_sec_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_masked_financial_reports_sec_pipeline pipeline DistilBertEmbeddings from Aventicity
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_masked_financial_reports_sec_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 DistilBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_masked_financial_reports_sec_pipeline` is a English model originally trained by Aventicity.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_masked_financial_reports_sec_pipeline_en_5.5.0_3.0_1725946704117.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_masked_financial_reports_sec_pipeline_en_5.5.0_3.0_1725946704117.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_masked_financial_reports_sec_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_masked_financial_reports_sec_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_masked_financial_reports_sec_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Aventicity/distilbert-base-uncased-finetuned-Masked-financial_reports_sec
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_squad_craigdsouza_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_squad_craigdsouza_pipeline_en.md
new file mode 100644
index 00000000000000..a8b3c66cc0870d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_squad_craigdsouza_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_craigdsouza_pipeline pipeline DistilBertForQuestionAnswering from craigdsouza
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_craigdsouza_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.`distilbert_base_uncased_finetuned_squad_craigdsouza_pipeline` is a English model originally trained by craigdsouza.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_craigdsouza_pipeline_en_5.5.0_3.0_1725931875723.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_craigdsouza_pipeline_en_5.5.0_3.0_1725931875723.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_craigdsouza_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_craigdsouza_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_craigdsouza_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/craigdsouza/distilbert-base-uncased-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_squad_edw144_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_squad_edw144_pipeline_en.md
new file mode 100644
index 00000000000000..b1d72473ea3010
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_squad_edw144_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_edw144_pipeline pipeline DistilBertForQuestionAnswering from edw144
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_edw144_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.`distilbert_base_uncased_finetuned_squad_edw144_pipeline` is a English model originally trained by edw144.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_edw144_pipeline_en_5.5.0_3.0_1725960477237.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_edw144_pipeline_en_5.5.0_3.0_1725960477237.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_edw144_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_edw144_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_edw144_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/edw144/distilbert-base-uncased-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_squad_jstotz64_en.md b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_squad_jstotz64_en.md
new file mode 100644
index 00000000000000..ceb784067d819d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_squad_jstotz64_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_jstotz64 DistilBertForQuestionAnswering from jstotz64
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_jstotz64
+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_jstotz64` is a English model originally trained by jstotz64.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_jstotz64_en_5.5.0_3.0_1725932145190.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_jstotz64_en_5.5.0_3.0_1725932145190.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_jstotz64|
+|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/jstotz64/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_squad_jstotz64_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_squad_jstotz64_pipeline_en.md
new file mode 100644
index 00000000000000..c4bdef19bdb375
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_squad_jstotz64_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_jstotz64_pipeline pipeline DistilBertForQuestionAnswering from jstotz64
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_jstotz64_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.`distilbert_base_uncased_finetuned_squad_jstotz64_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_squad_jstotz64_pipeline_en_5.5.0_3.0_1725932157928.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_jstotz64_pipeline_en_5.5.0_3.0_1725932157928.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_jstotz64_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_jstotz64_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_jstotz64_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-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_squad_orgilj_en.md b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_squad_orgilj_en.md
new file mode 100644
index 00000000000000..e5122722043f69
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_squad_orgilj_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_orgilj DistilBertForQuestionAnswering from orgilj
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_orgilj
+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_orgilj` is a English model originally trained by orgilj.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_orgilj_en_5.5.0_3.0_1725960601090.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_orgilj_en_5.5.0_3.0_1725960601090.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_superlazycoder|
+|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/superlazycoder/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_qa_finetune_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_qa_finetune_pipeline_en.md
new file mode 100644
index 00000000000000..68fc9a90dc021a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_qa_finetune_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_qa_finetune_pipeline pipeline DistilBertForQuestionAnswering from BlueDruddigon
+author: John Snow Labs
+name: distilbert_base_uncased_qa_finetune_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.`distilbert_base_uncased_qa_finetune_pipeline` is a English model originally trained by BlueDruddigon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_qa_finetune_pipeline_en_5.5.0_3.0_1725932033527.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_qa_finetune_pipeline_en_5.5.0_3.0_1725932033527.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_finetune_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_qa_finetune_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_qa_finetune_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/BlueDruddigon/distilbert-base-uncased-qa-finetune
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_squad2_p95_en.md b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_squad2_p95_en.md
new file mode 100644
index 00000000000000..eae5a14b9ee857
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_squad2_p95_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_squad2_p95 DistilBertForQuestionAnswering from pminha
+author: John Snow Labs
+name: distilbert_base_uncased_squad2_p95
+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_squad2_p95` is a English model originally trained by pminha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_squad2_p95_en_5.5.0_3.0_1725932242805.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_squad2_p95_en_5.5.0_3.0_1725932242805.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_p95|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|112.4 MB|
+
+## References
+
+https://huggingface.co/pminha/distilbert-base-uncased-squad2-p95
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_squad2_p95_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_squad2_p95_pipeline_en.md
new file mode 100644
index 00000000000000..b6b00785320a8f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_squad2_p95_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_squad2_p95_pipeline pipeline DistilBertForQuestionAnswering from pminha
+author: John Snow Labs
+name: distilbert_base_uncased_squad2_p95_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.`distilbert_base_uncased_squad2_p95_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_p95_pipeline_en_5.5.0_3.0_1725932254112.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_squad2_p95_pipeline_en_5.5.0_3.0_1725932254112.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_p95_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_squad2_p95_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_squad2_p95_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|112.4 MB|
+
+## References
+
+https://huggingface.co/pminha/distilbert-base-uncased-squad2-p95
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-distilbert_qa_mysquadv2_8Jan22_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2024-09-10-distilbert_qa_mysquadv2_8Jan22_finetuned_squad_en.md
new file mode 100644
index 00000000000000..8c1333a97137b2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-distilbert_qa_mysquadv2_8Jan22_finetuned_squad_en.md
@@ -0,0 +1,98 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering model (from threem) Squad2
+author: John Snow Labs
+name: distilbert_qa_mysquadv2_8Jan22_finetuned_squad
+date: 2024-09-10
+tags: [en, open_source, distilbert, 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 Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `mysquadv2_8Jan22-finetuned-squad` is a English model originally trained by `threem`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_mysquadv2_8Jan22_finetuned_squad_en_5.5.0_3.0_1725932032360.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_mysquadv2_8Jan22_finetuned_squad_en_5.5.0_3.0_1725932032360.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 = DistilBertForQuestionAnswering.pretrained("distilbert_qa_mysquadv2_8Jan22_finetuned_squad","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 = DistilBertForQuestionAnswering.pretrained("distilbert_qa_mysquadv2_8Jan22_finetuned_squad","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.distil_bert.v2.by_threem").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_mysquadv2_8Jan22_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:|243.8 MB|
+
+## References
+
+References
+
+- https://huggingface.co/threem/mysquadv2_8Jan22-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-distilbert_qa_mysquadv2_8Jan22_finetuned_squad_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-distilbert_qa_mysquadv2_8Jan22_finetuned_squad_pipeline_en.md
new file mode 100644
index 00000000000000..62a0bcde3d44ed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-distilbert_qa_mysquadv2_8Jan22_finetuned_squad_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_qa_mysquadv2_8Jan22_finetuned_squad_pipeline pipeline DistilBertForQuestionAnswering from threem
+author: John Snow Labs
+name: distilbert_qa_mysquadv2_8Jan22_finetuned_squad_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.`distilbert_qa_mysquadv2_8Jan22_finetuned_squad_pipeline` is a English model originally trained by threem.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_mysquadv2_8Jan22_finetuned_squad_pipeline_en_5.5.0_3.0_1725932043150.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_mysquadv2_8Jan22_finetuned_squad_pipeline_en_5.5.0_3.0_1725932043150.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_qa_mysquadv2_8Jan22_finetuned_squad_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_qa_mysquadv2_8Jan22_finetuned_squad_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_mysquadv2_8Jan22_finetuned_squad_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/threem/mysquadv2_8Jan22-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-distilbert_word2vec_256k_mlm_500k_en.md b/docs/_posts/ahmedlone127/2024-09-10-distilbert_word2vec_256k_mlm_500k_en.md
new file mode 100644
index 00000000000000..d4d00bc78e7182
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-distilbert_word2vec_256k_mlm_500k_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_word2vec_256k_mlm_500k DistilBertEmbeddings from vocab-transformers
+author: John Snow Labs
+name: distilbert_word2vec_256k_mlm_500k
+date: 2024-09-10
+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_word2vec_256k_mlm_500k` is a English model originally trained by vocab-transformers.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_word2vec_256k_mlm_500k_en_5.5.0_3.0_1725946455861.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_word2vec_256k_mlm_500k_en_5.5.0_3.0_1725946455861.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbertfinetunehsfifteenepoch|
+|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/distilbertfinetuneHSfifteenepoch
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-distilbertfinetunehsfifteenepoch_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-distilbertfinetunehsfifteenepoch_pipeline_en.md
new file mode 100644
index 00000000000000..2c3295b1219e43
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-distilbertfinetunehsfifteenepoch_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbertfinetunehsfifteenepoch_pipeline pipeline DistilBertForQuestionAnswering from KarthikAlagarsamy
+author: John Snow Labs
+name: distilbertfinetunehsfifteenepoch_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.`distilbertfinetunehsfifteenepoch_pipeline` is a English model originally trained by KarthikAlagarsamy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbertfinetunehsfifteenepoch_pipeline_en_5.5.0_3.0_1725932144197.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbertfinetunehsfifteenepoch_pipeline_en_5.5.0_3.0_1725932144197.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbertfinetunehsfifteenepoch_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbertfinetunehsfifteenepoch_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbertfinetunehsfifteenepoch_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/distilbertfinetuneHSfifteenepoch
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-distortion_model_en.md b/docs/_posts/ahmedlone127/2024-09-10-distortion_model_en.md
new file mode 100644
index 00000000000000..fe96c9ea639a9f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-distortion_model_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distortion_model MPNetEmbeddings from marco-gancitano
+author: John Snow Labs
+name: distortion_model
+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.`distortion_model` is a English model originally trained by marco-gancitano.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distortion_model_en_5.5.0_3.0_1725936886110.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distortion_model_en_5.5.0_3.0_1725936886110.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distortion_model|
+|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/marco-gancitano/distortion-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-dock_0_en.md b/docs/_posts/ahmedlone127/2024-09-10-dock_0_en.md
new file mode 100644
index 00000000000000..b654d48c6c19b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-dock_0_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English dock_0 RoBertaForSequenceClassification from BaronSch
+author: John Snow Labs
+name: dock_0
+date: 2024-09-10
+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.`dock_0` is a English model originally trained by BaronSch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dock_0_en_5.5.0_3.0_1725964966837.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dock_0_en_5.5.0_3.0_1725964966837.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dock_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/Dock_0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-dock_0_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-dock_0_pipeline_en.md
new file mode 100644
index 00000000000000..90c62c94166abd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-dock_0_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dock_0_pipeline pipeline RoBertaForSequenceClassification from BaronSch
+author: John Snow Labs
+name: dock_0_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.`dock_0_pipeline` is a English model originally trained by BaronSch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dock_0_pipeline_en_5.5.0_3.0_1725964990865.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dock_0_pipeline_en_5.5.0_3.0_1725964990865.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dock_0_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dock_0_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dock_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/Dock_0
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-dock_4_en.md b/docs/_posts/ahmedlone127/2024-09-10-dock_4_en.md
new file mode 100644
index 00000000000000..80d8b77434b71c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-dock_4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English dock_4 RoBertaForSequenceClassification from BaronSch
+author: John Snow Labs
+name: dock_4
+date: 2024-09-10
+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.`dock_4` is a English model originally trained by BaronSch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dock_4_en_5.5.0_3.0_1725962516925.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dock_4_en_5.5.0_3.0_1725962516925.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dock_4|
+|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/Dock_4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-dummy_model_aman_1210_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-dummy_model_aman_1210_pipeline_en.md
new file mode 100644
index 00000000000000..089b172e0b912c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-dummy_model_aman_1210_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dummy_model_aman_1210_pipeline pipeline CamemBertEmbeddings from aman-1210
+author: John Snow Labs
+name: dummy_model_aman_1210_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 CamemBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dummy_model_aman_1210_pipeline` is a English model originally trained by aman-1210.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_model_aman_1210_pipeline_en_5.5.0_3.0_1725939121901.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_model_aman_1210_pipeline_en_5.5.0_3.0_1725939121901.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dummy_model_aman_1210_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dummy_model_aman_1210_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dummy_model_aman_1210_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|264.0 MB|
