diff --git a/docs/_posts/ahmedlone127/2024-09-02-bulbert_chitanka_model_bg.md b/docs/_posts/ahmedlone127/2024-09-02-bulbert_chitanka_model_bg.md
new file mode 100644
index 00000000000000..bc57b57b03cc8d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-02-bulbert_chitanka_model_bg.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Bulgarian bulbert_chitanka_model BertEmbeddings from mor40
+author: John Snow Labs
+name: bulbert_chitanka_model
+date: 2024-09-02
+tags: [bg, open_source, onnx, embeddings, bert]
+task: Embeddings
+language: bg
+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.`bulbert_chitanka_model` is a Bulgarian model originally trained by mor40.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bulbert_chitanka_model_bg_5.5.0_3.0_1725318518639.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bulbert_chitanka_model_bg_5.5.0_3.0_1725318518639.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|oorito|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|504.7 MB|
+
+## References
+
+https://huggingface.co/LRJ1981/OORito
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-04-deberta_v3_large_survey_nepal_bhasa_fact_main_passage_rater_gpt4_en.md b/docs/_posts/ahmedlone127/2024-09-04-deberta_v3_large_survey_nepal_bhasa_fact_main_passage_rater_gpt4_en.md
new file mode 100644
index 00000000000000..5383bf3f082b18
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-04-deberta_v3_large_survey_nepal_bhasa_fact_main_passage_rater_gpt4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English deberta_v3_large_survey_nepal_bhasa_fact_main_passage_rater_gpt4 DeBertaForSequenceClassification from domenicrosati
+author: John Snow Labs
+name: deberta_v3_large_survey_nepal_bhasa_fact_main_passage_rater_gpt4
+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_large_survey_nepal_bhasa_fact_main_passage_rater_gpt4` is a English model originally trained by domenicrosati.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deberta_v3_large_survey_nepal_bhasa_fact_main_passage_rater_gpt4_en_5.5.0_3.0_1725440063827.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_gpt4_en_5.5.0_3.0_1725440063827.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_nepal_bhasa_fact_main_passage_rater_gpt4|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.5 GB|
+
+## References
+
+https://huggingface.co/domenicrosati/deberta-v3-large-survey-new_fact_main_passage-rater-gpt4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-04-dummy_model_umalakshmi07_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-04-dummy_model_umalakshmi07_pipeline_en.md
new file mode 100644
index 00000000000000..b1d0e2a6bf51f0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-04-dummy_model_umalakshmi07_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dummy_model_umalakshmi07_pipeline pipeline CamemBertEmbeddings from Umalakshmi07
+author: John Snow Labs
+name: dummy_model_umalakshmi07_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 CamemBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dummy_model_umalakshmi07_pipeline` is a English model originally trained by Umalakshmi07.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_model_umalakshmi07_pipeline_en_5.5.0_3.0_1725409109729.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_model_umalakshmi07_pipeline_en_5.5.0_3.0_1725409109729.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dummy_model_umalakshmi07_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dummy_model_umalakshmi07_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dummy_model_umalakshmi07_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|264.0 MB|
+
+## References
+
+https://huggingface.co/Umalakshmi07/dummy-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- CamemBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-04-roberta_large_bne_sqac_pipeline_es.md b/docs/_posts/ahmedlone127/2024-09-04-roberta_large_bne_sqac_pipeline_es.md
new file mode 100644
index 00000000000000..fdc072dadb9ffb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-04-roberta_large_bne_sqac_pipeline_es.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Castilian, Spanish roberta_large_bne_sqac_pipeline pipeline RoBertaForQuestionAnswering from BSC-LT
+author: John Snow Labs
+name: roberta_large_bne_sqac_pipeline
+date: 2024-09-04
+tags: [es, open_source, pipeline, onnx]
+task: Question Answering
+language: es
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_bne_sqac_pipeline` is a Castilian, Spanish model originally trained by BSC-LT.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_bne_sqac_pipeline_es_5.5.0_3.0_1725480000706.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_bne_sqac_pipeline_es_5.5.0_3.0_1725480000706.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_bne_sqac_pipeline", lang = "es")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_bne_sqac_pipeline", lang = "es")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_bne_sqac_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|es|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/BSC-LT/roberta-large-bne-sqac
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-05-ae_detection_distilbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-05-ae_detection_distilbert_pipeline_en.md
new file mode 100644
index 00000000000000..1c0ad251eb1f44
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-05-ae_detection_distilbert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ae_detection_distilbert_pipeline pipeline DistilBertForTokenClassification from merlynjoseph
+author: John Snow Labs
+name: ae_detection_distilbert_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.`ae_detection_distilbert_pipeline` is a English model originally trained by merlynjoseph.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ae_detection_distilbert_pipeline_en_5.5.0_3.0_1725518567094.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ae_detection_distilbert_pipeline_en_5.5.0_3.0_1725518567094.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ae_detection_distilbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ae_detection_distilbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ae_detection_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/merlynjoseph/AE-detection-distilbert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-05-babyberta_wikipedia1_1_25m_wikipedia_french1_25m_with_masking_finetuned_french_squad_en.md b/docs/_posts/ahmedlone127/2024-09-05-babyberta_wikipedia1_1_25m_wikipedia_french1_25m_with_masking_finetuned_french_squad_en.md
new file mode 100644
index 00000000000000..842cbb1e737df2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-05-babyberta_wikipedia1_1_25m_wikipedia_french1_25m_with_masking_finetuned_french_squad_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English babyberta_wikipedia1_1_25m_wikipedia_french1_25m_with_masking_finetuned_french_squad RoBertaForQuestionAnswering from lielbin
+author: John Snow Labs
+name: babyberta_wikipedia1_1_25m_wikipedia_french1_25m_with_masking_finetuned_french_squad
+date: 2024-09-05
+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_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_wikipedia1_1_25m_wikipedia_french1_25m_with_masking_finetuned_french_squad_en_5.5.0_3.0_1725576497787.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_with_masking_finetuned_french_squad_en_5.5.0_3.0_1725576497787.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_with_masking_finetuned_french_squad|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|32.0 MB|
+
+## References
+
+https://huggingface.co/lielbin/BabyBERTa-wikipedia1_1.25M_wikipedia_french1.25M-with-Masking-finetuned-french-SQuAD
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-05-candle_cvss_scope_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-05-candle_cvss_scope_pipeline_en.md
new file mode 100644
index 00000000000000..eaebf03e465ab0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-05-candle_cvss_scope_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English candle_cvss_scope_pipeline pipeline MPNetForSequenceClassification from iashour
+author: John Snow Labs
+name: candle_cvss_scope_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 MPNetForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`candle_cvss_scope_pipeline` is a English model originally trained by iashour.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/candle_cvss_scope_pipeline_en_5.5.0_3.0_1725575348236.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/candle_cvss_scope_pipeline_en_5.5.0_3.0_1725575348236.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("candle_cvss_scope_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("candle_cvss_scope_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|candle_cvss_scope_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/iashour/CANDLE_cvss_scope
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- MPNetForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-05-ditransformersert_base_uncased_tokenclassification_lora_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-05-ditransformersert_base_uncased_tokenclassification_lora_pipeline_en.md
new file mode 100644
index 00000000000000..70a25d788b761a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-05-ditransformersert_base_uncased_tokenclassification_lora_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ditransformersert_base_uncased_tokenclassification_lora_pipeline pipeline DistilBertForTokenClassification from urisoo
+author: John Snow Labs
+name: ditransformersert_base_uncased_tokenclassification_lora_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.`ditransformersert_base_uncased_tokenclassification_lora_pipeline` is a English model originally trained by urisoo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ditransformersert_base_uncased_tokenclassification_lora_pipeline_en_5.5.0_3.0_1725506157055.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ditransformersert_base_uncased_tokenclassification_lora_pipeline_en_5.5.0_3.0_1725506157055.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ditransformersert_base_uncased_tokenclassification_lora_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ditransformersert_base_uncased_tokenclassification_lora_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ditransformersert_base_uncased_tokenclassification_lora_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/urisoo/ditransformersert-base-uncased-tokenclassification_lora
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-05-m8_mlm_en.md b/docs/_posts/ahmedlone127/2024-09-05-m8_mlm_en.md
new file mode 100644
index 00000000000000..9cff7febcb076d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-05-m8_mlm_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English m8_mlm AlbertEmbeddings from S2312dal
+author: John Snow Labs
+name: m8_mlm
+date: 2024-09-05
+tags: [en, open_source, onnx, embeddings, albert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: AlbertEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`m8_mlm` is a English model originally trained by S2312dal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/m8_mlm_en_5.5.0_3.0_1725528242291.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/m8_mlm_en_5.5.0_3.0_1725528242291.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|m8_mlm|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence, token]|
+|Output Labels:|[albert]|
+|Language:|en|
+|Size:|42.0 MB|
+
+## References
+
+https://huggingface.co/S2312dal/M8_MLM
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-05-nli_sentence_contradiction_classification_en.md b/docs/_posts/ahmedlone127/2024-09-05-nli_sentence_contradiction_classification_en.md
new file mode 100644
index 00000000000000..b5e072ec00b0a5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-05-nli_sentence_contradiction_classification_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English nli_sentence_contradiction_classification MPNetForSequenceClassification from mansee
+author: John Snow Labs
+name: nli_sentence_contradiction_classification
+date: 2024-09-05
+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.`nli_sentence_contradiction_classification` is a English model originally trained by mansee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nli_sentence_contradiction_classification_en_5.5.0_3.0_1725575597188.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nli_sentence_contradiction_classification_en_5.5.0_3.0_1725575597188.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nli_sentence_contradiction_classification|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|408.1 MB|
+
+## References
+
+https://huggingface.co/mansee/nli-sentence-contradiction-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-05-question_answering_xlm_roberta_base_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-05-question_answering_xlm_roberta_base_pipeline_en.md
new file mode 100644
index 00000000000000..44e4ceef13d39b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-05-question_answering_xlm_roberta_base_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English question_answering_xlm_roberta_base_pipeline pipeline XlmRoBertaForQuestionAnswering from TunahanGokcimen
+author: John Snow Labs
+name: question_answering_xlm_roberta_base_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.`question_answering_xlm_roberta_base_pipeline` is a English model originally trained by TunahanGokcimen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/question_answering_xlm_roberta_base_pipeline_en_5.5.0_3.0_1725567657530.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/question_answering_xlm_roberta_base_pipeline_en_5.5.0_3.0_1725567657530.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("question_answering_xlm_roberta_base_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("question_answering_xlm_roberta_base_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|question_answering_xlm_roberta_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|853.0 MB|
+
+## References
+
+https://huggingface.co/TunahanGokcimen/Question-Answering-xlm-roberta-base
+
+## Included Models
+
+- MultiDocumentAssembler
+- XlmRoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-05-roberta_large_1802_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-05-roberta_large_1802_pipeline_en.md
new file mode 100644
index 00000000000000..272a54b098878b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-05-roberta_large_1802_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_large_1802_pipeline pipeline RoBertaEmbeddings from JamesKim
+author: John Snow Labs
+name: roberta_large_1802_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_large_1802_pipeline` is a English model originally trained by JamesKim.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_1802_pipeline_en_5.5.0_3.0_1725578469476.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_1802_pipeline_en_5.5.0_3.0_1725578469476.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_1802_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_1802_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_1802_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/JamesKim/roberta-large_1802
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-chuvash_validator_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-06-chuvash_validator_pipeline_en.md
new file mode 100644
index 00000000000000..ba33326fb1a23d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-chuvash_validator_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English chuvash_validator_pipeline pipeline MPNetEmbeddings from ivanzidov
+author: John Snow Labs
+name: chuvash_validator_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.`chuvash_validator_pipeline` is a English model originally trained by ivanzidov.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/chuvash_validator_pipeline_en_5.5.0_3.0_1725595285060.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/chuvash_validator_pipeline_en_5.5.0_3.0_1725595285060.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("chuvash_validator_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("chuvash_validator_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|chuvash_validator_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.0 MB|
+
+## References
+
+https://huggingface.co/ivanzidov/cv-validator
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-distilbert_base_uncased_finetuned_imdb_lb100_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-06-distilbert_base_uncased_finetuned_imdb_lb100_pipeline_en.md
new file mode 100644
index 00000000000000..8d1c7d2e358268
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-distilbert_base_uncased_finetuned_imdb_lb100_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_lb100_pipeline pipeline DistilBertEmbeddings from LB100
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_lb100_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.`distilbert_base_uncased_finetuned_imdb_lb100_pipeline` is a English model originally trained by LB100.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_lb100_pipeline_en_5.5.0_3.0_1725664700897.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_lb100_pipeline_en_5.5.0_3.0_1725664700897.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_lb100_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_imdb_lb100_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_imdb_lb100_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/LB100/distilbert-base-uncased-finetuned-imdb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-distilbert_base_uncased_finetuned_ner_cerastes_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-06-distilbert_base_uncased_finetuned_ner_cerastes_pipeline_en.md
new file mode 100644
index 00000000000000..71c4ca8ef48bf9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-distilbert_base_uncased_finetuned_ner_cerastes_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_cerastes_pipeline pipeline DistilBertForTokenClassification from Cerastes
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_cerastes_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.`distilbert_base_uncased_finetuned_ner_cerastes_pipeline` is a English model originally trained by Cerastes.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_cerastes_pipeline_en_5.5.0_3.0_1725653414732.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_cerastes_pipeline_en_5.5.0_3.0_1725653414732.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_cerastes_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_ner_cerastes_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_ner_cerastes_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Cerastes/distilbert-base-uncased_finetuned_ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-distilbert_qa_robustqa_baseline_02_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-06-distilbert_qa_robustqa_baseline_02_pipeline_en.md
new file mode 100644
index 00000000000000..7a52c9c82ffd53
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-distilbert_qa_robustqa_baseline_02_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_qa_robustqa_baseline_02_pipeline pipeline DistilBertForQuestionAnswering from leemii18
+author: John Snow Labs
+name: distilbert_qa_robustqa_baseline_02_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_qa_robustqa_baseline_02_pipeline` is a English model originally trained by leemii18.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_robustqa_baseline_02_pipeline_en_5.5.0_3.0_1725621798325.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_robustqa_baseline_02_pipeline_en_5.5.0_3.0_1725621798325.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_qa_robustqa_baseline_02_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_qa_robustqa_baseline_02_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_robustqa_baseline_02_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/leemii18/robustqa-baseline-02
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-dummy_model_fab7_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-06-dummy_model_fab7_pipeline_en.md
new file mode 100644
index 00000000000000..b71f8d7811f706
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-dummy_model_fab7_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dummy_model_fab7_pipeline pipeline CamemBertEmbeddings from fab7
+author: John Snow Labs
+name: dummy_model_fab7_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.`dummy_model_fab7_pipeline` is a English model originally trained by fab7.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_model_fab7_pipeline_en_5.5.0_3.0_1725632500895.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_model_fab7_pipeline_en_5.5.0_3.0_1725632500895.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dummy_model_fab7_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dummy_model_fab7_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dummy_model_fab7_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|264.0 MB|
+
+## References
+
+https://huggingface.co/fab7/dummy-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- CamemBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-opus_maltese_english_swahili_finetuned_english_tonga_tonga_islands_swahili_chituyi_en.md b/docs/_posts/ahmedlone127/2024-09-06-opus_maltese_english_swahili_finetuned_english_tonga_tonga_islands_swahili_chituyi_en.md
new file mode 100644
index 00000000000000..6d1f7d7e5cf3b4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-opus_maltese_english_swahili_finetuned_english_tonga_tonga_islands_swahili_chituyi_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_english_swahili_finetuned_english_tonga_tonga_islands_swahili_chituyi MarianTransformer from Chituyi
+author: John Snow Labs
+name: opus_maltese_english_swahili_finetuned_english_tonga_tonga_islands_swahili_chituyi
+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_swahili_finetuned_english_tonga_tonga_islands_swahili_chituyi` is a English model originally trained by Chituyi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_swahili_finetuned_english_tonga_tonga_islands_swahili_chituyi_en_5.5.0_3.0_1725635803514.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_chituyi_en_5.5.0_3.0_1725635803514.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_chituyi|
+|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/Chituyi/opus-mt-en-sw-finetuned-en-to-sw
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-task_implicit_task__model_deberta__aug_method_ri_en.md b/docs/_posts/ahmedlone127/2024-09-06-task_implicit_task__model_deberta__aug_method_ri_en.md
new file mode 100644
index 00000000000000..fbbbb3a8d0e5fc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-task_implicit_task__model_deberta__aug_method_ri_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English task_implicit_task__model_deberta__aug_method_ri DeBertaForSequenceClassification from BenjaminOcampo
+author: John Snow Labs
+name: task_implicit_task__model_deberta__aug_method_ri
+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.`task_implicit_task__model_deberta__aug_method_ri` is a English model originally trained by BenjaminOcampo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/task_implicit_task__model_deberta__aug_method_ri_en_5.5.0_3.0_1725588781563.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/task_implicit_task__model_deberta__aug_method_ri_en_5.5.0_3.0_1725588781563.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|task_implicit_task__model_deberta__aug_method_ri|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|607.4 MB|
+
+## References
+
+https://huggingface.co/BenjaminOcampo/task-implicit_task__model-deberta__aug_method-ri
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-06-xlm_roberta_base_finetuned_panx_german_ahmad_alismail_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-06-xlm_roberta_base_finetuned_panx_german_ahmad_alismail_pipeline_en.md
new file mode 100644
index 00000000000000..9981e04b04fdf1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-06-xlm_roberta_base_finetuned_panx_german_ahmad_alismail_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_ahmad_alismail_pipeline pipeline XlmRoBertaForTokenClassification from ahmad-alismail
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_ahmad_alismail_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_german_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_german_ahmad_alismail_pipeline_en_5.5.0_3.0_1725658387854.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_ahmad_alismail_pipeline_en_5.5.0_3.0_1725658387854.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_ahmad_alismail_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_ahmad_alismail_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_ahmad_alismail_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/ahmad-alismail/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-all_mpnet_base_v2_lr_5e_7_margin_1_epoch_1_en.md b/docs/_posts/ahmedlone127/2024-09-07-all_mpnet_base_v2_lr_5e_7_margin_1_epoch_1_en.md
new file mode 100644
index 00000000000000..8a6e23eb0a84b8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-all_mpnet_base_v2_lr_5e_7_margin_1_epoch_1_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English all_mpnet_base_v2_lr_5e_7_margin_1_epoch_1 MPNetEmbeddings from luiz-and-robert-thesis
+author: John Snow Labs
+name: all_mpnet_base_v2_lr_5e_7_margin_1_epoch_1
+date: 2024-09-07
+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_5e_7_margin_1_epoch_1` 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_5e_7_margin_1_epoch_1_en_5.5.0_3.0_1725702873782.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_mpnet_base_v2_lr_5e_7_margin_1_epoch_1_en_5.5.0_3.0_1725702873782.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_5e_7_margin_1_epoch_1|
+|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-5e-7-margin-1-epoch-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-angela_untranslated_punc_eval_en.md b/docs/_posts/ahmedlone127/2024-09-07-angela_untranslated_punc_eval_en.md
new file mode 100644
index 00000000000000..9891bd3365671f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-angela_untranslated_punc_eval_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English angela_untranslated_punc_eval XlmRoBertaForTokenClassification from azhang1212
+author: John Snow Labs
+name: angela_untranslated_punc_eval
+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.`angela_untranslated_punc_eval` is a English model originally trained by azhang1212.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/angela_untranslated_punc_eval_en_5.5.0_3.0_1725704700534.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/angela_untranslated_punc_eval_en_5.5.0_3.0_1725704700534.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|angela_untranslated_punc_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_untranslated_punc_eval
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-anus_wanus_panus_ranus_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-anus_wanus_panus_ranus_pipeline_en.md
new file mode 100644
index 00000000000000..f53b5c4dc5b2ed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-anus_wanus_panus_ranus_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English anus_wanus_panus_ranus_pipeline pipeline DistilBertForSequenceClassification from namebobb
+author: John Snow Labs
+name: anus_wanus_panus_ranus_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.`anus_wanus_panus_ranus_pipeline` is a English model originally trained by namebobb.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/anus_wanus_panus_ranus_pipeline_en_5.5.0_3.0_1725674952365.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/anus_wanus_panus_ranus_pipeline_en_5.5.0_3.0_1725674952365.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("anus_wanus_panus_ranus_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("anus_wanus_panus_ranus_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|anus_wanus_panus_ranus_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/namebobb/anus-wanus-panus-ranus
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_model_mohsinshah_en.md b/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_model_mohsinshah_en.md
new file mode 100644
index 00000000000000..f7f2b4885e7cde
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_model_mohsinshah_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_mohsinshah DistilBertForSequenceClassification from mohsinshah
+author: John Snow Labs
+name: burmese_awesome_model_mohsinshah
+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.`burmese_awesome_model_mohsinshah` is a English model originally trained by mohsinshah.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_mohsinshah_en_5.5.0_3.0_1725675118509.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_mohsinshah_en_5.5.0_3.0_1725675118509.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_mohsinshah|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/mohsinshah/my_awesome_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_qa_model_khadidja22_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_qa_model_khadidja22_pipeline_en.md
new file mode 100644
index 00000000000000..54a48c09e79ada
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-burmese_awesome_qa_model_khadidja22_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_khadidja22_pipeline pipeline DistilBertForQuestionAnswering from Khadidja22
+author: John Snow Labs
+name: burmese_awesome_qa_model_khadidja22_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_khadidja22_pipeline` is a English model originally trained by Khadidja22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_khadidja22_pipeline_en_5.5.0_3.0_1725727323860.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_khadidja22_pipeline_en_5.5.0_3.0_1725727323860.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_khadidja22_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_qa_model_khadidja22_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_khadidja22_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Khadidja22/my_awesome_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-burmese_ner_model_estebanpedro_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-burmese_ner_model_estebanpedro_pipeline_en.md
new file mode 100644
index 00000000000000..ed907676779caf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-burmese_ner_model_estebanpedro_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_ner_model_estebanpedro_pipeline pipeline DistilBertForTokenClassification from EstebanPedro
+author: John Snow Labs
+name: burmese_ner_model_estebanpedro_pipeline
+date: 2024-09-07
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_ner_model_estebanpedro_pipeline` is a English model originally trained by EstebanPedro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_ner_model_estebanpedro_pipeline_en_5.5.0_3.0_1725730094644.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_ner_model_estebanpedro_pipeline_en_5.5.0_3.0_1725730094644.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_ner_model_estebanpedro_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_ner_model_estebanpedro_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_ner_model_estebanpedro_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/EstebanPedro/my_ner_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-covid_qa_distillbert_en.md b/docs/_posts/ahmedlone127/2024-09-07-covid_qa_distillbert_en.md
new file mode 100644
index 00000000000000..909fad0c6b15a1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-covid_qa_distillbert_en.md
@@ -0,0 +1,92 @@
+---
+layout: model
+title: English covid_qa_distillbert DistilBertForQuestionAnswering from shainahub
+author: John Snow Labs
+name: covid_qa_distillbert
+date: 2024-09-07
+tags: [distilbert, en, open_source, question_answering, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`covid_qa_distillbert` is a English model originally trained by shainahub.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/covid_qa_distillbert_en_5.5.0_3.0_1725722640275.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/covid_qa_distillbert_en_5.5.0_3.0_1725722640275.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_carels|
+|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/CarelS/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-distilbert_finetuned_ner_veronica1608_en.md b/docs/_posts/ahmedlone127/2024-09-07-distilbert_finetuned_ner_veronica1608_en.md
new file mode 100644
index 00000000000000..3f965ad84914cc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-distilbert_finetuned_ner_veronica1608_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_finetuned_ner_veronica1608 DistilBertForTokenClassification from veronica1608
+author: John Snow Labs
+name: distilbert_finetuned_ner_veronica1608
+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_finetuned_ner_veronica1608` is a English model originally trained by veronica1608.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_ner_veronica1608_en_5.5.0_3.0_1725734330442.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_ner_veronica1608_en_5.5.0_3.0_1725734330442.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_ner_veronica1608|
+|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/veronica1608/distilbert-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-distillber_squadv2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-distillber_squadv2_pipeline_en.md