+
+## References
+
+https://huggingface.co/aman-1210/dummy-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- CamemBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-dummy_model_dylwil3_en.md b/docs/_posts/ahmedlone127/2024-09-10-dummy_model_dylwil3_en.md
new file mode 100644
index 00000000000000..cb6f19559ace4b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-dummy_model_dylwil3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English dummy_model_dylwil3 CamemBertEmbeddings from dylwil3
+author: John Snow Labs
+name: dummy_model_dylwil3
+date: 2024-09-10
+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_dylwil3` is a English model originally trained by dylwil3.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_model_dylwil3_en_5.5.0_3.0_1725938478863.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_model_dylwil3_en_5.5.0_3.0_1725938478863.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_mrsteffe|
+|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/MrSteffe/dummy-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-dummy_model_qingspring_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-dummy_model_qingspring_pipeline_en.md
new file mode 100644
index 00000000000000..961103af66dbee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-dummy_model_qingspring_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dummy_model_qingspring_pipeline pipeline CamemBertEmbeddings from Qingspring
+author: John Snow Labs
+name: dummy_model_qingspring_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 CamemBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dummy_model_qingspring_pipeline` is a English model originally trained by Qingspring.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_model_qingspring_pipeline_en_5.5.0_3.0_1725938877358.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_model_qingspring_pipeline_en_5.5.0_3.0_1725938877358.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dummy_model_qingspring_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dummy_model_qingspring_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dummy_model_qingspring_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|264.0 MB|
+
+## References
+
+https://huggingface.co/Qingspring/dummy-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- CamemBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-dummy_model_safik_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-dummy_model_safik_pipeline_en.md
new file mode 100644
index 00000000000000..d9d97a7ceee6a7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-dummy_model_safik_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dummy_model_safik_pipeline pipeline CamemBertEmbeddings from safik
+author: John Snow Labs
+name: dummy_model_safik_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 CamemBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dummy_model_safik_pipeline` is a English model originally trained by safik.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_model_safik_pipeline_en_5.5.0_3.0_1725938456751.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_model_safik_pipeline_en_5.5.0_3.0_1725938456751.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dummy_model_safik_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dummy_model_safik_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dummy_model_safik_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|264.0 MB|
+
+## References
+
+https://huggingface.co/safik/dummy-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- CamemBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-dummy_model_sanjay1234_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-dummy_model_sanjay1234_pipeline_en.md
new file mode 100644
index 00000000000000..8508ed8eaa5ff6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-dummy_model_sanjay1234_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dummy_model_sanjay1234_pipeline pipeline CamemBertEmbeddings from Sanjay1234
+author: John Snow Labs
+name: dummy_model_sanjay1234_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 CamemBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dummy_model_sanjay1234_pipeline` is a English model originally trained by Sanjay1234.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_model_sanjay1234_pipeline_en_5.5.0_3.0_1725939031404.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_model_sanjay1234_pipeline_en_5.5.0_3.0_1725939031404.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dummy_model_sanjay1234_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dummy_model_sanjay1234_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dummy_model_sanjay1234_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|264.0 MB|
+
+## References
+
+https://huggingface.co/Sanjay1234/dummy-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- CamemBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-dummy_model_sayakadak24_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-dummy_model_sayakadak24_pipeline_en.md
new file mode 100644
index 00000000000000..c9d70d9ab69e36
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-dummy_model_sayakadak24_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dummy_model_sayakadak24_pipeline pipeline CamemBertEmbeddings from sayakadak24
+author: John Snow Labs
+name: dummy_model_sayakadak24_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 CamemBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dummy_model_sayakadak24_pipeline` is a English model originally trained by sayakadak24.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_model_sayakadak24_pipeline_en_5.5.0_3.0_1725938834362.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_model_sayakadak24_pipeline_en_5.5.0_3.0_1725938834362.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dummy_model_sayakadak24_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dummy_model_sayakadak24_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dummy_model_sayakadak24_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|264.0 MB|
+
+## References
+
+https://huggingface.co/sayakadak24/dummy-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- CamemBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-dummy_model_zaimazarnaz14_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-dummy_model_zaimazarnaz14_pipeline_en.md
new file mode 100644
index 00000000000000..f1eefc0193f338
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-dummy_model_zaimazarnaz14_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dummy_model_zaimazarnaz14_pipeline pipeline CamemBertEmbeddings from zaimazarnaz14
+author: John Snow Labs
+name: dummy_model_zaimazarnaz14_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 CamemBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dummy_model_zaimazarnaz14_pipeline` is a English model originally trained by zaimazarnaz14.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_model_zaimazarnaz14_pipeline_en_5.5.0_3.0_1725938617536.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_model_zaimazarnaz14_pipeline_en_5.5.0_3.0_1725938617536.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dummy_model_zaimazarnaz14_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dummy_model_zaimazarnaz14_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dummy_model_zaimazarnaz14_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|264.0 MB|
+
+## References
+
+https://huggingface.co/zaimazarnaz14/dummy-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- CamemBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-e2e_deployment_en.md b/docs/_posts/ahmedlone127/2024-09-10-e2e_deployment_en.md
new file mode 100644
index 00000000000000..3c45f72d04e4c0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-e2e_deployment_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English e2e_deployment BertForSequenceClassification from SamagraDataGov
+author: John Snow Labs
+name: e2e_deployment
+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.`e2e_deployment` is a English model originally trained by SamagraDataGov.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/e2e_deployment_en_5.5.0_3.0_1725957646155.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/e2e_deployment_en_5.5.0_3.0_1725957646155.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|efficient_mlm_m0_50|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|844.8 MB|
+
+## References
+
+https://huggingface.co/princeton-nlp/efficient_mlm_m0.50
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-efficient_mlm_m0_50_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-efficient_mlm_m0_50_pipeline_en.md
new file mode 100644
index 00000000000000..dc719cac8b88bf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-efficient_mlm_m0_50_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English efficient_mlm_m0_50_pipeline pipeline RoBertaEmbeddings from princeton-nlp
+author: John Snow Labs
+name: efficient_mlm_m0_50_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.`efficient_mlm_m0_50_pipeline` is a English model originally trained by princeton-nlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/efficient_mlm_m0_50_pipeline_en_5.5.0_3.0_1725931431617.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/efficient_mlm_m0_50_pipeline_en_5.5.0_3.0_1725931431617.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("efficient_mlm_m0_50_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("efficient_mlm_m0_50_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|efficient_mlm_m0_50_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|844.8 MB|
+
+## References
+
+https://huggingface.co/princeton-nlp/efficient_mlm_m0.50
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-electra_qa_base_v2_finetuned_korquad_384_ko.md b/docs/_posts/ahmedlone127/2024-09-10-electra_qa_base_v2_finetuned_korquad_384_ko.md
new file mode 100644
index 00000000000000..95e9cf77b38166
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-electra_qa_base_v2_finetuned_korquad_384_ko.md
@@ -0,0 +1,98 @@
+---
+layout: model
+title: Korean ElectraForQuestionAnswering model (from monologg) Version-2
+author: John Snow Labs
+name: electra_qa_base_v2_finetuned_korquad_384
+date: 2024-09-10
+tags: [ko, open_source, electra, question_answering, onnx]
+task: Question Answering
+language: ko
+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 Question Answering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `koelectra-base-v2-finetuned-korquad-384` is a Korean model originally trained by `monologg`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/electra_qa_base_v2_finetuned_korquad_384_ko_5.5.0_3.0_1725926757744.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/electra_qa_base_v2_finetuned_korquad_384_ko_5.5.0_3.0_1725926757744.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 = BertForQuestionAnswering.pretrained("electra_qa_base_v2_finetuned_korquad_384","ko") \
+.setInputCols(["document_question", "document_context"]) \
+.setOutputCol("answer")\
+.setCaseSensitive(True)
+
+pipeline = Pipeline(stages=[documentAssembler, spanClassifier])
+
+data = spark.createDataFrame([["내 이름은 무엇입니까?", "제 이름은 클라라이고 저는 버클리에 살고 있습니다."]]).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 = BertForQuestionAnswering.pretrained("electra_qa_base_v2_finetuned_korquad_384","ko")
+.setInputCols(Array("document", "token"))
+.setOutputCol("answer")
+.setCaseSensitive(true)
+
+val pipeline = new Pipeline().setStages(Array(documentAssembler, spanClassifier))
+
+val data = Seq("내 이름은 무엇입니까?", "제 이름은 클라라이고 저는 버클리에 살고 있습니다.").toDF("question", "context")
+
+val result = pipeline.fit(data).transform(data)
+```
+
+{:.nlu-block}
+```python
+import nlu
+nlu.load("ko.answer_question.korquad.electra.base_v2_384.by_monologg").predict("""내 이름은 무엇입니까?|||"제 이름은 클라라이고 저는 버클리에 살고 있습니다.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|electra_qa_base_v2_finetuned_korquad_384|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|ko|
+|Size:|411.8 MB|
+
+## References
+
+References
+
+- https://huggingface.co/monologg/koelectra-base-v2-finetuned-korquad-384
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-english_astitchtask1a_robertabase_falsetrue_0_0_best_en.md b/docs/_posts/ahmedlone127/2024-09-10-english_astitchtask1a_robertabase_falsetrue_0_0_best_en.md
new file mode 100644
index 00000000000000..4477cf551584c5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-english_astitchtask1a_robertabase_falsetrue_0_0_best_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English english_astitchtask1a_robertabase_falsetrue_0_0_best RoBertaForSequenceClassification from harish
+author: John Snow Labs
+name: english_astitchtask1a_robertabase_falsetrue_0_0_best
+date: 2024-09-10
+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.`english_astitchtask1a_robertabase_falsetrue_0_0_best` is a English model originally trained by harish.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/english_astitchtask1a_robertabase_falsetrue_0_0_best_en_5.5.0_3.0_1725966154145.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/english_astitchtask1a_robertabase_falsetrue_0_0_best_en_5.5.0_3.0_1725966154145.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|esteler_distilbert_indonesian|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[distilbert]|
+|Language:|id|
+|Size:|307.6 MB|
+
+## References
+
+https://huggingface.co/zaenalium/Esteler-DistilBERT-id
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-financebert_en.md b/docs/_posts/ahmedlone127/2024-09-10-financebert_en.md
new file mode 100644
index 00000000000000..838cc4209b2294
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-financebert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English financebert BertForSequenceClassification from marcev
+author: John Snow Labs
+name: financebert
+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.`financebert` is a English model originally trained by marcev.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/financebert_en_5.5.0_3.0_1725957127960.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/financebert_en_5.5.0_3.0_1725957127960.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|financebert|
+|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/marcev/financebert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-fine_tune_whisper_kagglex_pipeline_hi.md b/docs/_posts/ahmedlone127/2024-09-10-fine_tune_whisper_kagglex_pipeline_hi.md
new file mode 100644
index 00000000000000..b4bf4f6ec16282
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-fine_tune_whisper_kagglex_pipeline_hi.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Hindi fine_tune_whisper_kagglex_pipeline pipeline WhisperForCTC from SakshiRathi77
+author: John Snow Labs
+name: fine_tune_whisper_kagglex_pipeline
+date: 2024-09-10
+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.`fine_tune_whisper_kagglex_pipeline` is a Hindi model originally trained by SakshiRathi77.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tune_whisper_kagglex_pipeline_hi_5.5.0_3.0_1725953862815.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tune_whisper_kagglex_pipeline_hi_5.5.0_3.0_1725953862815.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fine_tune_whisper_kagglex_pipeline", lang = "hi")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fine_tune_whisper_kagglex_pipeline", lang = "hi")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tune_whisper_kagglex_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|hi|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/SakshiRathi77/Fine-tune-Whisper-Kagglex
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-fine_tuned_qas_squad_2_with_roberta_large_en.md b/docs/_posts/ahmedlone127/2024-09-10-fine_tuned_qas_squad_2_with_roberta_large_en.md
new file mode 100644
index 00000000000000..cb364944ec7534
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-fine_tuned_qas_squad_2_with_roberta_large_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English fine_tuned_qas_squad_2_with_roberta_large RoBertaForQuestionAnswering from muhammadravi251001
+author: John Snow Labs
+name: fine_tuned_qas_squad_2_with_roberta_large
+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.`fine_tuned_qas_squad_2_with_roberta_large` is a English model originally trained by muhammadravi251001.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_qas_squad_2_with_roberta_large_en_5.5.0_3.0_1725958557394.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_qas_squad_2_with_roberta_large_en_5.5.0_3.0_1725958557394.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_qas_squad_2_with_roberta_large|
+|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/muhammadravi251001/fine-tuned-QAS-Squad_2-with-roberta-large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-fine_tuning_nlp_en.md b/docs/_posts/ahmedlone127/2024-09-10-fine_tuning_nlp_en.md
new file mode 100644
index 00000000000000..d5bc44103aa033
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-fine_tuning_nlp_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English fine_tuning_nlp RoBertaForSequenceClassification from ianlaauu
+author: John Snow Labs
+name: fine_tuning_nlp
+date: 2024-09-10
+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.`fine_tuning_nlp` is a English model originally trained by ianlaauu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuning_nlp_en_5.5.0_3.0_1725965827686.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuning_nlp_en_5.5.0_3.0_1725965827686.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_model_kunalmod|
+|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/Kunalmod/finetuned-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-fintwitbert_sentiment_stephanakkerman_en.md b/docs/_posts/ahmedlone127/2024-09-10-fintwitbert_sentiment_stephanakkerman_en.md
new file mode 100644
index 00000000000000..c5f2c374e6a664
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-fintwitbert_sentiment_stephanakkerman_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English fintwitbert_sentiment_stephanakkerman BertForSequenceClassification from StephanAkkerman
+author: John Snow Labs
+name: fintwitbert_sentiment_stephanakkerman