new file mode 100644
index 00000000000000..5db0bb2fd6e174
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-distillber_squadv2_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distillber_squadv2_pipeline pipeline DistilBertForQuestionAnswering from hskfd
+author: John Snow Labs
+name: distillber_squadv2_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.`distillber_squadv2_pipeline` is a English model originally trained by hskfd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distillber_squadv2_pipeline_en_5.5.0_3.0_1725745965721.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distillber_squadv2_pipeline_en_5.5.0_3.0_1725745965721.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distillber_squadv2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distillber_squadv2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distillber_squadv2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/hskfd/distillber-squadv2
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-dummy_model_hanzhuo_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-dummy_model_hanzhuo_pipeline_en.md
new file mode 100644
index 00000000000000..8ee607aae5c145
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-dummy_model_hanzhuo_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dummy_model_hanzhuo_pipeline pipeline CamemBertEmbeddings from hanzhuo
+author: John Snow Labs
+name: dummy_model_hanzhuo_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_hanzhuo_pipeline` is a English model originally trained by hanzhuo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_model_hanzhuo_pipeline_en_5.5.0_3.0_1725729041550.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_model_hanzhuo_pipeline_en_5.5.0_3.0_1725729041550.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dummy_model_hanzhuo_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dummy_model_hanzhuo_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dummy_model_hanzhuo_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|264.0 MB|
+
+## References
+
+https://huggingface.co/hanzhuo/dummy-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- CamemBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-esperberto_goumbalamm_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-esperberto_goumbalamm_pipeline_en.md
new file mode 100644
index 00000000000000..45164e7523ede5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-esperberto_goumbalamm_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English esperberto_goumbalamm_pipeline pipeline RoBertaEmbeddings from goumbalamm
+author: John Snow Labs
+name: esperberto_goumbalamm_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.`esperberto_goumbalamm_pipeline` is a English model originally trained by goumbalamm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/esperberto_goumbalamm_pipeline_en_5.5.0_3.0_1725678221597.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/esperberto_goumbalamm_pipeline_en_5.5.0_3.0_1725678221597.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("esperberto_goumbalamm_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("esperberto_goumbalamm_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|esperberto_goumbalamm_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|311.5 MB|
+
+## References
+
+https://huggingface.co/goumbalamm/EsperBERTo
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-hafez_bert_pipeline_fa.md b/docs/_posts/ahmedlone127/2024-09-07-hafez_bert_pipeline_fa.md
new file mode 100644
index 00000000000000..fb610f26412ae8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-hafez_bert_pipeline_fa.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Persian hafez_bert_pipeline pipeline BertEmbeddings from ViravirastSHZ
+author: John Snow Labs
+name: hafez_bert_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 BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hafez_bert_pipeline` is a Persian model originally trained by ViravirastSHZ.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hafez_bert_pipeline_fa_5.5.0_3.0_1725696850593.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hafez_bert_pipeline_fa_5.5.0_3.0_1725696850593.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hafez_bert_pipeline", lang = "fa")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hafez_bert_pipeline", lang = "fa")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hafez_bert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|fa|
+|Size:|408.2 MB|
+
+## References
+
+https://huggingface.co/ViravirastSHZ/Hafez_Bert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-hupd_distilroberta_base_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-hupd_distilroberta_base_pipeline_en.md
new file mode 100644
index 00000000000000..69db343e62abee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-hupd_distilroberta_base_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English hupd_distilroberta_base_pipeline pipeline RoBertaEmbeddings from HUPD
+author: John Snow Labs
+name: hupd_distilroberta_base_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.`hupd_distilroberta_base_pipeline` is a English model originally trained by HUPD.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hupd_distilroberta_base_pipeline_en_5.5.0_3.0_1725716529638.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hupd_distilroberta_base_pipeline_en_5.5.0_3.0_1725716529638.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hupd_distilroberta_base_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hupd_distilroberta_base_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hupd_distilroberta_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|308.6 MB|
+
+## References
+
+https://huggingface.co/HUPD/hupd-distilroberta-base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-idiom_xlm_roberta_en.md b/docs/_posts/ahmedlone127/2024-09-07-idiom_xlm_roberta_en.md
new file mode 100644
index 00000000000000..7a69f4510fa7ac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-idiom_xlm_roberta_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English idiom_xlm_roberta XlmRoBertaForTokenClassification from imranraad
+author: John Snow Labs
+name: idiom_xlm_roberta
+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.`idiom_xlm_roberta` is a English model originally trained by imranraad.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/idiom_xlm_roberta_en_5.5.0_3.0_1725688504675.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/idiom_xlm_roberta_en_5.5.0_3.0_1725688504675.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|idiom_xlm_roberta|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|803.7 MB|
+
+## References
+
+https://huggingface.co/imranraad/idiom-xlm-roberta
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-jcblaise_roberta_tagalog_base_ft_udpos213_top2lang_en.md b/docs/_posts/ahmedlone127/2024-09-07-jcblaise_roberta_tagalog_base_ft_udpos213_top2lang_en.md
new file mode 100644
index 00000000000000..04f4dea9a9ff20
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-jcblaise_roberta_tagalog_base_ft_udpos213_top2lang_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English jcblaise_roberta_tagalog_base_ft_udpos213_top2lang RoBertaForTokenClassification from katrinatan
+author: John Snow Labs
+name: jcblaise_roberta_tagalog_base_ft_udpos213_top2lang
+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.`jcblaise_roberta_tagalog_base_ft_udpos213_top2lang` is a English model originally trained by katrinatan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/jcblaise_roberta_tagalog_base_ft_udpos213_top2lang_en_5.5.0_3.0_1725721364058.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/jcblaise_roberta_tagalog_base_ft_udpos213_top2lang_en_5.5.0_3.0_1725721364058.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|jcblaise_roberta_tagalog_base_ft_udpos213_top2lang|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/katrinatan/jcblaise-roberta-tagalog-base_ft_udpos213-top2lang
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-opus_ecolindo_best_loss_bleu_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-opus_ecolindo_best_loss_bleu_pipeline_en.md
new file mode 100644
index 00000000000000..2735bf8eed2a7d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-opus_ecolindo_best_loss_bleu_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_ecolindo_best_loss_bleu_pipeline pipeline MarianTransformer from yonathanstwn
+author: John Snow Labs
+name: opus_ecolindo_best_loss_bleu_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_ecolindo_best_loss_bleu_pipeline` is a English model originally trained by yonathanstwn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_ecolindo_best_loss_bleu_pipeline_en_5.5.0_3.0_1725740700891.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_ecolindo_best_loss_bleu_pipeline_en_5.5.0_3.0_1725740700891.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_ecolindo_best_loss_bleu_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_ecolindo_best_loss_bleu_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_ecolindo_best_loss_bleu_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|482.5 MB|
+
+## References
+
+https://huggingface.co/yonathanstwn/opus-ecolindo-best-loss-bleu
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-opus_maltese_arabic_english_finetuned_src_tonga_tonga_islands_trg_testing_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-opus_maltese_arabic_english_finetuned_src_tonga_tonga_islands_trg_testing_pipeline_en.md
new file mode 100644
index 00000000000000..0668477009bc7e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-opus_maltese_arabic_english_finetuned_src_tonga_tonga_islands_trg_testing_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_arabic_english_finetuned_src_tonga_tonga_islands_trg_testing_pipeline pipeline MarianTransformer from s3h
+author: John Snow Labs
+name: opus_maltese_arabic_english_finetuned_src_tonga_tonga_islands_trg_testing_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_arabic_english_finetuned_src_tonga_tonga_islands_trg_testing_pipeline` is a English model originally trained by s3h.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_arabic_english_finetuned_src_tonga_tonga_islands_trg_testing_pipeline_en_5.5.0_3.0_1725740548093.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_arabic_english_finetuned_src_tonga_tonga_islands_trg_testing_pipeline_en_5.5.0_3.0_1725740548093.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_arabic_english_finetuned_src_tonga_tonga_islands_trg_testing_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_arabic_english_finetuned_src_tonga_tonga_islands_trg_testing_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_arabic_english_finetuned_src_tonga_tonga_islands_trg_testing_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|528.5 MB|
+
+## References
+
+https://huggingface.co/s3h/opus-mt-ar-en-finetuned-src-to-trg-testing
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-roberta_base_epoch_41_en.md b/docs/_posts/ahmedlone127/2024-09-07-roberta_base_epoch_41_en.md
new file mode 100644
index 00000000000000..caa9191393929a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-roberta_base_epoch_41_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_epoch_41 RoBertaEmbeddings from yanaiela
+author: John Snow Labs
+name: roberta_base_epoch_41
+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.`roberta_base_epoch_41` is a English model originally trained by yanaiela.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_41_en_5.5.0_3.0_1725678767788.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_41_en_5.5.0_3.0_1725678767788.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|study_dummy|
+|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/litlhope/study-dummy
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-weights_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-weights_pipeline_en.md
new file mode 100644
index 00000000000000..ca333119181593
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-weights_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English weights_pipeline pipeline RoBertaEmbeddings from vsty
+author: John Snow Labs
+name: weights_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.`weights_pipeline` is a English model originally trained by vsty.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/weights_pipeline_en_5.5.0_3.0_1725716850265.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/weights_pipeline_en_5.5.0_3.0_1725716850265.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("weights_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("weights_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|weights_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|275.1 MB|
+
+## References
+
+https://huggingface.co/vsty/weights
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-whisper_noisy_en.md b/docs/_posts/ahmedlone127/2024-09-07-whisper_noisy_en.md
new file mode 100644
index 00000000000000..d956e7c34e8672
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-whisper_noisy_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_noisy WhisperForCTC from alxfng
+author: John Snow Labs
+name: whisper_noisy
+date: 2024-09-07
+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_noisy` is a English model originally trained by alxfng.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_noisy_en_5.5.0_3.0_1725751456084.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_noisy_en_5.5.0_3.0_1725751456084.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_noisy|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|643.5 MB|
+
+## References
+
+https://huggingface.co/alxfng/whisper-noisy
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-xlm_roberta_base_final_vietnam_aug_insert_w2v_2_en.md b/docs/_posts/ahmedlone127/2024-09-07-xlm_roberta_base_final_vietnam_aug_insert_w2v_2_en.md
new file mode 100644
index 00000000000000..acb391bb299b53
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-xlm_roberta_base_final_vietnam_aug_insert_w2v_2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_final_vietnam_aug_insert_w2v_2 XlmRoBertaForSequenceClassification from ThuyNT03
+author: John Snow Labs
+name: xlm_roberta_base_final_vietnam_aug_insert_w2v_2
+date: 2024-09-07
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_final_vietnam_aug_insert_w2v_2` is a English model originally trained by ThuyNT03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_final_vietnam_aug_insert_w2v_2_en_5.5.0_3.0_1725669414119.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_final_vietnam_aug_insert_w2v_2_en_5.5.0_3.0_1725669414119.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_final_vietnam_aug_insert_w2v_2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|795.9 MB|
+
+## References
+
+https://huggingface.co/ThuyNT03/xlm-roberta-base-Final_VietNam-aug_insert_w2v-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-xlm_roberta_base_finetuned_panx_french_inniok_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-07-xlm_roberta_base_finetuned_panx_french_inniok_pipeline_en.md
new file mode 100644
index 00000000000000..7ec13d728f1d80
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-xlm_roberta_base_finetuned_panx_french_inniok_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_inniok_pipeline pipeline XlmRoBertaForTokenClassification from inniok
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_inniok_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_french_inniok_pipeline` 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_french_inniok_pipeline_en_5.5.0_3.0_1725693856599.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_inniok_pipeline_en_5.5.0_3.0_1725693856599.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_inniok_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_inniok_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_inniok_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|827.9 MB|
+
+## References
+
+https://huggingface.co/inniok/xlm-roberta-base-finetuned-panx-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-xlmroberta_ner_tner_base_ontonotes5_en.md b/docs/_posts/ahmedlone127/2024-09-07-xlmroberta_ner_tner_base_ontonotes5_en.md
new file mode 100644
index 00000000000000..8c3a3ab11b0615
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-xlmroberta_ner_tner_base_ontonotes5_en.md
@@ -0,0 +1,113 @@
+---
+layout: model
+title: English XLMRobertaForTokenClassification Base Cased model (from asahi417)
+author: John Snow Labs
+name: xlmroberta_ner_tner_base_ontonotes5
+date: 2024-09-07
+tags: [en, open_source, xlm_roberta, ner, onnx]
+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. `tner-xlm-roberta-base-ontonotes5` is a English model originally trained by `asahi417`.
+
+## Predicted Entities
+
+`language`, `product`, `percent`, `time`, `quantity`, `ordinal number`, `law`, `cardinal number`, `facility`, `event`, `geopolitical area`, `organization`, `group`, `money`, `work of art`, `person`, `location`, `date`
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlmroberta_ner_tner_base_ontonotes5_en_5.5.0_3.0_1725689019834.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlmroberta_ner_tner_base_ontonotes5_en_5.5.0_3.0_1725689019834.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_tner_base_ontonotes5|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|798.0 MB|
+
+## References
+
+References
+
+- https://huggingface.co/asahi417/tner-xlm-roberta-base-ontonotes5
+- https://github.com/asahi417/tner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-07-xlmroberta_ner_xlm_roberta_base_finetuned_panx_ner_pipeline_it.md b/docs/_posts/ahmedlone127/2024-09-07-xlmroberta_ner_xlm_roberta_base_finetuned_panx_ner_pipeline_it.md
new file mode 100644
index 00000000000000..930a0657bb08ef
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-07-xlmroberta_ner_xlm_roberta_base_finetuned_panx_ner_pipeline_it.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Italian xlmroberta_ner_xlm_roberta_base_finetuned_panx_ner_pipeline pipeline XlmRoBertaForTokenClassification from gunghio
+author: John Snow Labs
+name: xlmroberta_ner_xlm_roberta_base_finetuned_panx_ner_pipeline
+date: 2024-09-07
+tags: [it, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: it
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlmroberta_ner_xlm_roberta_base_finetuned_panx_ner_pipeline` is a Italian model originally trained by gunghio.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlmroberta_ner_xlm_roberta_base_finetuned_panx_ner_pipeline_it_5.5.0_3.0_1725743924536.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_pipeline_it_5.5.0_3.0_1725743924536.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlmroberta_ner_xlm_roberta_base_finetuned_panx_ner_pipeline", lang = "it")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlmroberta_ner_xlm_roberta_base_finetuned_panx_ner_pipeline", lang = "it")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlmroberta_ner_xlm_roberta_base_finetuned_panx_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|it|
+|Size:|877.6 MB|
+
+## References
+
+https://huggingface.co/gunghio/xlm-roberta-base-finetuned-panx-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-all_roberta_large_v1_meta_4_16_5_oos_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-all_roberta_large_v1_meta_4_16_5_oos_pipeline_en.md
new file mode 100644
index 00000000000000..fc2156532927fc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-all_roberta_large_v1_meta_4_16_5_oos_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English all_roberta_large_v1_meta_4_16_5_oos_pipeline pipeline RoBertaForSequenceClassification from fathyshalab
+author: John Snow Labs
+name: all_roberta_large_v1_meta_4_16_5_oos_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.`all_roberta_large_v1_meta_4_16_5_oos_pipeline` is a English model originally trained by fathyshalab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_meta_4_16_5_oos_pipeline_en_5.5.0_3.0_1725830265458.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_meta_4_16_5_oos_pipeline_en_5.5.0_3.0_1725830265458.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_4_16_5_oos_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("all_roberta_large_v1_meta_4_16_5_oos_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_roberta_large_v1_meta_4_16_5_oos_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/fathyshalab/all-roberta-large-v1-meta-4-16-5-oos
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-bert_polish_sentiment_politics_pl.md b/docs/_posts/ahmedlone127/2024-09-08-bert_polish_sentiment_politics_pl.md
new file mode 100644
index 00000000000000..0f8f1d8fac8cb5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-bert_polish_sentiment_politics_pl.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Polish bert_polish_sentiment_politics BertForSequenceClassification from eevvgg
+author: John Snow Labs
+name: bert_polish_sentiment_politics
+date: 2024-09-08
+tags: [pl, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: pl
+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_polish_sentiment_politics` is a Polish model originally trained by eevvgg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_polish_sentiment_politics_pl_5.5.0_3.0_1725838924216.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_polish_sentiment_politics_pl_5.5.0_3.0_1725838924216.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_polish_sentiment_politics|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|pl|
+|Size:|495.8 MB|
+
+## References
+
+https://huggingface.co/eevvgg/bert-polish-sentiment-politics
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-biolinkbert_base_michiyasunaga_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-biolinkbert_base_michiyasunaga_pipeline_en.md
new file mode 100644
index 00000000000000..38e5bf0ba91901
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-biolinkbert_base_michiyasunaga_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English biolinkbert_base_michiyasunaga_pipeline pipeline BertForSequenceClassification from michiyasunaga
+author: John Snow Labs
+name: biolinkbert_base_michiyasunaga_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.`biolinkbert_base_michiyasunaga_pipeline` is a English model originally trained by michiyasunaga.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biolinkbert_base_michiyasunaga_pipeline_en_5.5.0_3.0_1725761245691.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biolinkbert_base_michiyasunaga_pipeline_en_5.5.0_3.0_1725761245691.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("biolinkbert_base_michiyasunaga_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("biolinkbert_base_michiyasunaga_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biolinkbert_base_michiyasunaga_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|405.7 MB|
+
+## References
+
+https://huggingface.co/michiyasunaga/BioLinkBERT-base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-burmese_awesome_qa_model_wingpatil_en.md b/docs/_posts/ahmedlone127/2024-09-08-burmese_awesome_qa_model_wingpatil_en.md
new file mode 100644
index 00000000000000..1854f9865b3514
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-burmese_awesome_qa_model_wingpatil_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_wingpatil DistilBertForQuestionAnswering from WingPatil
+author: John Snow Labs
+name: burmese_awesome_qa_model_wingpatil
+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_wingpatil` is a English model originally trained by WingPatil.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_wingpatil_en_5.5.0_3.0_1725818222191.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_wingpatil_en_5.5.0_3.0_1725818222191.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_wingpatil|
+|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/WingPatil/my_awesome_qa_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-burmese_awesome_qa_model_wingpatil_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-burmese_awesome_qa_model_wingpatil_pipeline_en.md
new file mode 100644
index 00000000000000..7f08dad77bbcdf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-burmese_awesome_qa_model_wingpatil_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_wingpatil_pipeline pipeline DistilBertForQuestionAnswering from WingPatil
+author: John Snow Labs
+name: burmese_awesome_qa_model_wingpatil_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_wingpatil_pipeline` is a English model originally trained by WingPatil.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_wingpatil_pipeline_en_5.5.0_3.0_1725818234626.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_wingpatil_pipeline_en_5.5.0_3.0_1725818234626.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_wingpatil_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_qa_model_wingpatil_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_wingpatil_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/WingPatil/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_qa_model_xbotwovenware_en.md b/docs/_posts/ahmedlone127/2024-09-08-burmese_awesome_qa_model_xbotwovenware_en.md
new file mode 100644
index 00000000000000..be7baa54a187e4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-burmese_awesome_qa_model_xbotwovenware_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_xbotwovenware DistilBertForQuestionAnswering from xbotwovenware
+author: John Snow Labs
+name: burmese_awesome_qa_model_xbotwovenware
+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_xbotwovenware` is a English model originally trained by xbotwovenware.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_xbotwovenware_en_5.5.0_3.0_1725823193444.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_xbotwovenware_en_5.5.0_3.0_1725823193444.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_xbotwovenware|
+|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/xbotwovenware/my_awesome_qa_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-burmese_awesome_wnut_model_jaepax_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-burmese_awesome_wnut_model_jaepax_pipeline_en.md
new file mode 100644
index 00000000000000..7da39af4484389
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-burmese_awesome_wnut_model_jaepax_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_jaepax_pipeline pipeline DistilBertForTokenClassification from JaepaX
+author: John Snow Labs
+name: burmese_awesome_wnut_model_jaepax_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_jaepax_pipeline` is a English model originally trained by JaepaX.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_jaepax_pipeline_en_5.5.0_3.0_1725837217305.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_jaepax_pipeline_en_5.5.0_3.0_1725837217305.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_jaepax_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_wnut_model_jaepax_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_jaepax_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/JaepaX/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_maniack_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-burmese_awesome_wnut_model_maniack_pipeline_en.md
new file mode 100644
index 00000000000000..83f4e441e7b7d1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-burmese_awesome_wnut_model_maniack_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_wnut_model_maniack_pipeline pipeline DistilBertForTokenClassification from maniack
+author: John Snow Labs
+name: burmese_awesome_wnut_model_maniack_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_maniack_pipeline` is a English model originally trained by maniack.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_maniack_pipeline_en_5.5.0_3.0_1725788657994.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_wnut_model_maniack_pipeline_en_5.5.0_3.0_1725788657994.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_maniack_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_wnut_model_maniack_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_wnut_model_maniack_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/maniack/my_awesome_wnut_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-cnec2_0_supertypes_distilbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-cnec2_0_supertypes_distilbert_pipeline_en.md
new file mode 100644
index 00000000000000..29e4e03072b773
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-cnec2_0_supertypes_distilbert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English cnec2_0_supertypes_distilbert_pipeline pipeline DistilBertForTokenClassification from stulcrad
+author: John Snow Labs
+name: cnec2_0_supertypes_distilbert_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.`cnec2_0_supertypes_distilbert_pipeline` is a English model originally trained by stulcrad.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cnec2_0_supertypes_distilbert_pipeline_en_5.5.0_3.0_1725837317362.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cnec2_0_supertypes_distilbert_pipeline_en_5.5.0_3.0_1725837317362.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cnec2_0_supertypes_distilbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cnec2_0_supertypes_distilbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cnec2_0_supertypes_distilbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|505.5 MB|
+
+## References
+
+https://huggingface.co/stulcrad/CNEC2_0_Supertypes_distilbert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-cross_encoder_russian_msmarco_ru.md b/docs/_posts/ahmedlone127/2024-09-08-cross_encoder_russian_msmarco_ru.md
new file mode 100644
index 00000000000000..a18705a146527b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-cross_encoder_russian_msmarco_ru.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Russian cross_encoder_russian_msmarco BertForSequenceClassification from DiTy
+author: John Snow Labs
+name: cross_encoder_russian_msmarco
+date: 2024-09-08
+tags: [ru, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: ru
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cross_encoder_russian_msmarco` is a Russian model originally trained by DiTy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cross_encoder_russian_msmarco_ru_5.5.0_3.0_1725802229812.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cross_encoder_russian_msmarco_ru_5.5.0_3.0_1725802229812.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cross_encoder_russian_msmarco|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|ru|
+|Size:|666.5 MB|
+
+## References
+
+https://huggingface.co/DiTy/cross-encoder-russian-msmarco
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-cw_ner_model_pipeline_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-cw_ner_model_pipeline_pipeline_en.md
new file mode 100644
index 00000000000000..1f6ad46b0bd8e8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-cw_ner_model_pipeline_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English cw_ner_model_pipeline_pipeline pipeline DistilBertForTokenClassification from ArshiaKarimian
+author: John Snow Labs
+name: cw_ner_model_pipeline_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.`cw_ner_model_pipeline_pipeline` is a English model originally trained by ArshiaKarimian.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cw_ner_model_pipeline_pipeline_en_5.5.0_3.0_1725828002224.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cw_ner_model_pipeline_pipeline_en_5.5.0_3.0_1725828002224.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cw_ner_model_pipeline_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cw_ner_model_pipeline_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cw_ner_model_pipeline_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/CW_NER_MODEL_PIPELINE
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-deberta_amazon_reviews_v1_bweb771_en.md b/docs/_posts/ahmedlone127/2024-09-08-deberta_amazon_reviews_v1_bweb771_en.md
new file mode 100644
index 00000000000000..e7f6cc6e0a1aad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-deberta_amazon_reviews_v1_bweb771_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English deberta_amazon_reviews_v1_bweb771 DeBertaForSequenceClassification from bweb771
+author: John Snow Labs
+name: deberta_amazon_reviews_v1_bweb771
+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_amazon_reviews_v1_bweb771` is a English model originally trained by bweb771.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deberta_amazon_reviews_v1_bweb771_en_5.5.0_3.0_1725804040284.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_amazon_reviews_v1_bweb771_en_5.5.0_3.0_1725804040284.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deberta_amazon_reviews_v1_bweb771|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|437.4 MB|
+
+## References
+
+https://huggingface.co/bweb771/deberta_amazon_reviews_v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-deberta_v3_large_finetuned_dagpap22_synthetic_all_overfit_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-deberta_v3_large_finetuned_dagpap22_synthetic_all_overfit_pipeline_en.md
new file mode 100644
index 00000000000000..867678d7f0f235
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-deberta_v3_large_finetuned_dagpap22_synthetic_all_overfit_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English deberta_v3_large_finetuned_dagpap22_synthetic_all_overfit_pipeline pipeline DeBertaForSequenceClassification from domenicrosati
+author: John Snow Labs
+name: deberta_v3_large_finetuned_dagpap22_synthetic_all_overfit_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_finetuned_dagpap22_synthetic_all_overfit_pipeline` is a English model originally trained by domenicrosati.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deberta_v3_large_finetuned_dagpap22_synthetic_all_overfit_pipeline_en_5.5.0_3.0_1725803179187.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_v3_large_finetuned_dagpap22_synthetic_all_overfit_pipeline_en_5.5.0_3.0_1725803179187.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("deberta_v3_large_finetuned_dagpap22_synthetic_all_overfit_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("deberta_v3_large_finetuned_dagpap22_synthetic_all_overfit_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deberta_v3_large_finetuned_dagpap22_synthetic_all_overfit_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.6 GB|
+
+## References
+
+https://huggingface.co/domenicrosati/deberta-v3-large-finetuned-DAGPap22-synthetic-all-overfit
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DeBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_ner_cnguyenta_en.md b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_ner_cnguyenta_en.md
new file mode 100644
index 00000000000000..cdd048bcddf72a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_finetuned_ner_cnguyenta_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_cnguyenta DistilBertForTokenClassification from cnguyenta
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_cnguyenta
+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_cnguyenta` is a English model originally trained by cnguyenta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_cnguyenta_en_5.5.0_3.0_1725837410078.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_cnguyenta_en_5.5.0_3.0_1725837410078.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_cnguyenta|
+|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/cnguyenta/distilbert-base-uncased-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1_plprefix0stlarge16_simsp400_clean300_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1_plprefix0stlarge16_simsp400_clean300_pipeline_en.md
new file mode 100644