+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.`fintwitbert_sentiment_stephanakkerman` is a English model originally trained by StephanAkkerman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fintwitbert_sentiment_stephanakkerman_en_5.5.0_3.0_1725957742972.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fintwitbert_sentiment_stephanakkerman_en_5.5.0_3.0_1725957742972.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fintwitbert_sentiment_stephanakkerman|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|411.7 MB|
+
+## References
+
+https://huggingface.co/StephanAkkerman/FinTwitBERT-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-gdpr_consent_agreement_en.md b/docs/_posts/ahmedlone127/2024-09-10-gdpr_consent_agreement_en.md
new file mode 100644
index 00000000000000..c4fedc86347131
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-gdpr_consent_agreement_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English gdpr_consent_agreement BertForSequenceClassification from rdhinaz
+author: John Snow Labs
+name: gdpr_consent_agreement
+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.`gdpr_consent_agreement` is a English model originally trained by rdhinaz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gdpr_consent_agreement_en_5.5.0_3.0_1725957559890.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gdpr_consent_agreement_en_5.5.0_3.0_1725957559890.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gdpr_consent_agreement|
+|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/rdhinaz/gdpr_consent_agreement
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-hate_detector_en.md b/docs/_posts/ahmedlone127/2024-09-10-hate_detector_en.md
new file mode 100644
index 00000000000000..3e281b872271be
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-hate_detector_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English hate_detector RoBertaForSequenceClassification from ishaansharma
+author: John Snow Labs
+name: hate_detector
+date: 2024-09-10
+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_detector` is a English model originally trained by ishaansharma.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_detector_en_5.5.0_3.0_1725962613883.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_detector_en_5.5.0_3.0_1725962613883.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_detector|
+|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/ishaansharma/hate-detector
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-hate_hate_balance_random0_seed1_twitter_roberta_base_dec2020_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-hate_hate_balance_random0_seed1_twitter_roberta_base_dec2020_pipeline_en.md
new file mode 100644
index 00000000000000..a981f5e3d8fa39
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-hate_hate_balance_random0_seed1_twitter_roberta_base_dec2020_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English hate_hate_balance_random0_seed1_twitter_roberta_base_dec2020_pipeline pipeline RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: hate_hate_balance_random0_seed1_twitter_roberta_base_dec2020_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.`hate_hate_balance_random0_seed1_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_balance_random0_seed1_twitter_roberta_base_dec2020_pipeline_en_5.5.0_3.0_1725966195814.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_dec2020_pipeline_en_5.5.0_3.0_1725966195814.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_dec2020_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hate_hate_balance_random0_seed1_twitter_roberta_base_dec2020_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_hate_balance_random0_seed1_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_balance_random0_seed1-twitter-roberta-base-dec2020
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-headline_similarities_en.md b/docs/_posts/ahmedlone127/2024-09-10-headline_similarities_en.md
new file mode 100644
index 00000000000000..0d2741947c313f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-headline_similarities_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English headline_similarities MPNetEmbeddings from valurank
+author: John Snow Labs
+name: headline_similarities
+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.`headline_similarities` is a English model originally trained by valurank.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/headline_similarities_en_5.5.0_3.0_1725963621797.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/headline_similarities_en_5.5.0_3.0_1725963621797.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|headline_similarities|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[mpnet]|
+|Language:|en|
+|Size:|406.7 MB|
+
+## References
+
+https://huggingface.co/valurank/headline_similarities
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-histbert_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2024-09-10-histbert_finetuned_ner_en.md
new file mode 100644
index 00000000000000..6e56282268fd3d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-histbert_finetuned_ner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English histbert_finetuned_ner BertForTokenClassification from crina-t
+author: John Snow Labs
+name: histbert_finetuned_ner
+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.`histbert_finetuned_ner` is a English model originally trained by crina-t.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/histbert_finetuned_ner_en_5.5.0_3.0_1725955667825.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/histbert_finetuned_ner_en_5.5.0_3.0_1725955667825.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|histbert_finetuned_ner|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|504.9 MB|
+
+## References
+
+https://huggingface.co/crina-t/histbert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-icd_10_code_prediction_en.md b/docs/_posts/ahmedlone127/2024-09-10-icd_10_code_prediction_en.md
new file mode 100644
index 00000000000000..647cad1d292193
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-icd_10_code_prediction_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English icd_10_code_prediction BertForSequenceClassification from AkshatSurolia
+author: John Snow Labs
+name: icd_10_code_prediction
+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.`icd_10_code_prediction` is a English model originally trained by AkshatSurolia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/icd_10_code_prediction_en_5.5.0_3.0_1725957892360.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/icd_10_code_prediction_en_5.5.0_3.0_1725957892360.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|legal_bert_small_cuad|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|130.6 MB|
+
+## References
+
+https://huggingface.co/alex-apostolo/legal-bert-small-cuad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-lettuce_sayula_popoluca_dutch_xlm_en.md b/docs/_posts/ahmedlone127/2024-09-10-lettuce_sayula_popoluca_dutch_xlm_en.md
new file mode 100644
index 00000000000000..363f21ae6892fa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-lettuce_sayula_popoluca_dutch_xlm_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English lettuce_sayula_popoluca_dutch_xlm XlmRoBertaForTokenClassification from pranaydeeps
+author: John Snow Labs
+name: lettuce_sayula_popoluca_dutch_xlm
+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.`lettuce_sayula_popoluca_dutch_xlm` is a English model originally trained by pranaydeeps.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lettuce_sayula_popoluca_dutch_xlm_en_5.5.0_3.0_1725928016954.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lettuce_sayula_popoluca_dutch_xlm_en_5.5.0_3.0_1725928016954.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lettuce_sayula_popoluca_dutch_xlm|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|864.5 MB|
+
+## References
+
+https://huggingface.co/pranaydeeps/lettuce_pos_nl_xlm
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-lettuce_sayula_popoluca_dutch_xlm_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-lettuce_sayula_popoluca_dutch_xlm_pipeline_en.md
new file mode 100644
index 00000000000000..e17ed51b378fb7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-lettuce_sayula_popoluca_dutch_xlm_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English lettuce_sayula_popoluca_dutch_xlm_pipeline pipeline XlmRoBertaForTokenClassification from pranaydeeps
+author: John Snow Labs
+name: lettuce_sayula_popoluca_dutch_xlm_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.`lettuce_sayula_popoluca_dutch_xlm_pipeline` is a English model originally trained by pranaydeeps.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lettuce_sayula_popoluca_dutch_xlm_pipeline_en_5.5.0_3.0_1725928079073.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lettuce_sayula_popoluca_dutch_xlm_pipeline_en_5.5.0_3.0_1725928079073.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("lettuce_sayula_popoluca_dutch_xlm_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("lettuce_sayula_popoluca_dutch_xlm_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lettuce_sayula_popoluca_dutch_xlm_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|864.5 MB|
+
+## References
+
+https://huggingface.co/pranaydeeps/lettuce_pos_nl_xlm
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-lm6_movie_aspect_extraction_bert_en.md b/docs/_posts/ahmedlone127/2024-09-10-lm6_movie_aspect_extraction_bert_en.md
new file mode 100644
index 00000000000000..a1aeb7cf61e6ab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-lm6_movie_aspect_extraction_bert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English lm6_movie_aspect_extraction_bert BertForSequenceClassification from Lowerated
+author: John Snow Labs
+name: lm6_movie_aspect_extraction_bert
+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.`lm6_movie_aspect_extraction_bert` is a English model originally trained by Lowerated.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lm6_movie_aspect_extraction_bert_en_5.5.0_3.0_1725957853549.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lm6_movie_aspect_extraction_bert_en_5.5.0_3.0_1725957853549.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|masked_language_model_nikhilwani|
+|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/nikhilwani/masked-language-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-mbert_hindi_bengali_mlm_squad_tydi_mlqa_pipeline_hi.md b/docs/_posts/ahmedlone127/2024-09-10-mbert_hindi_bengali_mlm_squad_tydi_mlqa_pipeline_hi.md
new file mode 100644
index 00000000000000..2321156a291a27
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-mbert_hindi_bengali_mlm_squad_tydi_mlqa_pipeline_hi.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Hindi mbert_hindi_bengali_mlm_squad_tydi_mlqa_pipeline pipeline BertForQuestionAnswering from hapandya
+author: John Snow Labs
+name: mbert_hindi_bengali_mlm_squad_tydi_mlqa_pipeline
+date: 2024-09-10
+tags: [hi, open_source, pipeline, onnx]
+task: Question Answering
+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 BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mbert_hindi_bengali_mlm_squad_tydi_mlqa_pipeline` is a Hindi model originally trained by hapandya.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mbert_hindi_bengali_mlm_squad_tydi_mlqa_pipeline_hi_5.5.0_3.0_1725927413988.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mbert_hindi_bengali_mlm_squad_tydi_mlqa_pipeline_hi_5.5.0_3.0_1725927413988.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mbert_hindi_bengali_mlm_squad_tydi_mlqa_pipeline", lang = "hi")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mbert_hindi_bengali_mlm_squad_tydi_mlqa_pipeline", lang = "hi")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mbert_hindi_bengali_mlm_squad_tydi_mlqa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|hi|
+|Size:|663.7 MB|
+
+## References
+
+https://huggingface.co/hapandya/mBERT-hi-bn-MLM-SQuAD-TyDi-MLQA
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-mbert_quran_qa_en.md b/docs/_posts/ahmedlone127/2024-09-10-mbert_quran_qa_en.md
new file mode 100644
index 00000000000000..acba1ccea0b7c4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-mbert_quran_qa_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English mbert_quran_qa BertForQuestionAnswering from NeginShams
+author: John Snow Labs
+name: mbert_quran_qa
+date: 2024-09-10
+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.`mbert_quran_qa` is a English model originally trained by NeginShams.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mbert_quran_qa_en_5.5.0_3.0_1725926890035.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mbert_quran_qa_en_5.5.0_3.0_1725926890035.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mbert_quran_qa|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|625.6 MB|
+
+## References
+
+https://huggingface.co/NeginShams/mbert-Quran_QA
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-mbert_quran_qa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-mbert_quran_qa_pipeline_en.md
new file mode 100644
index 00000000000000..8180408023fb30
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-mbert_quran_qa_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English mbert_quran_qa_pipeline pipeline BertForQuestionAnswering from NeginShams
+author: John Snow Labs
+name: mbert_quran_qa_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 BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mbert_quran_qa_pipeline` is a English model originally trained by NeginShams.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mbert_quran_qa_pipeline_en_5.5.0_3.0_1725926919387.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mbert_quran_qa_pipeline_en_5.5.0_3.0_1725926919387.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mbert_quran_qa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mbert_quran_qa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mbert_quran_qa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|625.6 MB|
+
+## References
+
+https://huggingface.co/NeginShams/mbert-Quran_QA
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-medical_small_english_1_1v_en.md b/docs/_posts/ahmedlone127/2024-09-10-medical_small_english_1_1v_en.md
new file mode 100644
index 00000000000000..81fb24a3d43cd0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-medical_small_english_1_1v_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English medical_small_english_1_1v WhisperForCTC from Dev372
+author: John Snow Labs
+name: medical_small_english_1_1v
+date: 2024-09-10
+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.`medical_small_english_1_1v` is a English model originally trained by Dev372.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/medical_small_english_1_1v_en_5.5.0_3.0_1725941999531.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/medical_small_english_1_1v_en_5.5.0_3.0_1725941999531.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|medical_small_english_1_1v|
+|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/Dev372/Medical_small_en_1_1v
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-medical_small_english_1_1v_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-medical_small_english_1_1v_pipeline_en.md
new file mode 100644
index 00000000000000..75cc23c140d28b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-medical_small_english_1_1v_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English medical_small_english_1_1v_pipeline pipeline WhisperForCTC from Dev372
+author: John Snow Labs
+name: medical_small_english_1_1v_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.`medical_small_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_small_english_1_1v_pipeline_en_5.5.0_3.0_1725942082007.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/medical_small_english_1_1v_pipeline_en_5.5.0_3.0_1725942082007.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("medical_small_english_1_1v_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("medical_small_english_1_1v_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|medical_small_english_1_1v_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Dev372/Medical_small_en_1_1v
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-mini_phobert_v2_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-mini_phobert_v2_2_pipeline_en.md
new file mode 100644
index 00000000000000..2486b84b333813
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-mini_phobert_v2_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English mini_phobert_v2_2_pipeline pipeline RoBertaEmbeddings from keepitreal
+author: John Snow Labs
+name: mini_phobert_v2_2_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.`mini_phobert_v2_2_pipeline` is a English model originally trained by keepitreal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mini_phobert_v2_2_pipeline_en_5.5.0_3.0_1725937250439.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mini_phobert_v2_2_pipeline_en_5.5.0_3.0_1725937250439.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mini_phobert_v2_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mini_phobert_v2_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mini_phobert_v2_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|77.1 MB|
+
+## References
+
+https://huggingface.co/keepitreal/mini-phobert-v2.2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-mpnet_base_nli_v2_en.md b/docs/_posts/ahmedlone127/2024-09-10-mpnet_base_nli_v2_en.md
new file mode 100644
index 00000000000000..a172427c5fdf88
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-mpnet_base_nli_v2_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English mpnet_base_nli_v2 MPNetEmbeddings from manuel-couto-pintos
+author: John Snow Labs
+name: mpnet_base_nli_v2
+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.`mpnet_base_nli_v2` is a English model originally trained by manuel-couto-pintos.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mpnet_base_nli_v2_en_5.5.0_3.0_1725936224276.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mpnet_base_nli_v2_en_5.5.0_3.0_1725936224276.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mpnet_base_nli_v2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[mpnet]|
+|Language:|en|
+|Size:|379.3 MB|
+
+## References
+
+https://huggingface.co/manuel-couto-pintos/mpnet-base-nli-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-mpnet_frozen_newtriplets_lr_2e_7_m_1_e_5_en.md b/docs/_posts/ahmedlone127/2024-09-10-mpnet_frozen_newtriplets_lr_2e_7_m_1_e_5_en.md
new file mode 100644
index 00000000000000..bb28727209a86c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-mpnet_frozen_newtriplets_lr_2e_7_m_1_e_5_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English mpnet_frozen_newtriplets_lr_2e_7_m_1_e_5 MPNetEmbeddings from luiz-and-robert-thesis