index 00000000000000..89ef13e6f54b8b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1_plprefix0stlarge16_simsp400_clean300_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1_plprefix0stlarge16_simsp400_clean300_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1_plprefix0stlarge16_simsp400_clean300_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_odm_zphr_0st16sd_ut72ut1_plprefix0stlarge16_simsp400_clean300_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1_plprefix0stlarge16_simsp400_clean300_pipeline_en_5.5.0_3.0_1725775392717.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1_plprefix0stlarge16_simsp400_clean300_pipeline_en_5.5.0_3.0_1725775392717.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1_plprefix0stlarge16_simsp400_clean300_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1_plprefix0stlarge16_simsp400_clean300_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st16sd_ut72ut1_plprefix0stlarge16_simsp400_clean300_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st16sd_ut72ut1_PLPrefix0stlarge16_simsp400_clean300
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-distilbert_finetuned_squadv2_zoanhy_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-distilbert_finetuned_squadv2_zoanhy_pipeline_en.md
new file mode 100644
index 00000000000000..50c4e42b16d7b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-distilbert_finetuned_squadv2_zoanhy_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_finetuned_squadv2_zoanhy_pipeline pipeline DistilBertForQuestionAnswering from zoanhy
+author: John Snow Labs
+name: distilbert_finetuned_squadv2_zoanhy_pipeline
+date: 2024-09-08
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_squadv2_zoanhy_pipeline` is a English model originally trained by zoanhy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_squadv2_zoanhy_pipeline_en_5.5.0_3.0_1725818540318.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_squadv2_zoanhy_pipeline_en_5.5.0_3.0_1725818540318.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_finetuned_squadv2_zoanhy_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_finetuned_squadv2_zoanhy_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_squadv2_zoanhy_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/zoanhy/distilbert-finetuned-squadv2
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-dock_2_en.md b/docs/_posts/ahmedlone127/2024-09-08-dock_2_en.md
new file mode 100644
index 00000000000000..d0cc4d6d1cc7b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-dock_2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English dock_2 RoBertaForSequenceClassification from BaronSch
+author: John Snow Labs
+name: dock_2
+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.`dock_2` is a English model originally trained by BaronSch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dock_2_en_5.5.0_3.0_1725820972714.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dock_2_en_5.5.0_3.0_1725820972714.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dock_2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.5 MB|
+
+## References
+
+https://huggingface.co/BaronSch/Dock_2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-has_the_doctor_specified_whether_the_patient_can_belarusian_seen_heard_bert_first512_en.md b/docs/_posts/ahmedlone127/2024-09-08-has_the_doctor_specified_whether_the_patient_can_belarusian_seen_heard_bert_first512_en.md
new file mode 100644
index 00000000000000..d1192e19f1e438
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-has_the_doctor_specified_whether_the_patient_can_belarusian_seen_heard_bert_first512_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English has_the_doctor_specified_whether_the_patient_can_belarusian_seen_heard_bert_first512 BertForSequenceClassification from etadevosyan
+author: John Snow Labs
+name: has_the_doctor_specified_whether_the_patient_can_belarusian_seen_heard_bert_first512
+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.`has_the_doctor_specified_whether_the_patient_can_belarusian_seen_heard_bert_first512` is a English model originally trained by etadevosyan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/has_the_doctor_specified_whether_the_patient_can_belarusian_seen_heard_bert_first512_en_5.5.0_3.0_1725768500772.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/has_the_doctor_specified_whether_the_patient_can_belarusian_seen_heard_bert_first512_en_5.5.0_3.0_1725768500772.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|helsinki_multiple_languages_english_test|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|532.4 MB|
+
+## References
+
+https://huggingface.co/Shularp/Helsinki_mul-en_test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-intent_classifier_frana9812_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-intent_classifier_frana9812_pipeline_en.md
new file mode 100644
index 00000000000000..be03f728224770
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-intent_classifier_frana9812_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English intent_classifier_frana9812_pipeline pipeline DistilBertForSequenceClassification from Frana9812
+author: John Snow Labs
+name: intent_classifier_frana9812_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.`intent_classifier_frana9812_pipeline` is a English model originally trained by Frana9812.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/intent_classifier_frana9812_pipeline_en_5.5.0_3.0_1725774870205.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/intent_classifier_frana9812_pipeline_en_5.5.0_3.0_1725774870205.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("intent_classifier_frana9812_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("intent_classifier_frana9812_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|intent_classifier_frana9812_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/Frana9812/intent_classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-invited_the_patient_tonga_tonga_islands_a_dialogue_bert_first128_en.md b/docs/_posts/ahmedlone127/2024-09-08-invited_the_patient_tonga_tonga_islands_a_dialogue_bert_first128_en.md
new file mode 100644
index 00000000000000..358b2d928b4bdc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-invited_the_patient_tonga_tonga_islands_a_dialogue_bert_first128_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English invited_the_patient_tonga_tonga_islands_a_dialogue_bert_first128 BertForSequenceClassification from etadevosyan
+author: John Snow Labs
+name: invited_the_patient_tonga_tonga_islands_a_dialogue_bert_first128
+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.`invited_the_patient_tonga_tonga_islands_a_dialogue_bert_first128` is a English model originally trained by etadevosyan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/invited_the_patient_tonga_tonga_islands_a_dialogue_bert_first128_en_5.5.0_3.0_1725768285726.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/invited_the_patient_tonga_tonga_islands_a_dialogue_bert_first128_en_5.5.0_3.0_1725768285726.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|invited_the_patient_tonga_tonga_islands_a_dialogue_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/invited_the_patient_to_a_dialogue_bert_First128
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-lab1_random_chenxin0903_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-lab1_random_chenxin0903_pipeline_en.md
new file mode 100644
index 00000000000000..40fb927d72f1e9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-lab1_random_chenxin0903_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English lab1_random_chenxin0903_pipeline pipeline MarianTransformer from Chenxin0903
+author: John Snow Labs
+name: lab1_random_chenxin0903_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_chenxin0903_pipeline` is a English model originally trained by Chenxin0903.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lab1_random_chenxin0903_pipeline_en_5.5.0_3.0_1725824732042.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lab1_random_chenxin0903_pipeline_en_5.5.0_3.0_1725824732042.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("lab1_random_chenxin0903_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("lab1_random_chenxin0903_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lab1_random_chenxin0903_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|510.3 MB|
+
+## References
+
+https://huggingface.co/Chenxin0903/lab1_random
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-lab1_random_den_sota_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-lab1_random_den_sota_pipeline_en.md
new file mode 100644
index 00000000000000..5f783328b6040e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-lab1_random_den_sota_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English lab1_random_den_sota_pipeline pipeline MarianTransformer from Den-sota
+author: John Snow Labs
+name: lab1_random_den_sota_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_den_sota_pipeline` is a English model originally trained by Den-sota.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lab1_random_den_sota_pipeline_en_5.5.0_3.0_1725824342058.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lab1_random_den_sota_pipeline_en_5.5.0_3.0_1725824342058.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("lab1_random_den_sota_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("lab1_random_den_sota_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lab1_random_den_sota_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|508.8 MB|
+
+## References
+
+https://huggingface.co/Den-sota/lab1_random
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-lenu_us_chichewa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-lenu_us_chichewa_pipeline_en.md
new file mode 100644
index 00000000000000..773ac03377704b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-lenu_us_chichewa_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English lenu_us_chichewa_pipeline pipeline BertForSequenceClassification from Sociovestix
+author: John Snow Labs
+name: lenu_us_chichewa_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_us_chichewa_pipeline` is a English model originally trained by Sociovestix.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lenu_us_chichewa_pipeline_en_5.5.0_3.0_1725819023062.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lenu_us_chichewa_pipeline_en_5.5.0_3.0_1725819023062.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("lenu_us_chichewa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("lenu_us_chichewa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lenu_us_chichewa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/Sociovestix/lenu_US-NY
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-ner_bert_model_en.md b/docs/_posts/ahmedlone127/2024-09-08-ner_bert_model_en.md
new file mode 100644
index 00000000000000..cd833ec4b11fea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-ner_bert_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ner_bert_model DistilBertForTokenClassification from harsh13333
+author: John Snow Labs
+name: ner_bert_model
+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.`ner_bert_model` is a English model originally trained by harsh13333.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_bert_model_en_5.5.0_3.0_1725788733810.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_bert_model_en_5.5.0_3.0_1725788733810.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_bert_model|
+|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/harsh13333/ner_bert_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-ner_bert_uncased_model_en.md b/docs/_posts/ahmedlone127/2024-09-08-ner_bert_uncased_model_en.md
new file mode 100644
index 00000000000000..838f057116ba63
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-ner_bert_uncased_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ner_bert_uncased_model DistilBertForTokenClassification from pritmanvar
+author: John Snow Labs
+name: ner_bert_uncased_model
+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.`ner_bert_uncased_model` is a English model originally trained by pritmanvar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ner_bert_uncased_model_en_5.5.0_3.0_1725788474802.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ner_bert_uncased_model_en_5.5.0_3.0_1725788474802.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_multilingualbert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|xx|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/DrRinS/NER_MultilingualBERT
\ 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_ncduy_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_ncduy_pipeline_en.md
new file mode 100644
index 00000000000000..ec286b0989cadf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_ncduy_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_ncduy_pipeline pipeline MarianTransformer from ncduy
+author: John Snow Labs
+name: opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_ncduy_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_romanian_finetuned_english_tonga_tonga_islands_romanian_ncduy_pipeline` is a English model originally trained by ncduy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_ncduy_pipeline_en_5.5.0_3.0_1725795118472.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_ncduy_pipeline_en_5.5.0_3.0_1725795118472.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_ncduy_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_ncduy_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_ncduy_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|509.1 MB|
+
+## References
+
+https://huggingface.co/ncduy/opus-mt-en-ro-finetuned-en-to-ro
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-product_review_information_density_detection_distilbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-product_review_information_density_detection_distilbert_pipeline_en.md
new file mode 100644
index 00000000000000..403fc30663bd94
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-product_review_information_density_detection_distilbert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English product_review_information_density_detection_distilbert_pipeline pipeline DistilBertForSequenceClassification from aloychow
+author: John Snow Labs
+name: product_review_information_density_detection_distilbert_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.`product_review_information_density_detection_distilbert_pipeline` is a English model originally trained by aloychow.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/product_review_information_density_detection_distilbert_pipeline_en_5.5.0_3.0_1725764662987.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/product_review_information_density_detection_distilbert_pipeline_en_5.5.0_3.0_1725764662987.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("product_review_information_density_detection_distilbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("product_review_information_density_detection_distilbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|product_review_information_density_detection_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/aloychow/product-review-information-density-detection-distilbert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-qnli_microsoft_deberta_v3_large_seed_1_en.md b/docs/_posts/ahmedlone127/2024-09-08-qnli_microsoft_deberta_v3_large_seed_1_en.md
new file mode 100644
index 00000000000000..6b513416825627
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-qnli_microsoft_deberta_v3_large_seed_1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English qnli_microsoft_deberta_v3_large_seed_1 DeBertaForSequenceClassification from utahnlp
+author: John Snow Labs
+name: qnli_microsoft_deberta_v3_large_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.`qnli_microsoft_deberta_v3_large_seed_1` is a English model originally trained by utahnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/qnli_microsoft_deberta_v3_large_seed_1_en_5.5.0_3.0_1725811376124.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/qnli_microsoft_deberta_v3_large_seed_1_en_5.5.0_3.0_1725811376124.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|qnli_microsoft_deberta_v3_large_seed_1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.6 GB|
+
+## References
+
+https://huggingface.co/utahnlp/qnli_microsoft_deberta-v3-large_seed-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-question_classifier_model_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-question_classifier_model_v2_pipeline_en.md
new file mode 100644
index 00000000000000..3dca9c74e8f7f0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-question_classifier_model_v2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English question_classifier_model_v2_pipeline pipeline DistilBertForSequenceClassification from sophiaqho
+author: John Snow Labs
+name: question_classifier_model_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 DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`question_classifier_model_v2_pipeline` is a English model originally trained by sophiaqho.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/question_classifier_model_v2_pipeline_en_5.5.0_3.0_1725764727893.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/question_classifier_model_v2_pipeline_en_5.5.0_3.0_1725764727893.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("question_classifier_model_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("question_classifier_model_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|question_classifier_model_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/sophiaqho/question_classifier_model_v2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-recipes_trainer_n_sentences_per_recipe_3_sep_true_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-recipes_trainer_n_sentences_per_recipe_3_sep_true_pipeline_en.md
new file mode 100644
index 00000000000000..15db3ab30ec03a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-recipes_trainer_n_sentences_per_recipe_3_sep_true_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English recipes_trainer_n_sentences_per_recipe_3_sep_true_pipeline pipeline CamemBertEmbeddings from comartinez
+author: John Snow Labs
+name: recipes_trainer_n_sentences_per_recipe_3_sep_true_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.`recipes_trainer_n_sentences_per_recipe_3_sep_true_pipeline` is a English model originally trained by comartinez.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/recipes_trainer_n_sentences_per_recipe_3_sep_true_pipeline_en_5.5.0_3.0_1725836759887.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/recipes_trainer_n_sentences_per_recipe_3_sep_true_pipeline_en_5.5.0_3.0_1725836759887.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("recipes_trainer_n_sentences_per_recipe_3_sep_true_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("recipes_trainer_n_sentences_per_recipe_3_sep_true_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|recipes_trainer_n_sentences_per_recipe_3_sep_true_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|412.3 MB|
+
+## References
+
+https://huggingface.co/comartinez/recipes-trainer_n_sentences_per_recipe_3_sep_True
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- CamemBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-roberta_base_climate_evidence_related_en.md b/docs/_posts/ahmedlone127/2024-09-08-roberta_base_climate_evidence_related_en.md