+author: John Snow Labs
+name: mpnet_frozen_newtriplets_lr_2e_7_m_1_e_5
+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.`mpnet_frozen_newtriplets_lr_2e_7_m_1_e_5` is a English model originally trained by luiz-and-robert-thesis.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mpnet_frozen_newtriplets_lr_2e_7_m_1_e_5_en_5.5.0_3.0_1725964126237.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mpnet_frozen_newtriplets_lr_2e_7_m_1_e_5_en_5.5.0_3.0_1725964126237.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mpnet_frozen_newtriplets_lr_2e_7_m_1_e_5|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[mpnet]|
+|Language:|en|
+|Size:|406.7 MB|
+
+## References
+
+https://huggingface.co/luiz-and-robert-thesis/mpnet-frozen-newtriplets-lr-2e-7-m-1-e-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-mpnet_frozen_newtriplets_lr_2e_7_m_1_e_5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-mpnet_frozen_newtriplets_lr_2e_7_m_1_e_5_pipeline_en.md
new file mode 100644
index 00000000000000..170527e88a271f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-mpnet_frozen_newtriplets_lr_2e_7_m_1_e_5_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English mpnet_frozen_newtriplets_lr_2e_7_m_1_e_5_pipeline pipeline MPNetEmbeddings from luiz-and-robert-thesis
+author: John Snow Labs
+name: mpnet_frozen_newtriplets_lr_2e_7_m_1_e_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.`mpnet_frozen_newtriplets_lr_2e_7_m_1_e_5_pipeline` is a English model originally trained by luiz-and-robert-thesis.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mpnet_frozen_newtriplets_lr_2e_7_m_1_e_5_pipeline_en_5.5.0_3.0_1725964147619.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mpnet_frozen_newtriplets_lr_2e_7_m_1_e_5_pipeline_en_5.5.0_3.0_1725964147619.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mpnet_frozen_newtriplets_lr_2e_7_m_1_e_5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mpnet_frozen_newtriplets_lr_2e_7_m_1_e_5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mpnet_frozen_newtriplets_lr_2e_7_m_1_e_5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.7 MB|
+
+## References
+
+https://huggingface.co/luiz-and-robert-thesis/mpnet-frozen-newtriplets-lr-2e-7-m-1-e-5
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-msmarco_distilbert_word2vec256k_mlm_230k_en.md b/docs/_posts/ahmedlone127/2024-09-10-msmarco_distilbert_word2vec256k_mlm_230k_en.md
new file mode 100644
index 00000000000000..e3ec43f78dfc35
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-msmarco_distilbert_word2vec256k_mlm_230k_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English msmarco_distilbert_word2vec256k_mlm_230k DistilBertEmbeddings from vocab-transformers
+author: John Snow Labs
+name: msmarco_distilbert_word2vec256k_mlm_230k
+date: 2024-09-10
+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.`msmarco_distilbert_word2vec256k_mlm_230k` is a English model originally trained by vocab-transformers.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/msmarco_distilbert_word2vec256k_mlm_230k_en_5.5.0_3.0_1725946814967.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/msmarco_distilbert_word2vec256k_mlm_230k_en_5.5.0_3.0_1725946814967.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|msmarco_distilbert_word2vec256k_mlm_230k|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[distilbert]|
+|Language:|en|
+|Size:|885.6 MB|
+
+## References
+
+https://huggingface.co/vocab-transformers/msmarco-distilbert-word2vec256k-MLM_230k
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-msmarco_distilbert_word2vec256k_mlm_230k_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-msmarco_distilbert_word2vec256k_mlm_230k_pipeline_en.md
new file mode 100644
index 00000000000000..16f963977f0da1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-msmarco_distilbert_word2vec256k_mlm_230k_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English msmarco_distilbert_word2vec256k_mlm_230k_pipeline pipeline DistilBertEmbeddings from vocab-transformers
+author: John Snow Labs
+name: msmarco_distilbert_word2vec256k_mlm_230k_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 DistilBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`msmarco_distilbert_word2vec256k_mlm_230k_pipeline` is a English model originally trained by vocab-transformers.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/msmarco_distilbert_word2vec256k_mlm_230k_pipeline_en_5.5.0_3.0_1725946854491.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/msmarco_distilbert_word2vec256k_mlm_230k_pipeline_en_5.5.0_3.0_1725946854491.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("msmarco_distilbert_word2vec256k_mlm_230k_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("msmarco_distilbert_word2vec256k_mlm_230k_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|msmarco_distilbert_word2vec256k_mlm_230k_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|885.6 MB|
+
+## References
+
+https://huggingface.co/vocab-transformers/msmarco-distilbert-word2vec256k-MLM_230k
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-multi_sbert_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-multi_sbert_v2_pipeline_en.md
new file mode 100644
index 00000000000000..4ee5c47e4bee4c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-multi_sbert_v2_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English multi_sbert_v2_pipeline pipeline MPNetEmbeddings from Gnartiel
+author: John Snow Labs
+name: multi_sbert_v2_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.`multi_sbert_v2_pipeline` is a English model originally trained by Gnartiel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/multi_sbert_v2_pipeline_en_5.5.0_3.0_1725964021012.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/multi_sbert_v2_pipeline_en_5.5.0_3.0_1725964021012.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("multi_sbert_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("multi_sbert_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|multi_sbert_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/Gnartiel/multi-sbert-v2
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-nace2_level1_29_en.md b/docs/_posts/ahmedlone127/2024-09-10-nace2_level1_29_en.md
new file mode 100644
index 00000000000000..03937ea7b9d0d3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-nace2_level1_29_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English nace2_level1_29 RoBertaForSequenceClassification from intelcomp
+author: John Snow Labs
+name: nace2_level1_29
+date: 2024-09-10
+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.`nace2_level1_29` is a English model originally trained by intelcomp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nace2_level1_29_en_5.5.0_3.0_1725965707548.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nace2_level1_29_en_5.5.0_3.0_1725965707548.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nace2_level1_29|
+|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/intelcomp/nace2_level1_29
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-nace2_level1_29_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-nace2_level1_29_pipeline_en.md
new file mode 100644
index 00000000000000..88c59227066e76
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-nace2_level1_29_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English nace2_level1_29_pipeline pipeline RoBertaForSequenceClassification from intelcomp
+author: John Snow Labs
+name: nace2_level1_29_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.`nace2_level1_29_pipeline` is a English model originally trained by intelcomp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nace2_level1_29_pipeline_en_5.5.0_3.0_1725965780569.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nace2_level1_29_pipeline_en_5.5.0_3.0_1725965780569.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nace2_level1_29_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nace2_level1_29_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nace2_level1_29_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/intelcomp/nace2_level1_29
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-nietzschellm_en.md b/docs/_posts/ahmedlone127/2024-09-10-nietzschellm_en.md
new file mode 100644
index 00000000000000..c341b2ce9b395d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-nietzschellm_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English nietzschellm RoBertaEmbeddings from ferrarimarlon
+author: John Snow Labs
+name: nietzschellm
+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.`nietzschellm` is a English model originally trained by ferrarimarlon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nietzschellm_en_5.5.0_3.0_1725930499630.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nietzschellm_en_5.5.0_3.0_1725930499630.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nietzschellm|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|310.3 MB|
+
+## References
+
+https://huggingface.co/ferrarimarlon/nietzscheLLM
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-nlp_team_binarytoxicityclassifierforevaluationpurpose_en.md b/docs/_posts/ahmedlone127/2024-09-10-nlp_team_binarytoxicityclassifierforevaluationpurpose_en.md
new file mode 100644
index 00000000000000..9e490f7d5670b9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-nlp_team_binarytoxicityclassifierforevaluationpurpose_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English nlp_team_binarytoxicityclassifierforevaluationpurpose RoBertaForSequenceClassification from naman632
+author: John Snow Labs
+name: nlp_team_binarytoxicityclassifierforevaluationpurpose
+date: 2024-09-10
+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_team_binarytoxicityclassifierforevaluationpurpose` is a English model originally trained by naman632.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp_team_binarytoxicityclassifierforevaluationpurpose_en_5.5.0_3.0_1725965240357.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp_team_binarytoxicityclassifierforevaluationpurpose_en_5.5.0_3.0_1725965240357.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|output_mask_step_pretraining_plus_contr_roberta_large_epochs_1|
+|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/AnonymousSub/output_mask_step_pretraining_plus_contr_roberta-large_EPOCHS_1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-output_mask_step_pretraining_plus_contr_roberta_large_epochs_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-output_mask_step_pretraining_plus_contr_roberta_large_epochs_1_pipeline_en.md
new file mode 100644
index 00000000000000..ff20bb0a1dd9bc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-output_mask_step_pretraining_plus_contr_roberta_large_epochs_1_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English output_mask_step_pretraining_plus_contr_roberta_large_epochs_1_pipeline pipeline RoBertaForQuestionAnswering from AnonymousSub
+author: John Snow Labs
+name: output_mask_step_pretraining_plus_contr_roberta_large_epochs_1_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 RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`output_mask_step_pretraining_plus_contr_roberta_large_epochs_1_pipeline` is a English model originally trained by AnonymousSub.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/output_mask_step_pretraining_plus_contr_roberta_large_epochs_1_pipeline_en_5.5.0_3.0_1725959338529.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/output_mask_step_pretraining_plus_contr_roberta_large_epochs_1_pipeline_en_5.5.0_3.0_1725959338529.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("output_mask_step_pretraining_plus_contr_roberta_large_epochs_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("output_mask_step_pretraining_plus_contr_roberta_large_epochs_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|output_mask_step_pretraining_plus_contr_roberta_large_epochs_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/AnonymousSub/output_mask_step_pretraining_plus_contr_roberta-large_EPOCHS_1
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-parameter_psb_en.md b/docs/_posts/ahmedlone127/2024-09-10-parameter_psb_en.md
new file mode 100644
index 00000000000000..7cbb8fc89e0d9d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-parameter_psb_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English parameter_psb MPNetEmbeddings from nategro
+author: John Snow Labs
+name: parameter_psb
+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.`parameter_psb` is a English model originally trained by nategro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/parameter_psb_en_5.5.0_3.0_1725963422452.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/parameter_psb_en_5.5.0_3.0_1725963422452.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|parameter_psb|
+|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/nategro/parameter-psb
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-platzi_distilroberta_base_mrpc_glue_santirest_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-platzi_distilroberta_base_mrpc_glue_santirest_pipeline_en.md
new file mode 100644
index 00000000000000..55a62a6798abb4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-platzi_distilroberta_base_mrpc_glue_santirest_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English platzi_distilroberta_base_mrpc_glue_santirest_pipeline pipeline RoBertaForSequenceClassification from platzi
+author: John Snow Labs
+name: platzi_distilroberta_base_mrpc_glue_santirest_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.`platzi_distilroberta_base_mrpc_glue_santirest_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_santirest_pipeline_en_5.5.0_3.0_1725965960707.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/platzi_distilroberta_base_mrpc_glue_santirest_pipeline_en_5.5.0_3.0_1725965960707.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_santirest_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("platzi_distilroberta_base_mrpc_glue_santirest_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|platzi_distilroberta_base_mrpc_glue_santirest_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-santirest
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-q2d_ep3_1234_en.md b/docs/_posts/ahmedlone127/2024-09-10-q2d_ep3_1234_en.md
new file mode 100644
index 00000000000000..faac77d02cb845
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-q2d_ep3_1234_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English q2d_ep3_1234 MPNetEmbeddings from ingeol
+author: John Snow Labs
+name: q2d_ep3_1234
+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.`q2d_ep3_1234` is a English model originally trained by ingeol.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/q2d_ep3_1234_en_5.5.0_3.0_1725964065438.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/q2d_ep3_1234_en_5.5.0_3.0_1725964065438.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|qa_with_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/lazaroq11/qa_with_squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-regr_3_en.md b/docs/_posts/ahmedlone127/2024-09-10-regr_3_en.md
new file mode 100644
index 00000000000000..9d1428dcd59928
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-regr_3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English regr_3 RoBertaForSequenceClassification from BaronSch
+author: John Snow Labs
+name: regr_3
+date: 2024-09-10
+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.`regr_3` is a English model originally trained by BaronSch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/regr_3_en_5.5.0_3.0_1725965487603.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/regr_3_en_5.5.0_3.0_1725965487603.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|results_teng0929|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|465.1 MB|
+
+## References
+
+https://huggingface.co/teng0929/results
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-rmse_4_en.md b/docs/_posts/ahmedlone127/2024-09-10-rmse_4_en.md
new file mode 100644
index 00000000000000..4523d7ed732b44
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-rmse_4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English rmse_4 RoBertaForSequenceClassification from BaronSch
+author: John Snow Labs
+name: rmse_4
+date: 2024-09-10
+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.`rmse_4` is a English model originally trained by BaronSch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rmse_4_en_5.5.0_3.0_1725962042060.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rmse_4_en_5.5.0_3.0_1725962042060.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_100m_2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|296.1 MB|
+
+## References
+
+https://huggingface.co/nyu-mll/roberta-base-100M-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-roberta_base_10m_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-roberta_base_10m_2_pipeline_en.md
new file mode 100644
index 00000000000000..64fae8913039a8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-roberta_base_10m_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_10m_2_pipeline pipeline RoBertaEmbeddings from nyu-mll
+author: John Snow Labs
+name: roberta_base_10m_2_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_base_10m_2_pipeline` is a English model originally trained by nyu-mll.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_10m_2_pipeline_en_5.5.0_3.0_1725931136524.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_10m_2_pipeline_en_5.5.0_3.0_1725931136524.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_10m_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_10m_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_10m_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|296.2 MB|
+
+## References
+
+https://huggingface.co/nyu-mll/roberta-base-10M-2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-roberta_base_finetuned_squad_nlp_course_chapter7_section6_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-roberta_base_finetuned_squad_nlp_course_chapter7_section6_pipeline_en.md
new file mode 100644
index 00000000000000..a5ccc07609194b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-roberta_base_finetuned_squad_nlp_course_chapter7_section6_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_base_finetuned_squad_nlp_course_chapter7_section6_pipeline pipeline RoBertaForQuestionAnswering from BanUrsus
+author: John Snow Labs
+name: roberta_base_finetuned_squad_nlp_course_chapter7_section6_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 RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_squad_nlp_course_chapter7_section6_pipeline` is a English model originally trained by BanUrsus.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_squad_nlp_course_chapter7_section6_pipeline_en_5.5.0_3.0_1725958980432.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_squad_nlp_course_chapter7_section6_pipeline_en_5.5.0_3.0_1725958980432.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_nlp_course_chapter7_section6_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_finetuned_squad_nlp_course_chapter7_section6_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_squad_nlp_course_chapter7_section6_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|461.9 MB|
+
+## References
+
+https://huggingface.co/BanUrsus/roberta-base-finetuned-squad_nlp-course-chapter7-section6
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-roberta_base_finetuned_squad_v2_hcy5561_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-roberta_base_finetuned_squad_v2_hcy5561_pipeline_en.md
new file mode 100644
index 00000000000000..4c44908c5e8165
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-roberta_base_finetuned_squad_v2_hcy5561_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_base_finetuned_squad_v2_hcy5561_pipeline pipeline RoBertaForQuestionAnswering from hcy5561
+author: John Snow Labs
+name: roberta_base_finetuned_squad_v2_hcy5561_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 RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_squad_v2_hcy5561_pipeline` is a English model originally trained by hcy5561.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_squad_v2_hcy5561_pipeline_en_5.5.0_3.0_1725958789314.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_squad_v2_hcy5561_pipeline_en_5.5.0_3.0_1725958789314.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_v2_hcy5561_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_finetuned_squad_v2_hcy5561_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_squad_v2_hcy5561_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|462.0 MB|
+
+## References
+
+https://huggingface.co/hcy5561/roberta-base-finetuned-squad_v2
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-roberta_base_finetuned_wallisian_whisper_8ep_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-roberta_base_finetuned_wallisian_whisper_8ep_pipeline_en.md
new file mode 100644
index 00000000000000..3abbcff8618f7f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-roberta_base_finetuned_wallisian_whisper_8ep_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_finetuned_wallisian_whisper_8ep_pipeline pipeline RoBertaEmbeddings from btamm12
+author: John Snow Labs
+name: roberta_base_finetuned_wallisian_whisper_8ep_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_base_finetuned_wallisian_whisper_8ep_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_8ep_pipeline_en_5.5.0_3.0_1725937487398.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_wallisian_whisper_8ep_pipeline_en_5.5.0_3.0_1725937487398.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_8ep_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_finetuned_wallisian_whisper_8ep_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_wallisian_whisper_8ep_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-8ep
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-roberta_base_imdb_trained_en.md b/docs/_posts/ahmedlone127/2024-09-10-roberta_base_imdb_trained_en.md
new file mode 100644
index 00000000000000..80aab4bbd77ab3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-roberta_base_imdb_trained_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_imdb_trained RoBertaForSequenceClassification from JakobKaiser
+author: John Snow Labs
+name: roberta_base_imdb_trained
+date: 2024-09-10
+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_imdb_trained` is a English model originally trained by JakobKaiser.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_imdb_trained_en_5.5.0_3.0_1725962177976.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_imdb_trained_en_5.5.0_3.0_1725962177976.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_char_acl2023|
+|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/hitachi-nlp/roberta-base_last-char_acl2023
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-roberta_base_last_char_acl2023_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-roberta_base_last_char_acl2023_pipeline_en.md
new file mode 100644
index 00000000000000..1505ab4f57a881
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-roberta_base_last_char_acl2023_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_last_char_acl2023_pipeline pipeline RoBertaEmbeddings from hitachi-nlp
+author: John Snow Labs
+name: roberta_base_last_char_acl2023_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_base_last_char_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_char_acl2023_pipeline_en_5.5.0_3.0_1725931227004.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_last_char_acl2023_pipeline_en_5.5.0_3.0_1725931227004.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_last_char_acl2023_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_last_char_acl2023_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_last_char_acl2023_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|465.9 MB|
+
+## References
+
+https://huggingface.co/hitachi-nlp/roberta-base_last-char_acl2023
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-roberta_base_roberta_model_enyonam_en.md b/docs/_posts/ahmedlone127/2024-09-10-roberta_base_roberta_model_enyonam_en.md
new file mode 100644
index 00000000000000..240dd9d060c9f3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-roberta_base_roberta_model_enyonam_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_roberta_model_enyonam RoBertaForSequenceClassification from Enyonam
+author: John Snow Labs
+name: roberta_base_roberta_model_enyonam
+date: 2024-09-10
+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_roberta_model_enyonam` is a English model originally trained by Enyonam.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_roberta_model_enyonam_en_5.5.0_3.0_1725962592596.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_roberta_model_enyonam_en_5.5.0_3.0_1725962592596.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_roberta_model_enyonam|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|424.6 MB|
+
+## References
+
+https://huggingface.co/Enyonam/roberta-base-Roberta-Model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-roberta_finetuned_medquad_3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-roberta_finetuned_medquad_3_pipeline_en.md
new file mode 100644
index 00000000000000..4fa473edeb06ae
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-roberta_finetuned_medquad_3_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_finetuned_medquad_3_pipeline pipeline RoBertaForQuestionAnswering from DataScientist1122
+author: John Snow Labs
+name: roberta_finetuned_medquad_3_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 RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_finetuned_medquad_3_pipeline` is a English model originally trained by DataScientist1122.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_medquad_3_pipeline_en_5.5.0_3.0_1725959160403.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_medquad_3_pipeline_en_5.5.0_3.0_1725959160403.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_finetuned_medquad_3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_finetuned_medquad_3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_finetuned_medquad_3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|443.8 MB|
+
+## References
+
+https://huggingface.co/DataScientist1122/roberta-finetuned-medquad_3
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-roberta_finetuned_qa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-roberta_finetuned_qa_pipeline_en.md
new file mode 100644
index 00000000000000..1a945c85bd664c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-roberta_finetuned_qa_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_finetuned_qa_pipeline pipeline RoBertaForQuestionAnswering from malizade
+author: John Snow Labs
+name: roberta_finetuned_qa_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 RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_finetuned_qa_pipeline` is a English model originally trained by malizade.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_qa_pipeline_en_5.5.0_3.0_1725958623358.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_qa_pipeline_en_5.5.0_3.0_1725958623358.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_finetuned_qa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_finetuned_qa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_finetuned_qa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|463.6 MB|
+
+## References
+
+https://huggingface.co/malizade/roberta-finetuned-QA
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-roberta_finetuned_subjqa_movies_2_ethegem_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-roberta_finetuned_subjqa_movies_2_ethegem_pipeline_en.md
new file mode 100644
index 00000000000000..e5ad20b5825657
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-roberta_finetuned_subjqa_movies_2_ethegem_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_finetuned_subjqa_movies_2_ethegem_pipeline pipeline RoBertaForQuestionAnswering from Ethegem
+author: John Snow Labs
+name: roberta_finetuned_subjqa_movies_2_ethegem_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 RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_finetuned_subjqa_movies_2_ethegem_pipeline` is a English model originally trained by Ethegem.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_subjqa_movies_2_ethegem_pipeline_en_5.5.0_3.0_1725958490216.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_subjqa_movies_2_ethegem_pipeline_en_5.5.0_3.0_1725958490216.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_finetuned_subjqa_movies_2_ethegem_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_finetuned_subjqa_movies_2_ethegem_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_finetuned_subjqa_movies_2_ethegem_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|464.1 MB|
+
+## References
+
+https://huggingface.co/Ethegem/roberta-finetuned-subjqa-movies_2
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-roberta_finetuned_vitaminc_50k_en.md b/docs/_posts/ahmedlone127/2024-09-10-roberta_finetuned_vitaminc_50k_en.md
new file mode 100644
index 00000000000000..8f4886f1f54c7a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-roberta_finetuned_vitaminc_50k_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_finetuned_vitaminc_50k RoBertaForSequenceClassification from kamileyagci
+author: John Snow Labs
+name: roberta_finetuned_vitaminc_50k
+date: 2024-09-10
+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_finetuned_vitaminc_50k` is a English model originally trained by kamileyagci.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_vitaminc_50k_en_5.5.0_3.0_1725962901685.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_vitaminc_50k_en_5.5.0_3.0_1725962901685.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_pile_lr2e_5_bs16_8gpu_1700000|
+|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/socialfoundations/roberta-large-pile-lr2e-5-bs16-8gpu-1700000
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-roberta_reman_tec_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-roberta_reman_tec_pipeline_en.md
new file mode 100644
index 00000000000000..882a0e913da933
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-roberta_reman_tec_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_reman_tec_pipeline pipeline RoBertaForSequenceClassification from gustavecortal
+author: John Snow Labs
+name: roberta_reman_tec_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.`roberta_reman_tec_pipeline` is a English model originally trained by gustavecortal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_reman_tec_pipeline_en_5.5.0_3.0_1725965411464.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_reman_tec_pipeline_en_5.5.0_3.0_1725965411464.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_reman_tec_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_reman_tec_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_reman_tec_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.1 MB|
+
+## References
+
+https://huggingface.co/gustavecortal/roberta-reman-tec
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-roberta_stance_compqa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-roberta_stance_compqa_pipeline_en.md
new file mode 100644
index 00000000000000..74ec6e959b75fd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-roberta_stance_compqa_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_stance_compqa_pipeline pipeline RoBertaForSequenceClassification from lilaspourpre
+author: John Snow Labs
+name: roberta_stance_compqa_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.`roberta_stance_compqa_pipeline` is a English model originally trained by lilaspourpre.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_stance_compqa_pipeline_en_5.5.0_3.0_1725965460011.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_stance_compqa_pipeline_en_5.5.0_3.0_1725965460011.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_stance_compqa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_stance_compqa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_stance_compqa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/lilaspourpre/roberta-stance-compqa
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-roberta_tajik_tg.md b/docs/_posts/ahmedlone127/2024-09-10-roberta_tajik_tg.md
new file mode 100644
index 00000000000000..b50c45a33d1a30
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-roberta_tajik_tg.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Tajik roberta_tajik RoBertaEmbeddings from muhtasham
+author: John Snow Labs
+name: roberta_tajik
+date: 2024-09-10
+tags: [tg, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: tg
+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_tajik` is a Tajik model originally trained by muhtasham.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_tajik_tg_5.5.0_3.0_1725930615944.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_tajik_tg_5.5.0_3.0_1725930615944.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_tajik|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|tg|
+|Size:|311.7 MB|
+
+## References
+
+https://huggingface.co/muhtasham/RoBERTa-tg
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-roberta_updated_model_02b_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-roberta_updated_model_02b_pipeline_en.md
new file mode 100644
index 00000000000000..55ac26a55d7521
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-roberta_updated_model_02b_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_updated_model_02b_pipeline pipeline RoBertaForQuestionAnswering from Naima12
+author: John Snow Labs
+name: roberta_updated_model_02b_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 RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_updated_model_02b_pipeline` is a English model originally trained by Naima12.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_updated_model_02b_pipeline_en_5.5.0_3.0_1725958629827.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_updated_model_02b_pipeline_en_5.5.0_3.0_1725958629827.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_updated_model_02b_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_updated_model_02b_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_updated_model_02b_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|422.6 MB|
+
+## References
+
+https://huggingface.co/Naima12/RoBERTa-Updated-Model_02B
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-robertita_cased_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2024-09-10-robertita_cased_finetuned_squad_en.md
new file mode 100644
index 00000000000000..917207d66f41dc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-robertita_cased_finetuned_squad_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English robertita_cased_finetuned_squad RoBertaForQuestionAnswering from luischir
+author: John Snow Labs
+name: robertita_cased_finetuned_squad
+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.`robertita_cased_finetuned_squad` is a English model originally trained by luischir.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/robertita_cased_finetuned_squad_en_5.5.0_3.0_1725958907487.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/robertita_cased_finetuned_squad_en_5.5.0_3.0_1725958907487.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sean_question_answering_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/SeanKuehl/Sean_Question_Answering_Model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-sean_question_answering_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-sean_question_answering_model_pipeline_en.md
new file mode 100644
index 00000000000000..c8abfa2eaee0f9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-sean_question_answering_model_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English sean_question_answering_model_pipeline pipeline DistilBertForQuestionAnswering from SeanKuehl
+author: John Snow Labs
+name: sean_question_answering_model_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.`sean_question_answering_model_pipeline` is a English model originally trained by SeanKuehl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sean_question_answering_model_pipeline_en_5.5.0_3.0_1725932589616.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sean_question_answering_model_pipeline_en_5.5.0_3.0_1725932589616.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sean_question_answering_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sean_question_answering_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sean_question_answering_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/SeanKuehl/Sean_Question_Answering_Model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-semeval2020_task11_sinhalese_en.md b/docs/_posts/ahmedlone127/2024-09-10-semeval2020_task11_sinhalese_en.md
new file mode 100644
index 00000000000000..e265406a2c9aa7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-semeval2020_task11_sinhalese_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English semeval2020_task11_sinhalese RoBertaEmbeddings from tuscan-chicken-wrap
+author: John Snow Labs
+name: semeval2020_task11_sinhalese