new file mode 100644
index 00000000000000..438b16d189e169
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-roberta_base_climate_evidence_related_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_climate_evidence_related RoBertaForSequenceClassification from mwong
+author: John Snow Labs
+name: roberta_base_climate_evidence_related
+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_base_climate_evidence_related` is a English model originally trained by mwong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_climate_evidence_related_en_5.5.0_3.0_1725778481010.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_climate_evidence_related_en_5.5.0_3.0_1725778481010.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_finetuned_squad_katxtong|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|463.5 MB|
+
+## References
+
+https://huggingface.co/katxtong/roberta-base-squad2-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-roberta_finetuned_subjqa_movies_2_ram20307_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-roberta_finetuned_subjqa_movies_2_ram20307_pipeline_en.md
new file mode 100644
index 00000000000000..627f13a47c5cd1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-roberta_finetuned_subjqa_movies_2_ram20307_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_finetuned_subjqa_movies_2_ram20307_pipeline pipeline RoBertaForQuestionAnswering from Ram20307
+author: John Snow Labs
+name: roberta_finetuned_subjqa_movies_2_ram20307_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_finetuned_subjqa_movies_2_ram20307_pipeline` is a English model originally trained by Ram20307.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_subjqa_movies_2_ram20307_pipeline_en_5.5.0_3.0_1725758133096.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_subjqa_movies_2_ram20307_pipeline_en_5.5.0_3.0_1725758133096.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_ram20307_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_finetuned_subjqa_movies_2_ram20307_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_finetuned_subjqa_movies_2_ram20307_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|464.1 MB|
+
+## References
+
+https://huggingface.co/Ram20307/roberta-finetuned-subjqa-movies_2
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-schemeclassifier_eng_en.md b/docs/_posts/ahmedlone127/2024-09-08-schemeclassifier_eng_en.md
new file mode 100644
index 00000000000000..31b76fa15d92f7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-schemeclassifier_eng_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English schemeclassifier_eng RoBertaForSequenceClassification from raruidol
+author: John Snow Labs
+name: schemeclassifier_eng
+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.`schemeclassifier_eng` is a English model originally trained by raruidol.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/schemeclassifier_eng_en_5.5.0_3.0_1725830821795.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/schemeclassifier_eng_en_5.5.0_3.0_1725830821795.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|schemeclassifier_eng|
+|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/raruidol/SchemeClassifier-ENG
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-self_harm_bert_en.md b/docs/_posts/ahmedlone127/2024-09-08-self_harm_bert_en.md
new file mode 100644
index 00000000000000..f5ec86de2a57ee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-self_harm_bert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English self_harm_bert BertForSequenceClassification from dkuzmenko
+author: John Snow Labs
+name: self_harm_bert
+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.`self_harm_bert` is a English model originally trained by dkuzmenko.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/self_harm_bert_en_5.5.0_3.0_1725825806901.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/self_harm_bert_en_5.5.0_3.0_1725825806901.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|self_harm_bert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|627.7 MB|
+
+## References
+
+https://huggingface.co/dkuzmenko/self-harm-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-sent_xlm_roberta_base_finetuned_burmese_dear_watson2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-sent_xlm_roberta_base_finetuned_burmese_dear_watson2_pipeline_en.md
new file mode 100644
index 00000000000000..c852196f8e6140
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-sent_xlm_roberta_base_finetuned_burmese_dear_watson2_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_xlm_roberta_base_finetuned_burmese_dear_watson2_pipeline pipeline XlmRoBertaSentenceEmbeddings from SmartPy
+author: John Snow Labs
+name: sent_xlm_roberta_base_finetuned_burmese_dear_watson2_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 XlmRoBertaSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_xlm_roberta_base_finetuned_burmese_dear_watson2_pipeline` is a English model originally trained by SmartPy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_xlm_roberta_base_finetuned_burmese_dear_watson2_pipeline_en_5.5.0_3.0_1725813365707.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_xlm_roberta_base_finetuned_burmese_dear_watson2_pipeline_en_5.5.0_3.0_1725813365707.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_burmese_dear_watson2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_xlm_roberta_base_finetuned_burmese_dear_watson2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_xlm_roberta_base_finetuned_burmese_dear_watson2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/SmartPy/xlm-roberta-base-finetuned-my_dear_watson2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- XlmRoBertaSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-somd_xlm_3stage_stage1_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-somd_xlm_3stage_stage1_v1_pipeline_en.md
new file mode 100644
index 00000000000000..355f160669d579
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-somd_xlm_3stage_stage1_v1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English somd_xlm_3stage_stage1_v1_pipeline pipeline XlmRoBertaForTokenClassification from ThuyNT03
+author: John Snow Labs
+name: somd_xlm_3stage_stage1_v1_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.`somd_xlm_3stage_stage1_v1_pipeline` is a English model originally trained by ThuyNT03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/somd_xlm_3stage_stage1_v1_pipeline_en_5.5.0_3.0_1725806785812.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/somd_xlm_3stage_stage1_v1_pipeline_en_5.5.0_3.0_1725806785812.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("somd_xlm_3stage_stage1_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("somd_xlm_3stage_stage1_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|somd_xlm_3stage_stage1_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|779.7 MB|
+
+## References
+
+https://huggingface.co/ThuyNT03/SOMD-xlm-3stage-stage1-v1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-spark_name_armenian_tonga_tonga_islands_english_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-spark_name_armenian_tonga_tonga_islands_english_pipeline_en.md
new file mode 100644
index 00000000000000..58eff253f48adc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-spark_name_armenian_tonga_tonga_islands_english_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English spark_name_armenian_tonga_tonga_islands_english_pipeline pipeline MarianTransformer from ihebaker10
+author: John Snow Labs
+name: spark_name_armenian_tonga_tonga_islands_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.`spark_name_armenian_tonga_tonga_islands_english_pipeline` is a English model originally trained by ihebaker10.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/spark_name_armenian_tonga_tonga_islands_english_pipeline_en_5.5.0_3.0_1725825000733.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/spark_name_armenian_tonga_tonga_islands_english_pipeline_en_5.5.0_3.0_1725825000733.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("spark_name_armenian_tonga_tonga_islands_english_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("spark_name_armenian_tonga_tonga_islands_english_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|spark_name_armenian_tonga_tonga_islands_english_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|524.1 MB|
+
+## References
+
+https://huggingface.co/ihebaker10/spark-name-hy-to-en
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-stego_classifier_checkpoint_epoch_50_2024_07_26_14_26_52_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-stego_classifier_checkpoint_epoch_50_2024_07_26_14_26_52_pipeline_en.md
new file mode 100644
index 00000000000000..e9bffec21f1658
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-stego_classifier_checkpoint_epoch_50_2024_07_26_14_26_52_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English stego_classifier_checkpoint_epoch_50_2024_07_26_14_26_52_pipeline pipeline DistilBertForSequenceClassification from jvelja
+author: John Snow Labs
+name: stego_classifier_checkpoint_epoch_50_2024_07_26_14_26_52_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.`stego_classifier_checkpoint_epoch_50_2024_07_26_14_26_52_pipeline` is a English model originally trained by jvelja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_50_2024_07_26_14_26_52_pipeline_en_5.5.0_3.0_1725775576005.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_50_2024_07_26_14_26_52_pipeline_en_5.5.0_3.0_1725775576005.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("stego_classifier_checkpoint_epoch_50_2024_07_26_14_26_52_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("stego_classifier_checkpoint_epoch_50_2024_07_26_14_26_52_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stego_classifier_checkpoint_epoch_50_2024_07_26_14_26_52_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jvelja/stego-classifier-checkpoint-epoch-50-2024-07-26_14-26-52
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-test_squad_xuyilx_en.md b/docs/_posts/ahmedlone127/2024-09-08-test_squad_xuyilx_en.md
new file mode 100644
index 00000000000000..8a7a39b28f926c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-test_squad_xuyilx_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English test_squad_xuyilx DistilBertForQuestionAnswering from XuYiLX
+author: John Snow Labs
+name: test_squad_xuyilx
+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.`test_squad_xuyilx` is a English model originally trained by XuYiLX.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_squad_xuyilx_en_5.5.0_3.0_1725823305510.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_squad_xuyilx_en_5.5.0_3.0_1725823305510.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_squad_xuyilx|
+|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/XuYiLX/test-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-tner_xlm_roberta_base_ontonotes5_earnings21_non_normalized_and_normalized_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-tner_xlm_roberta_base_ontonotes5_earnings21_non_normalized_and_normalized_pipeline_en.md
new file mode 100644
index 00000000000000..17aff1bfd71a7c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-tner_xlm_roberta_base_ontonotes5_earnings21_non_normalized_and_normalized_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English tner_xlm_roberta_base_ontonotes5_earnings21_non_normalized_and_normalized_pipeline pipeline XlmRoBertaForTokenClassification from anonymoussubmissions
+author: John Snow Labs
+name: tner_xlm_roberta_base_ontonotes5_earnings21_non_normalized_and_normalized_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.`tner_xlm_roberta_base_ontonotes5_earnings21_non_normalized_and_normalized_pipeline` is a English model originally trained by anonymoussubmissions.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tner_xlm_roberta_base_ontonotes5_earnings21_non_normalized_and_normalized_pipeline_en_5.5.0_3.0_1725784741358.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tner_xlm_roberta_base_ontonotes5_earnings21_non_normalized_and_normalized_pipeline_en_5.5.0_3.0_1725784741358.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tner_xlm_roberta_base_ontonotes5_earnings21_non_normalized_and_normalized_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tner_xlm_roberta_base_ontonotes5_earnings21_non_normalized_and_normalized_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tner_xlm_roberta_base_ontonotes5_earnings21_non_normalized_and_normalized_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|859.6 MB|
+
+## References
+
+https://huggingface.co/anonymoussubmissions/tner-xlm-roberta-base-ontonotes5-earnings21-non-normalized-and-normalized
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-tweetcat_en.md b/docs/_posts/ahmedlone127/2024-09-08-tweetcat_en.md
new file mode 100644
index 00000000000000..8ef58249d1da6e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-tweetcat_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English tweetcat RoBertaForSequenceClassification from ivanresh
+author: John Snow Labs
+name: tweetcat
+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.`tweetcat` is a English model originally trained by ivanresh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tweetcat_en_5.5.0_3.0_1725778615206.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tweetcat_en_5.5.0_3.0_1725778615206.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tweetcat|
+|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/ivanresh/TweetCat
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-vaccine_tweet_sentiments_analysis_model_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-vaccine_tweet_sentiments_analysis_model_2_pipeline_en.md
new file mode 100644
index 00000000000000..9ec7c81e97a241
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-vaccine_tweet_sentiments_analysis_model_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English vaccine_tweet_sentiments_analysis_model_2_pipeline pipeline RoBertaForSequenceClassification from Ausbel
+author: John Snow Labs
+name: vaccine_tweet_sentiments_analysis_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 RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`vaccine_tweet_sentiments_analysis_model_2_pipeline` is a English model originally trained by Ausbel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/vaccine_tweet_sentiments_analysis_model_2_pipeline_en_5.5.0_3.0_1725829681996.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/vaccine_tweet_sentiments_analysis_model_2_pipeline_en_5.5.0_3.0_1725829681996.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("vaccine_tweet_sentiments_analysis_model_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("vaccine_tweet_sentiments_analysis_model_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|vaccine_tweet_sentiments_analysis_model_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.2 MB|
+
+## References
+
+https://huggingface.co/Ausbel/Vaccine-tweet-sentiments-analysis-model-2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-xlm_roberta_base_finetuned_panx_all_penguinman73_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-xlm_roberta_base_finetuned_panx_all_penguinman73_pipeline_en.md
new file mode 100644
index 00000000000000..fa6c6ac67320f1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-xlm_roberta_base_finetuned_panx_all_penguinman73_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_all_penguinman73_pipeline pipeline XlmRoBertaForTokenClassification from penguinman73
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_all_penguinman73_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_all_penguinman73_pipeline` is a English model originally trained by penguinman73.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_penguinman73_pipeline_en_5.5.0_3.0_1725807464700.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_penguinman73_pipeline_en_5.5.0_3.0_1725807464700.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_penguinman73_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_all_penguinman73_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_all_penguinman73_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|848.0 MB|
+
+## References
+
+https://huggingface.co/penguinman73/xlm-roberta-base-finetuned-panx-all
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-xlm_roberta_base_finetuned_panx_french_jjglilleberg_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-08-xlm_roberta_base_finetuned_panx_french_jjglilleberg_pipeline_en.md
new file mode 100644
index 00000000000000..fa2c8a0743b91f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-xlm_roberta_base_finetuned_panx_french_jjglilleberg_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_jjglilleberg_pipeline pipeline XlmRoBertaForTokenClassification from jjglilleberg
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_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_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_french_jjglilleberg_pipeline_en_5.5.0_3.0_1725805915302.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_jjglilleberg_pipeline_en_5.5.0_3.0_1725805915302.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_jjglilleberg_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_jjglilleberg_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_jjglilleberg_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|827.9 MB|
+
+## References
+
+https://huggingface.co/jjglilleberg/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_huangjia_en.md b/docs/_posts/ahmedlone127/2024-09-08-xlm_roberta_base_finetuned_panx_german_french_huangjia_en.md
new file mode 100644
index 00000000000000..131a3c49daa786
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-xlm_roberta_base_finetuned_panx_german_french_huangjia_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_huangjia XlmRoBertaForTokenClassification from huangjia
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_huangjia
+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_german_french_huangjia` is a English model originally trained by huangjia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_huangjia_en_5.5.0_3.0_1725784879881.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_huangjia_en_5.5.0_3.0_1725784879881.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_huangjia|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|857.0 MB|
+
+## References
+
+https://huggingface.co/huangjia/xlm-roberta-base-finetuned-panx-de-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-xlm_roberta_base_finetuned_panx_italian_mj03_en.md b/docs/_posts/ahmedlone127/2024-09-08-xlm_roberta_base_finetuned_panx_italian_mj03_en.md
new file mode 100644
index 00000000000000..dfc03a2605eff1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-xlm_roberta_base_finetuned_panx_italian_mj03_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_italian_mj03 XlmRoBertaForTokenClassification from MJ03
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_italian_mj03
+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_italian_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_italian_mj03_en_5.5.0_3.0_1725785504359.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_mj03_en_5.5.0_3.0_1725785504359.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_mj03|
+|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/MJ03/xlm-roberta-base-finetuned-panx-it
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-xlmroberta_ner_pglauner_base_finetuned_panx_pipeline_de.md b/docs/_posts/ahmedlone127/2024-09-08-xlmroberta_ner_pglauner_base_finetuned_panx_pipeline_de.md
new file mode 100644
index 00000000000000..4482d03df3256b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-xlmroberta_ner_pglauner_base_finetuned_panx_pipeline_de.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: German xlmroberta_ner_pglauner_base_finetuned_panx_pipeline pipeline XlmRoBertaForTokenClassification from pglauner
+author: John Snow Labs
+name: xlmroberta_ner_pglauner_base_finetuned_panx_pipeline
+date: 2024-09-08
+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_pglauner_base_finetuned_panx_pipeline` is a German model originally trained by pglauner.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlmroberta_ner_pglauner_base_finetuned_panx_pipeline_de_5.5.0_3.0_1725807663141.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlmroberta_ner_pglauner_base_finetuned_panx_pipeline_de_5.5.0_3.0_1725807663141.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlmroberta_ner_pglauner_base_finetuned_panx_pipeline", lang = "de")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlmroberta_ner_pglauner_base_finetuned_panx_pipeline", lang = "de")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlmroberta_ner_pglauner_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/pglauner/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-08-your_model_name_en.md b/docs/_posts/ahmedlone127/2024-09-08-your_model_name_en.md
new file mode 100644
index 00000000000000..4f7c062c8ee6b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-08-your_model_name_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English your_model_name DistilBertEmbeddings from SangwooJ
+author: John Snow Labs
+name: your_model_name
+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.`your_model_name` is a English model originally trained by SangwooJ.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/your_model_name_en_5.5.0_3.0_1725828688266.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/your_model_name_en_5.5.0_3.0_1725828688266.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|2020_q1_90p_filtered|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|465.1 MB|
+
+## References
+
+https://huggingface.co/DouglasPontes/2020-Q1-90p-filtered
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-albert_persian_farsi_base_v2_clf_digimag_fa.md b/docs/_posts/ahmedlone127/2024-09-09-albert_persian_farsi_base_v2_clf_digimag_fa.md
new file mode 100644
index 00000000000000..50417936227be0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-albert_persian_farsi_base_v2_clf_digimag_fa.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Persian albert_persian_farsi_base_v2_clf_digimag AlbertForSequenceClassification from m3hrdadfi
+author: John Snow Labs
+name: albert_persian_farsi_base_v2_clf_digimag
+date: 2024-09-09
+tags: [fa, open_source, onnx, sequence_classification, albert]
+task: Text Classification
+language: fa
+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_persian_farsi_base_v2_clf_digimag` is a Persian model originally trained by m3hrdadfi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_persian_farsi_base_v2_clf_digimag_fa_5.5.0_3.0_1725889138230.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_persian_farsi_base_v2_clf_digimag_fa_5.5.0_3.0_1725889138230.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_persian_farsi_base_v2_clf_digimag|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|fa|
+|Size:|68.6 MB|
+
+## References
+
+https://huggingface.co/m3hrdadfi/albert-fa-base-v2-clf-digimag
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-all_mpnet_base_v2_bioasq_1epoc_batch32_100_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-all_mpnet_base_v2_bioasq_1epoc_batch32_100_pipeline_en.md
new file mode 100644
index 00000000000000..81e09a83a7c903
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-all_mpnet_base_v2_bioasq_1epoc_batch32_100_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English all_mpnet_base_v2_bioasq_1epoc_batch32_100_pipeline pipeline MPNetEmbeddings from juanpablomesa
+author: John Snow Labs
+name: all_mpnet_base_v2_bioasq_1epoc_batch32_100_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_bioasq_1epoc_batch32_100_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_1epoc_batch32_100_pipeline_en_5.5.0_3.0_1725897153640.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_mpnet_base_v2_bioasq_1epoc_batch32_100_pipeline_en_5.5.0_3.0_1725897153640.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_1epoc_batch32_100_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("all_mpnet_base_v2_bioasq_1epoc_batch32_100_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_mpnet_base_v2_bioasq_1epoc_batch32_100_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-1epoc-batch32-100
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-all_mpnet_base_v2_celanese_test_nepal_bhasa_en.md b/docs/_posts/ahmedlone127/2024-09-09-all_mpnet_base_v2_celanese_test_nepal_bhasa_en.md
new file mode 100644
index 00000000000000..c7dbf6580c0492
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-all_mpnet_base_v2_celanese_test_nepal_bhasa_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English all_mpnet_base_v2_celanese_test_nepal_bhasa MPNetEmbeddings from testCelUR
+author: John Snow Labs
+name: all_mpnet_base_v2_celanese_test_nepal_bhasa
+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_celanese_test_nepal_bhasa` is a English model originally trained by testCelUR.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_mpnet_base_v2_celanese_test_nepal_bhasa_en_5.5.0_3.0_1725874707366.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_mpnet_base_v2_celanese_test_nepal_bhasa_en_5.5.0_3.0_1725874707366.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_celanese_test_nepal_bhasa|
+|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/testCelUR/all-mpnet-base-v2-celanese_test_new
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-angela_diacritics_untranslated_eval_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-angela_diacritics_untranslated_eval_pipeline_en.md
new file mode 100644
index 00000000000000..0a4d6cae9424c8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-angela_diacritics_untranslated_eval_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English angela_diacritics_untranslated_eval_pipeline pipeline XlmRoBertaForTokenClassification from azhang1212
+author: John Snow Labs
+name: angela_diacritics_untranslated_eval_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.`angela_diacritics_untranslated_eval_pipeline` is a English model originally trained by azhang1212.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/angela_diacritics_untranslated_eval_pipeline_en_5.5.0_3.0_1725922741832.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/angela_diacritics_untranslated_eval_pipeline_en_5.5.0_3.0_1725922741832.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("angela_diacritics_untranslated_eval_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("angela_diacritics_untranslated_eval_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|angela_diacritics_untranslated_eval_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/azhang1212/angela_diacritics_untranslated_eval
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-arabic2_en.md b/docs/_posts/ahmedlone127/2024-09-09-arabic2_en.md
new file mode 100644
index 00000000000000..71bc08acedc971
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-arabic2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English arabic2 MarianTransformer from PontifexMaximus
+author: John Snow Labs
+name: arabic2
+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.`arabic2` is a English model originally trained by PontifexMaximus.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/arabic2_en_5.5.0_3.0_1725891681715.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/arabic2_en_5.5.0_3.0_1725891681715.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_squad_sabrinah|
+|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/sabrinah/BERT-SQuAD
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-best_model_yelp_polarity_64_42_en.md b/docs/_posts/ahmedlone127/2024-09-09-best_model_yelp_polarity_64_42_en.md
new file mode 100644
index 00000000000000..a46602caabe06a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-best_model_yelp_polarity_64_42_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English best_model_yelp_polarity_64_42 AlbertForSequenceClassification from simonycl
+author: John Snow Labs
+name: best_model_yelp_polarity_64_42
+date: 2024-09-09
+tags: [en, open_source, onnx, sequence_classification, albert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: AlbertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`best_model_yelp_polarity_64_42` is a English model originally trained by simonycl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/best_model_yelp_polarity_64_42_en_5.5.0_3.0_1725924138729.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/best_model_yelp_polarity_64_42_en_5.5.0_3.0_1725924138729.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bge_base_financial_matryoshka_dpokhrel|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[bge]|
+|Language:|en|
+|Size:|387.2 MB|
+
+## References
+
+https://huggingface.co/dpokhrel/bge-base-financial-matryoshka
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-bislama_all_bs160_allneg_finetuned_webnlg2020_data_coverage_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-bislama_all_bs160_allneg_finetuned_webnlg2020_data_coverage_pipeline_en.md
new file mode 100644
index 00000000000000..575e890d05dc00
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-bislama_all_bs160_allneg_finetuned_webnlg2020_data_coverage_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bislama_all_bs160_allneg_finetuned_webnlg2020_data_coverage_pipeline pipeline MPNetEmbeddings from teven
+author: John Snow Labs
+name: bislama_all_bs160_allneg_finetuned_webnlg2020_data_coverage_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.`bislama_all_bs160_allneg_finetuned_webnlg2020_data_coverage_pipeline` is a English model originally trained by teven.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bislama_all_bs160_allneg_finetuned_webnlg2020_data_coverage_pipeline_en_5.5.0_3.0_1725874553223.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bislama_all_bs160_allneg_finetuned_webnlg2020_data_coverage_pipeline_en_5.5.0_3.0_1725874553223.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bislama_all_bs160_allneg_finetuned_webnlg2020_data_coverage_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bislama_all_bs160_allneg_finetuned_webnlg2020_data_coverage_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bislama_all_bs160_allneg_finetuned_webnlg2020_data_coverage_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/bi_all_bs160_allneg_finetuned_WebNLG2020_data_coverage
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-bool_en.md b/docs/_posts/ahmedlone127/2024-09-09-bool_en.md
new file mode 100644
index 00000000000000..09655b51d63624
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-bool_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bool BertForSequenceClassification from Mahmoud3899
+author: John Snow Labs
+name: bool
+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.`bool` is a English model originally trained by Mahmoud3899.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bool_en_5.5.0_3.0_1725900571854.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bool_en_5.5.0_3.0_1725900571854.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_ashch|
+|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/ashch/my_awesome_qa_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-burmese_awesome_qa_model_vhung_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-burmese_awesome_qa_model_vhung_pipeline_en.md
new file mode 100644
index 00000000000000..360616ceaf5b64
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-burmese_awesome_qa_model_vhung_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_vhung_pipeline pipeline DistilBertForQuestionAnswering from VHung
+author: John Snow Labs
+name: burmese_awesome_qa_model_vhung_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_vhung_pipeline` is a English model originally trained by VHung.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_vhung_pipeline_en_5.5.0_3.0_1725892741508.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_vhung_pipeline_en_5.5.0_3.0_1725892741508.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_vhung_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_qa_model_vhung_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_vhung_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/VHung/my_awesome_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-chai_deberta_v3_base_reward_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-chai_deberta_v3_base_reward_model_pipeline_en.md
new file mode 100644
index 00000000000000..50bd40e58dbfe4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-chai_deberta_v3_base_reward_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English chai_deberta_v3_base_reward_model_pipeline pipeline DeBertaForSequenceClassification from decem
+author: John Snow Labs
+name: chai_deberta_v3_base_reward_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 DeBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`chai_deberta_v3_base_reward_model_pipeline` 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_pipeline_en_5.5.0_3.0_1725859853854.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_pipeline_en_5.5.0_3.0_1725859853854.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("chai_deberta_v3_base_reward_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("chai_deberta_v3_base_reward_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|chai_deberta_v3_base_reward_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|634.4 MB|
+
+## References
+
+https://huggingface.co/decem/chai-deberta-v3-base-reward-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DeBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-chai_reward_deberta_classifier_en.md b/docs/_posts/ahmedlone127/2024-09-09-chai_reward_deberta_classifier_en.md
new file mode 100644
index 00000000000000..83d0be50e4e34a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-chai_reward_deberta_classifier_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English chai_reward_deberta_classifier DeBertaForSequenceClassification from hflserdaniel
+author: John Snow Labs
+name: chai_reward_deberta_classifier
+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_reward_deberta_classifier` is a English model originally trained by hflserdaniel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/chai_reward_deberta_classifier_en_5.5.0_3.0_1725849716737.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/chai_reward_deberta_classifier_en_5.5.0_3.0_1725849716737.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|chai_reward_deberta_classifier|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|634.2 MB|
+
+## References
+
+https://huggingface.co/hflserdaniel/chai_reward_deberta_classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-coha1850s_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-coha1850s_pipeline_en.md
new file mode 100644
index 00000000000000..63a2424ccc197a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-coha1850s_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English coha1850s_pipeline pipeline RoBertaEmbeddings from simonmun
+author: John Snow Labs
+name: coha1850s_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.`coha1850s_pipeline` is a English model originally trained by simonmun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/coha1850s_pipeline_en_5.5.0_3.0_1725926007193.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/coha1850s_pipeline_en_5.5.0_3.0_1725926007193.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("coha1850s_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("coha1850s_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|coha1850s_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|312.2 MB|
+
+## References
+
+https://huggingface.co/simonmun/COHA1850s
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-cold_fusion_itr12_seed2_en.md b/docs/_posts/ahmedlone127/2024-09-09-cold_fusion_itr12_seed2_en.md
new file mode 100644
index 00000000000000..558e70ed0e915b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-cold_fusion_itr12_seed2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English cold_fusion_itr12_seed2 RoBertaForSequenceClassification from ibm
+author: John Snow Labs
+name: cold_fusion_itr12_seed2
+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_itr12_seed2` is a English model originally trained by ibm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cold_fusion_itr12_seed2_en_5.5.0_3.0_1725920339934.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cold_fusion_itr12_seed2_en_5.5.0_3.0_1725920339934.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_itr12_seed2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|467.9 MB|
+
+## References
+
+https://huggingface.co/ibm/ColD-Fusion-itr12-seed2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-cold_fusion_itr12_seed2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-cold_fusion_itr12_seed2_pipeline_en.md
new file mode 100644
index 00000000000000..4859a5ff7703b8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-cold_fusion_itr12_seed2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English cold_fusion_itr12_seed2_pipeline pipeline RoBertaForSequenceClassification from ibm
+author: John Snow Labs
+name: cold_fusion_itr12_seed2_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.`cold_fusion_itr12_seed2_pipeline` is a English model originally trained by ibm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cold_fusion_itr12_seed2_pipeline_en_5.5.0_3.0_1725920363445.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cold_fusion_itr12_seed2_pipeline_en_5.5.0_3.0_1725920363445.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cold_fusion_itr12_seed2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cold_fusion_itr12_seed2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cold_fusion_itr12_seed2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|467.9 MB|
+
+## References
+
+https://huggingface.co/ibm/ColD-Fusion-itr12-seed2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-deberta_disaster_tweet_recognizer_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-deberta_disaster_tweet_recognizer_pipeline_en.md
new file mode 100644
index 00000000000000..e4bb0034459300