+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.`semeval2020_task11_sinhalese` is a English model originally trained by tuscan-chicken-wrap.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/semeval2020_task11_sinhalese_en_5.5.0_3.0_1725931118865.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/semeval2020_task11_sinhalese_en_5.5.0_3.0_1725931118865.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|semeval2020_task11_sinhalese|
+|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/tuscan-chicken-wrap/semeval2020_task11_si
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-semeval2020_task11_sinhalese_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-semeval2020_task11_sinhalese_pipeline_en.md
new file mode 100644
index 00000000000000..fb4c80bc22e9f4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-semeval2020_task11_sinhalese_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English semeval2020_task11_sinhalese_pipeline pipeline RoBertaEmbeddings from tuscan-chicken-wrap
+author: John Snow Labs
+name: semeval2020_task11_sinhalese_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.`semeval2020_task11_sinhalese_pipeline` is a English model originally trained by tuscan-chicken-wrap.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/semeval2020_task11_sinhalese_pipeline_en_5.5.0_3.0_1725931181196.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/semeval2020_task11_sinhalese_pipeline_en_5.5.0_3.0_1725931181196.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("semeval2020_task11_sinhalese_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("semeval2020_task11_sinhalese_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|semeval2020_task11_sinhalese_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tuscan-chicken-wrap/semeval2020_task11_si
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-sentiment_bert_large_e8_b16_en.md b/docs/_posts/ahmedlone127/2024-09-10-sentiment_bert_large_e8_b16_en.md
new file mode 100644
index 00000000000000..a62208228b077a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-sentiment_bert_large_e8_b16_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sentiment_bert_large_e8_b16 RoBertaForSequenceClassification from JerryYanJiang
+author: John Snow Labs
+name: sentiment_bert_large_e8_b16
+date: 2024-09-10
+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_bert_large_e8_b16` is a English model originally trained by JerryYanJiang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_bert_large_e8_b16_en_5.5.0_3.0_1725962725391.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_bert_large_e8_b16_en_5.5.0_3.0_1725962725391.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_bert_large_e8_b16|
+|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/JerryYanJiang/sentiment-bert-large-e8-b16
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-sentiment_bert_large_e8_b16_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-sentiment_bert_large_e8_b16_pipeline_en.md
new file mode 100644
index 00000000000000..73be28fda98a0e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-sentiment_bert_large_e8_b16_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sentiment_bert_large_e8_b16_pipeline pipeline RoBertaForSequenceClassification from JerryYanJiang
+author: John Snow Labs
+name: sentiment_bert_large_e8_b16_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.`sentiment_bert_large_e8_b16_pipeline` is a English model originally trained by JerryYanJiang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_bert_large_e8_b16_pipeline_en_5.5.0_3.0_1725962792752.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_bert_large_e8_b16_pipeline_en_5.5.0_3.0_1725962792752.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sentiment_bert_large_e8_b16_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sentiment_bert_large_e8_b16_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_bert_large_e8_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-bert-large-e8-b16
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-somd_xlm_stage1_v1_en.md b/docs/_posts/ahmedlone127/2024-09-10-somd_xlm_stage1_v1_en.md
new file mode 100644
index 00000000000000..18ad49b4a1b7b9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-somd_xlm_stage1_v1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English somd_xlm_stage1_v1 XlmRoBertaForTokenClassification from ThuyNT03
+author: John Snow Labs
+name: somd_xlm_stage1_v1
+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.`somd_xlm_stage1_v1` is a English model originally trained by ThuyNT03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/somd_xlm_stage1_v1_en_5.5.0_3.0_1725929289048.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/somd_xlm_stage1_v1_en_5.5.0_3.0_1725929289048.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|somd_xlm_stage1_v1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|797.6 MB|
+
+## References
+
+https://huggingface.co/ThuyNT03/SOMD-xlm-stage1-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-southern_sotho_all_mpnet_finetuned_comb_1500_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-southern_sotho_all_mpnet_finetuned_comb_1500_pipeline_en.md
new file mode 100644
index 00000000000000..313b364f79ac36
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-southern_sotho_all_mpnet_finetuned_comb_1500_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English southern_sotho_all_mpnet_finetuned_comb_1500_pipeline pipeline MPNetEmbeddings from danfeg
+author: John Snow Labs
+name: southern_sotho_all_mpnet_finetuned_comb_1500_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_comb_1500_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_comb_1500_pipeline_en_5.5.0_3.0_1725963969692.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/southern_sotho_all_mpnet_finetuned_comb_1500_pipeline_en_5.5.0_3.0_1725963969692.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_comb_1500_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("southern_sotho_all_mpnet_finetuned_comb_1500_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|southern_sotho_all_mpnet_finetuned_comb_1500_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/danfeg/ST-ALL-MPNET_Finetuned-COMB-1500
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-spbert_mlm_zero_en.md b/docs/_posts/ahmedlone127/2024-09-10-spbert_mlm_zero_en.md
new file mode 100644
index 00000000000000..0025561d521c14
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-spbert_mlm_zero_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English spbert_mlm_zero BertForQuestionAnswering from razent
+author: John Snow Labs
+name: spbert_mlm_zero
+date: 2024-09-10
+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.`spbert_mlm_zero` is a English model originally trained by razent.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/spbert_mlm_zero_en_5.5.0_3.0_1725926620557.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/spbert_mlm_zero_en_5.5.0_3.0_1725926620557.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|spbert_mlm_zero|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|403.1 MB|
+
+## References
+
+https://huggingface.co/razent/spbert-mlm-zero
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-spbert_mlm_zero_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-spbert_mlm_zero_pipeline_en.md
new file mode 100644
index 00000000000000..511c9e2da937f1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-spbert_mlm_zero_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English spbert_mlm_zero_pipeline pipeline BertForQuestionAnswering from razent
+author: John Snow Labs
+name: spbert_mlm_zero_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 BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`spbert_mlm_zero_pipeline` is a English model originally trained by razent.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/spbert_mlm_zero_pipeline_en_5.5.0_3.0_1725926639859.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/spbert_mlm_zero_pipeline_en_5.5.0_3.0_1725926639859.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("spbert_mlm_zero_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("spbert_mlm_zero_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|spbert_mlm_zero_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.2 MB|
+
+## References
+
+https://huggingface.co/razent/spbert-mlm-zero
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-squad_clip_text_3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-squad_clip_text_3_pipeline_en.md
new file mode 100644
index 00000000000000..2408392ba30f26
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-squad_clip_text_3_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English squad_clip_text_3_pipeline pipeline RoBertaForQuestionAnswering from AnonymousSub
+author: John Snow Labs
+name: squad_clip_text_3_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 RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`squad_clip_text_3_pipeline` is a English model originally trained by AnonymousSub.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/squad_clip_text_3_pipeline_en_5.5.0_3.0_1725959159251.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/squad_clip_text_3_pipeline_en_5.5.0_3.0_1725959159251.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("squad_clip_text_3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("squad_clip_text_3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|squad_clip_text_3_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/SQuAD_CLIP_text_3
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-squad_qa_model_jamesmcmill_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-squad_qa_model_jamesmcmill_pipeline_en.md
new file mode 100644
index 00000000000000..9682f085747c37
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-squad_qa_model_jamesmcmill_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English squad_qa_model_jamesmcmill_pipeline pipeline DistilBertForQuestionAnswering from JamesMcMill
+author: John Snow Labs
+name: squad_qa_model_jamesmcmill_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.`squad_qa_model_jamesmcmill_pipeline` is a English model originally trained by JamesMcMill.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/squad_qa_model_jamesmcmill_pipeline_en_5.5.0_3.0_1725960056284.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/squad_qa_model_jamesmcmill_pipeline_en_5.5.0_3.0_1725960056284.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("squad_qa_model_jamesmcmill_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("squad_qa_model_jamesmcmill_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|squad_qa_model_jamesmcmill_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/JamesMcMill/squad_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-takalane_sot_roberta_en.md b/docs/_posts/ahmedlone127/2024-09-10-takalane_sot_roberta_en.md
new file mode 100644
index 00000000000000..6e3173e5684176
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-takalane_sot_roberta_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English takalane_sot_roberta RoBertaEmbeddings from jannesg
+author: John Snow Labs
+name: takalane_sot_roberta
+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.`takalane_sot_roberta` is a English model originally trained by jannesg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/takalane_sot_roberta_en_5.5.0_3.0_1725931487927.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/takalane_sot_roberta_en_5.5.0_3.0_1725931487927.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_rag_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/Artix1806/test_rag_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-training_v2_pipeline_ru.md b/docs/_posts/ahmedlone127/2024-09-10-training_v2_pipeline_ru.md
new file mode 100644
index 00000000000000..47d95073c12948
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-training_v2_pipeline_ru.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Russian training_v2_pipeline pipeline WhisperForCTC from SofiaK
+author: John Snow Labs
+name: training_v2_pipeline
+date: 2024-09-10
+tags: [ru, open_source, pipeline, onnx]
+task: Automatic Speech 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 WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`training_v2_pipeline` is a Russian model originally trained by SofiaK.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/training_v2_pipeline_ru_5.5.0_3.0_1725949074303.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/training_v2_pipeline_ru_5.5.0_3.0_1725949074303.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("training_v2_pipeline", lang = "ru")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("training_v2_pipeline", lang = "ru")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|training_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ru|
+|Size:|641.7 MB|
+
+## References
+
+https://huggingface.co/SofiaK/training-v2
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-twiiter_try8_fold0_en.md b/docs/_posts/ahmedlone127/2024-09-10-twiiter_try8_fold0_en.md
new file mode 100644
index 00000000000000..833b2085e4f2cc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-twiiter_try8_fold0_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English twiiter_try8_fold0 RoBertaForSequenceClassification from yanezh
+author: John Snow Labs
+name: twiiter_try8_fold0
+date: 2024-09-10
+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_fold0` is a English model originally trained by yanezh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twiiter_try8_fold0_en_5.5.0_3.0_1725966205765.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twiiter_try8_fold0_en_5.5.0_3.0_1725966205765.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_fold0|
+|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_fold0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-twitter_roberta_base_dec2021_emotion_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-twitter_roberta_base_dec2021_emotion_pipeline_en.md
new file mode 100644
index 00000000000000..3bb8d8b5602e7c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-twitter_roberta_base_dec2021_emotion_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English twitter_roberta_base_dec2021_emotion_pipeline pipeline RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: twitter_roberta_base_dec2021_emotion_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.`twitter_roberta_base_dec2021_emotion_pipeline` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_dec2021_emotion_pipeline_en_5.5.0_3.0_1725964826514.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_dec2021_emotion_pipeline_en_5.5.0_3.0_1725964826514.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("twitter_roberta_base_dec2021_emotion_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("twitter_roberta_base_dec2021_emotion_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_dec2021_emotion_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-dec2021-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-whisper_asr_atc_v6_en.md b/docs/_posts/ahmedlone127/2024-09-10-whisper_asr_atc_v6_en.md
new file mode 100644
index 00000000000000..f406a511f0025a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-whisper_asr_atc_v6_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_asr_atc_v6 WhisperForCTC from AshtonLKY
+author: John Snow Labs
+name: whisper_asr_atc_v6
+date: 2024-09-10
+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_asr_atc_v6` is a English model originally trained by AshtonLKY.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_asr_atc_v6_en_5.5.0_3.0_1725944039465.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_asr_atc_v6_en_5.5.0_3.0_1725944039465.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_asr_atc_v6|
+|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/AshtonLKY/Whisper_ASR_ATC_v6
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-whisper_asr_atc_v6_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-whisper_asr_atc_v6_pipeline_en.md
new file mode 100644
index 00000000000000..d9a830cb3873a8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-whisper_asr_atc_v6_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_asr_atc_v6_pipeline pipeline WhisperForCTC from AshtonLKY
+author: John Snow Labs
+name: whisper_asr_atc_v6_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_asr_atc_v6_pipeline` is a English model originally trained by AshtonLKY.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_asr_atc_v6_pipeline_en_5.5.0_3.0_1725944127633.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_asr_atc_v6_pipeline_en_5.5.0_3.0_1725944127633.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_asr_atc_v6_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_asr_atc_v6_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_asr_atc_v6_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/AshtonLKY/Whisper_ASR_ATC_v6
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-whisper_base_russian_whitemouse84_pipeline_ru.md b/docs/_posts/ahmedlone127/2024-09-10-whisper_base_russian_whitemouse84_pipeline_ru.md
new file mode 100644
index 00000000000000..f77643b57ffae3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-whisper_base_russian_whitemouse84_pipeline_ru.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Russian whisper_base_russian_whitemouse84_pipeline pipeline WhisperForCTC from whitemouse84
+author: John Snow Labs
+name: whisper_base_russian_whitemouse84_pipeline
+date: 2024-09-10
+tags: [ru, open_source, pipeline, onnx]
+task: Automatic Speech 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 WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_base_russian_whitemouse84_pipeline` is a Russian model originally trained by whitemouse84.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_base_russian_whitemouse84_pipeline_ru_5.5.0_3.0_1725939962369.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_base_russian_whitemouse84_pipeline_ru_5.5.0_3.0_1725939962369.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_base_russian_whitemouse84_pipeline", lang = "ru")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_base_russian_whitemouse84_pipeline", lang = "ru")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_base_russian_whitemouse84_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ru|
+|Size:|642.0 MB|
+
+## References
+
+https://huggingface.co/whitemouse84/whisper-base-ru
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-whisper_base_russian_whitemouse84_ru.md b/docs/_posts/ahmedlone127/2024-09-10-whisper_base_russian_whitemouse84_ru.md
new file mode 100644
index 00000000000000..5e48c8212d4634
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-whisper_base_russian_whitemouse84_ru.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Russian whisper_base_russian_whitemouse84 WhisperForCTC from whitemouse84
+author: John Snow Labs
+name: whisper_base_russian_whitemouse84
+date: 2024-09-10
+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_base_russian_whitemouse84` is a Russian model originally trained by whitemouse84.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_base_russian_whitemouse84_ru_5.5.0_3.0_1725939931166.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_base_russian_whitemouse84_ru_5.5.0_3.0_1725939931166.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_raghadalghonaim|
+|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/raghadalghonaim/whisper-small-ar
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-whisper_small_chinese_hanson92828_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-whisper_small_chinese_hanson92828_pipeline_en.md
new file mode 100644
index 00000000000000..d04221023d8171
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-whisper_small_chinese_hanson92828_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_chinese_hanson92828_pipeline pipeline WhisperForCTC from hanson92828
+author: John Snow Labs
+name: whisper_small_chinese_hanson92828_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_chinese_hanson92828_pipeline` is a English model originally trained by hanson92828.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_chinese_hanson92828_pipeline_en_5.5.0_3.0_1725940256295.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_chinese_hanson92828_pipeline_en_5.5.0_3.0_1725940256295.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_chinese_hanson92828_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_chinese_hanson92828_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_chinese_hanson92828_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/hanson92828/whisper-small-chinese
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-whisper_small_divehi_sanchit_gandhi_dv.md b/docs/_posts/ahmedlone127/2024-09-10-whisper_small_divehi_sanchit_gandhi_dv.md
new file mode 100644
index 00000000000000..693a36865d9aac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-whisper_small_divehi_sanchit_gandhi_dv.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Dhivehi, Divehi, Maldivian whisper_small_divehi_sanchit_gandhi WhisperForCTC from sanchit-gandhi
+author: John Snow Labs
+name: whisper_small_divehi_sanchit_gandhi
+date: 2024-09-10
+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_sanchit_gandhi` is a Dhivehi, Divehi, Maldivian model originally trained by sanchit-gandhi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_divehi_sanchit_gandhi_dv_5.5.0_3.0_1725942438806.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_divehi_sanchit_gandhi_dv_5.5.0_3.0_1725942438806.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_eg|
+|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/tawreck-hasaballah/whisper-small-eg
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-whisper_small_eg_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-whisper_small_eg_pipeline_en.md
new file mode 100644
index 00000000000000..020d2775a4995e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-whisper_small_eg_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_eg_pipeline pipeline WhisperForCTC from tawreck-hasaballah
+author: John Snow Labs
+name: whisper_small_eg_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_eg_pipeline` is a English model originally trained by tawreck-hasaballah.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_eg_pipeline_en_5.5.0_3.0_1725940441158.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_eg_pipeline_en_5.5.0_3.0_1725940441158.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 = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_eg_pipeline", lang = "en")
+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:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/tawreck-hasaballah/whisper-small-eg
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-whisper_small_hindi_harshitjoshi_hi.md b/docs/_posts/ahmedlone127/2024-09-10-whisper_small_hindi_harshitjoshi_hi.md
new file mode 100644
index 00000000000000..bc08947226e3cd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-whisper_small_hindi_harshitjoshi_hi.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Hindi whisper_small_hindi_harshitjoshi WhisperForCTC from HarshitJoshi
+author: John Snow Labs
+name: whisper_small_hindi_harshitjoshi
+date: 2024-09-10
+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_harshitjoshi` is a Hindi model originally trained by HarshitJoshi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_harshitjoshi_hi_5.5.0_3.0_1725944771007.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_harshitjoshi_hi_5.5.0_3.0_1725944771007.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_harshitjoshi|
+|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/HarshitJoshi/whisper-small-Hindi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-whisper_small_hindi_harshitjoshi_pipeline_hi.md b/docs/_posts/ahmedlone127/2024-09-10-whisper_small_hindi_harshitjoshi_pipeline_hi.md
new file mode 100644
index 00000000000000..c324ffc19502a8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-whisper_small_hindi_harshitjoshi_pipeline_hi.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Hindi whisper_small_hindi_harshitjoshi_pipeline pipeline WhisperForCTC from HarshitJoshi
+author: John Snow Labs
+name: whisper_small_hindi_harshitjoshi_pipeline
+date: 2024-09-10
+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_harshitjoshi_pipeline` is a Hindi model originally trained by HarshitJoshi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_harshitjoshi_pipeline_hi_5.5.0_3.0_1725944855629.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_harshitjoshi_pipeline_hi_5.5.0_3.0_1725944855629.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_hindi_harshitjoshi_pipeline", lang = "hi")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_hindi_harshitjoshi_pipeline", lang = "hi")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_hindi_harshitjoshi_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|hi|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/HarshitJoshi/whisper-small-Hindi
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-whisper_small_hindi_tortoise17_hi.md b/docs/_posts/ahmedlone127/2024-09-10-whisper_small_hindi_tortoise17_hi.md
new file mode 100644
index 00000000000000..db1020c3da372c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-whisper_small_hindi_tortoise17_hi.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Hindi whisper_small_hindi_tortoise17 WhisperForCTC from Tortoise17
+author: John Snow Labs
+name: whisper_small_hindi_tortoise17
+date: 2024-09-10
+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_tortoise17` is a Hindi model originally trained by Tortoise17.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_tortoise17_hi_5.5.0_3.0_1725954598483.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_tortoise17_hi_5.5.0_3.0_1725954598483.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_tortoise17|
+|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/Tortoise17/whisper-small-hi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-whisper_small_hindi_tortoise17_pipeline_hi.md b/docs/_posts/ahmedlone127/2024-09-10-whisper_small_hindi_tortoise17_pipeline_hi.md
new file mode 100644
index 00000000000000..daa14b770281fb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-whisper_small_hindi_tortoise17_pipeline_hi.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Hindi whisper_small_hindi_tortoise17_pipeline pipeline WhisperForCTC from Tortoise17
+author: John Snow Labs
+name: whisper_small_hindi_tortoise17_pipeline
+date: 2024-09-10
+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_tortoise17_pipeline` is a Hindi model originally trained by Tortoise17.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_tortoise17_pipeline_hi_5.5.0_3.0_1725954880855.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_tortoise17_pipeline_hi_5.5.0_3.0_1725954880855.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_hindi_tortoise17_pipeline", lang = "hi")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_hindi_tortoise17_pipeline", lang = "hi")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_hindi_tortoise17_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|hi|
+|Size:|1.1 GB|
+
+## References
+
+https://huggingface.co/Tortoise17/whisper-small-hi
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-whisper_small_init_en.md b/docs/_posts/ahmedlone127/2024-09-10-whisper_small_init_en.md
new file mode 100644
index 00000000000000..0d2ea517751d13
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-whisper_small_init_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_small_init WhisperForCTC from marccgrau
+author: John Snow Labs
+name: whisper_small_init
+date: 2024-09-10
+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_init` is a English model originally trained by marccgrau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_init_en_5.5.0_3.0_1725942441183.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_init_en_5.5.0_3.0_1725942441183.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_init|
+|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/marccgrau/whisper-small-init
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-whisper_small_init_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-whisper_small_init_pipeline_en.md
new file mode 100644
index 00000000000000..8f806b1b799646
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-whisper_small_init_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_init_pipeline pipeline WhisperForCTC from marccgrau
+author: John Snow Labs
+name: whisper_small_init_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_init_pipeline` is a English model originally trained by marccgrau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_init_pipeline_en_5.5.0_3.0_1725942531219.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_init_pipeline_en_5.5.0_3.0_1725942531219.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_init_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_init_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_init_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/marccgrau/whisper-small-init
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-whisper_small_punjabi_pipeline_pa.md b/docs/_posts/ahmedlone127/2024-09-10-whisper_small_punjabi_pipeline_pa.md
new file mode 100644
index 00000000000000..451b66846a6eed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-whisper_small_punjabi_pipeline_pa.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Panjabi, Punjabi whisper_small_punjabi_pipeline pipeline WhisperForCTC from nayaniiii
+author: John Snow Labs
+name: whisper_small_punjabi_pipeline
+date: 2024-09-10
+tags: [pa, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: pa
+edition: Spark 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_punjabi_pipeline` is a Panjabi, Punjabi model originally trained by nayaniiii.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_punjabi_pipeline_pa_5.5.0_3.0_1725942363960.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_punjabi_pipeline_pa_5.5.0_3.0_1725942363960.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_punjabi_pipeline", lang = "pa")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_punjabi_pipeline", lang = "pa")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_punjabi_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|pa|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/nayaniiii/whisper-small-punjabi
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-whisper_small_sanskasr_pipeline_sa.md b/docs/_posts/ahmedlone127/2024-09-10-whisper_small_sanskasr_pipeline_sa.md
new file mode 100644
index 00000000000000..a857d830a739aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-whisper_small_sanskasr_pipeline_sa.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Sanskrit whisper_small_sanskasr_pipeline pipeline WhisperForCTC from bvkbharadwaj
+author: John Snow Labs
+name: whisper_small_sanskasr_pipeline
+date: 2024-09-10
+tags: [sa, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: sa
+edition: Spark 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_sanskasr_pipeline` is a Sanskrit model originally trained by bvkbharadwaj.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_sanskasr_pipeline_sa_5.5.0_3.0_1725942830055.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_sanskasr_pipeline_sa_5.5.0_3.0_1725942830055.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_sanskasr_pipeline", lang = "sa")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_sanskasr_pipeline", lang = "sa")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_sanskasr_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|sa|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/bvkbharadwaj/whisper-small-sanskasr
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-whisper_small_sanskasr_sa.md b/docs/_posts/ahmedlone127/2024-09-10-whisper_small_sanskasr_sa.md
new file mode 100644
index 00000000000000..eae7aa4c19d73a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-whisper_small_sanskasr_sa.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Sanskrit whisper_small_sanskasr WhisperForCTC from bvkbharadwaj
+author: John Snow Labs
+name: whisper_small_sanskasr
+date: 2024-09-10
+tags: [sa, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: sa
+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_sanskasr` is a Sanskrit model originally trained by bvkbharadwaj.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_sanskasr_sa_5.5.0_3.0_1725942749482.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_sanskasr_sa_5.5.0_3.0_1725942749482.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_wolof_cifope|
+|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/cifope/whisper-small-wolof
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-whisper_small_wolof_cifope_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-whisper_small_wolof_cifope_pipeline_en.md
new file mode 100644
index 00000000000000..3be20c8188fe82
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-whisper_small_wolof_cifope_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_wolof_cifope_pipeline pipeline WhisperForCTC from cifope
+author: John Snow Labs
+name: whisper_small_wolof_cifope_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_wolof_cifope_pipeline` is a English model originally trained by cifope.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_wolof_cifope_pipeline_en_5.5.0_3.0_1725944444118.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_wolof_cifope_pipeline_en_5.5.0_3.0_1725944444118.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_wolof_cifope_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_wolof_cifope_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_wolof_cifope_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/cifope/whisper-small-wolof
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-whisper_speech_small_en.md b/docs/_posts/ahmedlone127/2024-09-10-whisper_speech_small_en.md
new file mode 100644
index 00000000000000..a56131ce23b964
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-whisper_speech_small_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_speech_small WhisperForCTC from fatipd
+author: John Snow Labs
+name: whisper_speech_small
+date: 2024-09-10
+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_speech_small` is a English model originally trained by fatipd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_speech_small_en_5.5.0_3.0_1725941332243.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_speech_small_en_5.5.0_3.0_1725941332243.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_speech_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/fatipd/whisper-speech-small
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-whisper_speech_small_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-whisper_speech_small_pipeline_en.md
new file mode 100644
index 00000000000000..9c87f521fcb653
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-whisper_speech_small_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_speech_small_pipeline pipeline WhisperForCTC from fatipd
+author: John Snow Labs
+name: whisper_speech_small_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_speech_small_pipeline` is a English model originally trained by fatipd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_speech_small_pipeline_en_5.5.0_3.0_1725941413109.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_speech_small_pipeline_en_5.5.0_3.0_1725941413109.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_speech_small_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_speech_small_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_speech_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/fatipd/whisper-speech-small
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-whisper_tiny_malayalam_ml.md b/docs/_posts/ahmedlone127/2024-09-10-whisper_tiny_malayalam_ml.md
new file mode 100644
index 00000000000000..cf7b90379aa9ad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-whisper_tiny_malayalam_ml.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Malayalam whisper_tiny_malayalam WhisperForCTC from parambharat
+author: John Snow Labs
+name: whisper_tiny_malayalam
+date: 2024-09-10
+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_tiny_malayalam` is a Malayalam model originally trained by parambharat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_malayalam_ml_5.5.0_3.0_1725945455016.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_malayalam_ml_5.5.0_3.0_1725945455016.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|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|ml|
+|Size:|391.0 MB|
+
+## References
+
+https://huggingface.co/parambharat/whisper-tiny-ml
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-whisper_tiny_malayalam_pipeline_ml.md b/docs/_posts/ahmedlone127/2024-09-10-whisper_tiny_malayalam_pipeline_ml.md
new file mode 100644
index 00000000000000..847f94c7152063
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-whisper_tiny_malayalam_pipeline_ml.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Malayalam whisper_tiny_malayalam_pipeline pipeline WhisperForCTC from parambharat
+author: John Snow Labs
+name: whisper_tiny_malayalam_pipeline
+date: 2024-09-10
+tags: [ml, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: ml
+edition: Spark 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_pipeline` is a Malayalam model originally trained by parambharat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_malayalam_pipeline_ml_5.5.0_3.0_1725945474292.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_malayalam_pipeline_ml_5.5.0_3.0_1725945474292.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_malayalam_pipeline", lang = "ml")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_malayalam_pipeline", lang = "ml")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_malayalam_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ml|
+|Size:|391.0 MB|
+
+## References
+
+https://huggingface.co/parambharat/whisper-tiny-ml
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_germeval_14_en.md b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_germeval_14_en.md
new file mode 100644
index 00000000000000..39828ca365d1d1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_germeval_14_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_germeval_14 XlmRoBertaForTokenClassification from stefanieZ
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_germeval_14
+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_germeval_14` is a English model originally trained by stefanieZ.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_germeval_14_en_5.5.0_3.0_1725928527266.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_germeval_14_en_5.5.0_3.0_1725928527266.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_germeval_14|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|861.3 MB|
+
+## References
+
+https://huggingface.co/stefanieZ/xlm-roberta-base-finetuned-germeval-14
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_germeval_14_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_germeval_14_pipeline_en.md
new file mode 100644
index 00000000000000..42549724c16530
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_germeval_14_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_germeval_14_pipeline pipeline XlmRoBertaForTokenClassification from stefanieZ
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_germeval_14_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_germeval_14_pipeline` is a English model originally trained by stefanieZ.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_germeval_14_pipeline_en_5.5.0_3.0_1725928595033.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_germeval_14_pipeline_en_5.5.0_3.0_1725928595033.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_germeval_14_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_germeval_14_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_germeval_14_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|861.3 MB|
+
+## References
+
+https://huggingface.co/stefanieZ/xlm-roberta-base-finetuned-germeval-14
+
+## 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_bengali_thepinakiroy_en.md b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_bengali_thepinakiroy_en.md
new file mode 100644
index 00000000000000..e95ccc4b5c5a70
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_bengali_thepinakiroy_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_bengali_thepinakiroy XlmRoBertaForTokenClassification from thepinakiroy
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_bengali_thepinakiroy
+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_bengali_thepinakiroy` is a English model originally trained by thepinakiroy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_bengali_thepinakiroy_en_5.5.0_3.0_1725928635168.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_bengali_thepinakiroy_en_5.5.0_3.0_1725928635168.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_bengali_thepinakiroy|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|833.2 MB|
+
+## References
+
+https://huggingface.co/thepinakiroy/xlm-roberta-base-finetuned-panx-bn
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_english_udon3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_english_udon3_pipeline_en.md
new file mode 100644
index 00000000000000..4fc088b9174629
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_english_udon3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_udon3_pipeline pipeline XlmRoBertaForTokenClassification from udon3
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_udon3_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_english_udon3_pipeline` is a English model originally trained by udon3.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_udon3_pipeline_en_5.5.0_3.0_1725927956239.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_udon3_pipeline_en_5.5.0_3.0_1725927956239.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_udon3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_english_udon3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_english_udon3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|826.4 MB|
+
+## References
+
+https://huggingface.co/udon3/xlm-roberta-base-finetuned-panx-en
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_french_mj03_en.md b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_french_mj03_en.md
new file mode 100644
index 00000000000000..b0d44054745d4d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_french_mj03_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_mj03 XlmRoBertaForTokenClassification from MJ03
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_mj03
+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_french_mj03` is a English model originally trained by MJ03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_mj03_en_5.5.0_3.0_1725929528364.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_mj03_en_5.5.0_3.0_1725929528364.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_mj03|
+|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/MJ03/xlm-roberta-base-finetuned-panx-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_french_omersubasi_en.md b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_french_omersubasi_en.md
new file mode 100644
index 00000000000000..3d417c2f2f051a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_french_omersubasi_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_omersubasi XlmRoBertaForTokenClassification from omersubasi
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_omersubasi
+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_french_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_french_omersubasi_en_5.5.0_3.0_1725928238823.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_omersubasi_en_5.5.0_3.0_1725928238823.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_omersubasi|
+|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/omersubasi/xlm-roberta-base-finetuned-panx-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_french_omersubasi_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_french_omersubasi_pipeline_en.md
new file mode 100644
index 00000000000000..d97bd3466529c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_french_omersubasi_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_omersubasi_pipeline pipeline XlmRoBertaForTokenClassification from omersubasi
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_omersubasi_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_french_omersubasi_pipeline` 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_french_omersubasi_pipeline_en_5.5.0_3.0_1725928321508.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_omersubasi_pipeline_en_5.5.0_3.0_1725928321508.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_omersubasi_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_omersubasi_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_omersubasi_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|831.2 MB|
+
+## References
+
+https://huggingface.co/omersubasi/xlm-roberta-base-finetuned-panx-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_french_ryatora_en.md b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_french_ryatora_en.md
new file mode 100644
index 00000000000000..485e8648447112
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_french_ryatora_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_ryatora XlmRoBertaForTokenClassification from ryatora
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_ryatora
+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_french_ryatora` is a English model originally trained by ryatora.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_ryatora_en_5.5.0_3.0_1725929462169.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_ryatora_en_5.5.0_3.0_1725929462169.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_ryatora|
+|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/ryatora/xlm-roberta-base-finetuned-panx-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_german_dkoh12_en.md b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_german_dkoh12_en.md
new file mode 100644
index 00000000000000..39b6c84638d162
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_german_dkoh12_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_dkoh12 XlmRoBertaForTokenClassification from dkoh12
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_dkoh12
+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_dkoh12` is a English model originally trained by dkoh12.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_dkoh12_en_5.5.0_3.0_1725928901844.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_dkoh12_en_5.5.0_3.0_1725928901844.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_dkoh12|
+|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/dkoh12/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_german_dkoh12_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_german_dkoh12_pipeline_en.md
new file mode 100644
index 00000000000000..d05ce04cac2794
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_german_dkoh12_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_dkoh12_pipeline pipeline XlmRoBertaForTokenClassification from dkoh12
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_dkoh12_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_dkoh12_pipeline` is a English model originally trained by dkoh12.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_dkoh12_pipeline_en_5.5.0_3.0_1725928969313.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_dkoh12_pipeline_en_5.5.0_3.0_1725928969313.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_dkoh12_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_dkoh12_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_dkoh12_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/dkoh12/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_french_jaemin12_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_german_french_jaemin12_pipeline_en.md
new file mode 100644
index 00000000000000..d97dbacc361fee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_german_french_jaemin12_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_jaemin12_pipeline pipeline XlmRoBertaForTokenClassification from jaemin12
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_jaemin12_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_french_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_german_french_jaemin12_pipeline_en_5.5.0_3.0_1725927952952.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_jaemin12_pipeline_en_5.5.0_3.0_1725927952952.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_jaemin12_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_jaemin12_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_jaemin12_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|858.2 MB|
+
+## References
+
+https://huggingface.co/jaemin12/xlm-roberta-base-finetuned-panx-de-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_german_french_paww_en.md b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_german_french_paww_en.md
new file mode 100644
index 00000000000000..5396fbaa72f87f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_german_french_paww_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_paww XlmRoBertaForTokenClassification from paww
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_paww
+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_french_paww` is a English model originally trained by paww.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_paww_en_5.5.0_3.0_1725928716587.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_paww_en_5.5.0_3.0_1725928716587.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_paww|
+|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/paww/xlm-roberta-base-finetuned-panx-de-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_german_french_paww_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_german_french_paww_pipeline_en.md
new file mode 100644
index 00000000000000..451dc9ce765c5f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_german_french_paww_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_paww_pipeline pipeline XlmRoBertaForTokenClassification from paww
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_paww_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_french_paww_pipeline` is a English model originally trained by paww.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_paww_pipeline_en_5.5.0_3.0_1725928781801.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_paww_pipeline_en_5.5.0_3.0_1725928781801.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_paww_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_paww_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_paww_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|858.2 MB|
+
+## References
+
+https://huggingface.co/paww/xlm-roberta-base-finetuned-panx-de-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_german_french_shinta0615_en.md b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_german_french_shinta0615_en.md
new file mode 100644
index 00000000000000..5573b645cbb899
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_german_french_shinta0615_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_shinta0615 XlmRoBertaForTokenClassification from shinta0615
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_shinta0615
+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_french_shinta0615` is a English model originally trained by shinta0615.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_shinta0615_en_5.5.0_3.0_1725927890187.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_shinta0615_en_5.5.0_3.0_1725927890187.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_shinta0615|
+|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/shinta0615/xlm-roberta-base-finetuned-panx-de-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_german_kiri1701_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_german_kiri1701_pipeline_en.md
new file mode 100644
index 00000000000000..b142ef51d4405d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_german_kiri1701_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_kiri1701_pipeline pipeline XlmRoBertaForTokenClassification from kiri1701
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_kiri1701_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_kiri1701_pipeline` is a English model originally trained by kiri1701.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_kiri1701_pipeline_en_5.5.0_3.0_1725929041144.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_kiri1701_pipeline_en_5.5.0_3.0_1725929041144.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_kiri1701_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_kiri1701_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_kiri1701_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/kiri1701/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_italian_sorabe_en.md b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_italian_sorabe_en.md
new file mode 100644
index 00000000000000..43bd766b5ff28f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_italian_sorabe_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_italian_sorabe XlmRoBertaForTokenClassification from SORABE
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_italian_sorabe
+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_italian_sorabe` 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_italian_sorabe_en_5.5.0_3.0_1725929634722.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_sorabe_en_5.5.0_3.0_1725929634722.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_sorabe|
+|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/SORABE/xlm-roberta-base-finetuned-panx-it
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_korean_japanese_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_korean_japanese_pipeline_en.md
new file mode 100644
index 00000000000000..6235dabdef1bf9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_korean_japanese_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_korean_japanese_pipeline pipeline XlmRoBertaForTokenClassification from Noveled
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_korean_japanese_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_korean_japanese_pipeline` is a English model originally trained by Noveled.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_korean_japanese_pipeline_en_5.5.0_3.0_1725928510467.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_korean_japanese_pipeline_en_5.5.0_3.0_1725928510467.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_korean_japanese_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_korean_japanese_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_korean_japanese_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|832.8 MB|
+
+## References
+
+https://huggingface.co/Noveled/xlm-roberta-base-finetuned-panx-ko-ja
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_ft_udpos213_top3lang_southern_sotho_en.md b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_ft_udpos213_top3lang_southern_sotho_en.md
new file mode 100644
index 00000000000000..35a1809ed80aa2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_ft_udpos213_top3lang_southern_sotho_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_ft_udpos213_top3lang_southern_sotho XlmRoBertaForTokenClassification from iceman2434
+author: John Snow Labs
+name: xlm_roberta_base_ft_udpos213_top3lang_southern_sotho
+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_ft_udpos213_top3lang_southern_sotho` is a English model originally trained by iceman2434.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_ft_udpos213_top3lang_southern_sotho_en_5.5.0_3.0_1725928858844.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_ft_udpos213_top3lang_southern_sotho_en_5.5.0_3.0_1725928858844.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+