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-deberta_disaster_tweet_recognizer_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English deberta_disaster_tweet_recognizer_pipeline pipeline DeBertaForSequenceClassification from onegoodlad
+author: John Snow Labs
+name: deberta_disaster_tweet_recognizer_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_disaster_tweet_recognizer_pipeline` is a English model originally trained by onegoodlad.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deberta_disaster_tweet_recognizer_pipeline_en_5.5.0_3.0_1725859594367.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_disaster_tweet_recognizer_pipeline_en_5.5.0_3.0_1725859594367.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("deberta_disaster_tweet_recognizer_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("deberta_disaster_tweet_recognizer_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deberta_disaster_tweet_recognizer_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.5 GB|
+
+## References
+
+https://huggingface.co/onegoodlad/deberta-disaster-tweet-recognizer
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DeBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-deberta_v3_base_4bit_64rank_backbone_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-deberta_v3_base_4bit_64rank_backbone_pipeline_en.md
new file mode 100644
index 00000000000000..0b08dbf29fb88d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-deberta_v3_base_4bit_64rank_backbone_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English deberta_v3_base_4bit_64rank_backbone_pipeline pipeline DeBertaForSequenceClassification from yxli2123
+author: John Snow Labs
+name: deberta_v3_base_4bit_64rank_backbone_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_4bit_64rank_backbone_pipeline` 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_pipeline_en_5.5.0_3.0_1725859611807.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_pipeline_en_5.5.0_3.0_1725859611807.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("deberta_v3_base_4bit_64rank_backbone_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("deberta_v3_base_4bit_64rank_backbone_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deberta_v3_base_4bit_64rank_backbone_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|689.9 MB|
+
+## References
+
+https://huggingface.co/yxli2123/deberta-v3-base-4bit-64rank-backbone
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DeBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-debertaemotionbalanced_en.md b/docs/_posts/ahmedlone127/2024-09-09-debertaemotionbalanced_en.md
new file mode 100644
index 00000000000000..f44aff5200a710
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-debertaemotionbalanced_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English debertaemotionbalanced DeBertaForSequenceClassification from aliciiavs
+author: John Snow Labs
+name: debertaemotionbalanced
+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.`debertaemotionbalanced` is a English model originally trained by aliciiavs.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/debertaemotionbalanced_en_5.5.0_3.0_1725859749248.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/debertaemotionbalanced_en_5.5.0_3.0_1725859749248.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|debertaemotionbalanced|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|433.7 MB|
+
+## References
+
+https://huggingface.co/aliciiavs/debertaemotionbalanced
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-distilbert_akabot_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-distilbert_akabot_pipeline_en.md
new file mode 100644
index 00000000000000..8495ed662b7cf3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-distilbert_akabot_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_akabot_pipeline pipeline DistilBertForQuestionAnswering from avisena
+author: John Snow Labs
+name: distilbert_akabot_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_akabot_pipeline` is a English model originally trained by avisena.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_akabot_pipeline_en_5.5.0_3.0_1725869128782.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_akabot_pipeline_en_5.5.0_3.0_1725869128782.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_akabot_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_akabot_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_akabot_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/avisena/distilbert_akabot
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_emotion_saneryi_en.md b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_emotion_saneryi_en.md
new file mode 100644
index 00000000000000..50f3950d401ddb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_emotion_saneryi_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_saneryi DistilBertForSequenceClassification from Saneryi
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_saneryi
+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_base_uncased_finetuned_emotion_saneryi` is a English model originally trained by Saneryi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_saneryi_en_5.5.0_3.0_1725873455455.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_saneryi_en_5.5.0_3.0_1725873455455.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_lifan_z|
+|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/Lifan-Z/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_bluspark_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_imdb_bluspark_pipeline_en.md
new file mode 100644
index 00000000000000..4fc3b1ba3890f4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_imdb_bluspark_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_bluspark_pipeline pipeline DistilBertEmbeddings from bluspark
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_bluspark_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_bluspark_pipeline` is a English model originally trained by bluspark.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_bluspark_pipeline_en_5.5.0_3.0_1725878232253.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_bluspark_pipeline_en_5.5.0_3.0_1725878232253.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_bluspark_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_imdb_bluspark_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_imdb_bluspark_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/bluspark/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_hachiiiii_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_imdb_hachiiiii_pipeline_en.md
new file mode 100644
index 00000000000000..21076d232e1b73
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_imdb_hachiiiii_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_hachiiiii_pipeline pipeline DistilBertEmbeddings from hachiiiii
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_hachiiiii_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_hachiiiii_pipeline` is a English model originally trained by hachiiiii.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_hachiiiii_pipeline_en_5.5.0_3.0_1725921712003.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_hachiiiii_pipeline_en_5.5.0_3.0_1725921712003.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_hachiiiii_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_imdb_hachiiiii_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_imdb_hachiiiii_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/hachiiiii/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_ramification_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_imdb_ramification_pipeline_en.md
new file mode 100644
index 00000000000000..2d0acfe7957024
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_imdb_ramification_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_ramification_pipeline pipeline DistilBertEmbeddings from ramification
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_ramification_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_ramification_pipeline` is a English model originally trained by ramification.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_ramification_pipeline_en_5.5.0_3.0_1725909455943.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_ramification_pipeline_en_5.5.0_3.0_1725909455943.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_ramification_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_imdb_ramification_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_imdb_ramification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/ramification/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_vonewman_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_imdb_vonewman_pipeline_en.md
new file mode 100644
index 00000000000000..7abeae538c4629
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_imdb_vonewman_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_vonewman_pipeline pipeline DistilBertEmbeddings from vonewman
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_vonewman_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_vonewman_pipeline` is a English model originally trained by vonewman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_vonewman_pipeline_en_5.5.0_3.0_1725905879833.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_vonewman_pipeline_en_5.5.0_3.0_1725905879833.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_vonewman_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_imdb_vonewman_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_imdb_vonewman_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/vonewman/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_ner_sudheer55_en.md b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_ner_sudheer55_en.md
new file mode 100644
index 00000000000000..24ff827df52fa9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-distilbert_base_uncased_finetuned_ner_sudheer55_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_ner_sudheer55 DistilBertForTokenClassification from Sudheer55
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_ner_sudheer55
+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_finetuned_ner_sudheer55` is a English model originally trained by Sudheer55.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_sudheer55_en_5.5.0_3.0_1725889773204.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_ner_sudheer55_en_5.5.0_3.0_1725889773204.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_pre_training_complete|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[distilbert]|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_sa_pre-training-complete
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-distilbert_uncased_names_accelerate_en.md b/docs/_posts/ahmedlone127/2024-09-09-distilbert_uncased_names_accelerate_en.md
new file mode 100644
index 00000000000000..534ef6ee00b4a5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-distilbert_uncased_names_accelerate_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_uncased_names_accelerate DistilBertForTokenClassification from jackfriedson
+author: John Snow Labs
+name: distilbert_uncased_names_accelerate
+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_uncased_names_accelerate` is a English model originally trained by jackfriedson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_uncased_names_accelerate_en_5.5.0_3.0_1725889970584.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_uncased_names_accelerate_en_5.5.0_3.0_1725889970584.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_uncased_names_accelerate|
+|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/jackfriedson/distilbert-uncased-names-accelerate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-electra_embeddings_delectra_generator_pipeline_ko.md b/docs/_posts/ahmedlone127/2024-09-09-electra_embeddings_delectra_generator_pipeline_ko.md
new file mode 100644
index 00000000000000..05de7826a506a5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-electra_embeddings_delectra_generator_pipeline_ko.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Korean electra_embeddings_delectra_generator_pipeline pipeline BertEmbeddings from deeq
+author: John Snow Labs
+name: electra_embeddings_delectra_generator_pipeline
+date: 2024-09-09
+tags: [ko, open_source, pipeline, onnx]
+task: Embeddings
+language: ko
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`electra_embeddings_delectra_generator_pipeline` is a Korean model originally trained by deeq.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/electra_embeddings_delectra_generator_pipeline_ko_5.5.0_3.0_1725882284679.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/electra_embeddings_delectra_generator_pipeline_ko_5.5.0_3.0_1725882284679.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("electra_embeddings_delectra_generator_pipeline", lang = "ko")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("electra_embeddings_delectra_generator_pipeline", lang = "ko")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|electra_embeddings_delectra_generator_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ko|
+|Size:|138.7 MB|
+
+## References
+
+https://huggingface.co/deeq/delectra-generator
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-english_coptic_multiple_languages_norm_group_greekified_en.md b/docs/_posts/ahmedlone127/2024-09-09-english_coptic_multiple_languages_norm_group_greekified_en.md
new file mode 100644
index 00000000000000..0fdc52200f0073
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-english_coptic_multiple_languages_norm_group_greekified_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English english_coptic_multiple_languages_norm_group_greekified MarianTransformer from megalaa
+author: John Snow Labs
+name: english_coptic_multiple_languages_norm_group_greekified
+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.`english_coptic_multiple_languages_norm_group_greekified` is a English model originally trained by megalaa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/english_coptic_multiple_languages_norm_group_greekified_en_5.5.0_3.0_1725863606635.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/english_coptic_multiple_languages_norm_group_greekified_en_5.5.0_3.0_1725863606635.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|english_coptic_multiple_languages_norm_group_greekified|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|530.3 MB|
+
+## References
+
+https://huggingface.co/megalaa/en-cop-mul-norm-group-greekified
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-english_tonga_tonga_islands_romanian_en.md b/docs/_posts/ahmedlone127/2024-09-09-english_tonga_tonga_islands_romanian_en.md
new file mode 100644
index 00000000000000..a09b0550950484
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-english_tonga_tonga_islands_romanian_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English english_tonga_tonga_islands_romanian MarianTransformer from sanjeev498
+author: John Snow Labs
+name: english_tonga_tonga_islands_romanian
+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.`english_tonga_tonga_islands_romanian` 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_en_5.5.0_3.0_1725864317461.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/english_tonga_tonga_islands_romanian_en_5.5.0_3.0_1725864317461.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|english_tonga_tonga_islands_romanian|
+|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/sanjeev498/en-to-romanian
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-esberto_small_en.md b/docs/_posts/ahmedlone127/2024-09-09-esberto_small_en.md
new file mode 100644
index 00000000000000..a2bdfd6e8129f0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-esberto_small_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English esberto_small RoBertaEmbeddings from sgugger
+author: John Snow Labs
+name: esberto_small
+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.`esberto_small` is a English model originally trained by sgugger.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/esberto_small_en_5.5.0_3.0_1725925218927.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/esberto_small_en_5.5.0_3.0_1725925218927.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|esberto_small|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|311.3 MB|
+
+## References
+
+https://huggingface.co/sgugger/esberto-small
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-f_roberta_classifier2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-f_roberta_classifier2_pipeline_en.md
new file mode 100644
index 00000000000000..c83479d1ed39d6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-f_roberta_classifier2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English f_roberta_classifier2_pipeline pipeline RoBertaForSequenceClassification from James-kc-min
+author: John Snow Labs
+name: f_roberta_classifier2_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.`f_roberta_classifier2_pipeline` 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_pipeline_en_5.5.0_3.0_1725911319934.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/f_roberta_classifier2_pipeline_en_5.5.0_3.0_1725911319934.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("f_roberta_classifier2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("f_roberta_classifier2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|f_roberta_classifier2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|309.1 MB|
+
+## References
+
+https://huggingface.co/James-kc-min/F_Roberta_classifier2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-facility_maint_albert_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-facility_maint_albert_model_pipeline_en.md
new file mode 100644
index 00000000000000..bd2faf0cdbda70
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-facility_maint_albert_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English facility_maint_albert_model_pipeline pipeline AlbertForSequenceClassification from Akash24
+author: John Snow Labs
+name: facility_maint_albert_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 AlbertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`facility_maint_albert_model_pipeline` is a English model originally trained by Akash24.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/facility_maint_albert_model_pipeline_en_5.5.0_3.0_1725901323606.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/facility_maint_albert_model_pipeline_en_5.5.0_3.0_1725901323606.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("facility_maint_albert_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("facility_maint_albert_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|facility_maint_albert_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|44.3 MB|
+
+## References
+
+https://huggingface.co/Akash24/facility_maint_albert_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- AlbertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-finetuned_mixed6_3epochs_en.md b/docs/_posts/ahmedlone127/2024-09-09-finetuned_mixed6_3epochs_en.md
new file mode 100644
index 00000000000000..3e1ba03629c390
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-finetuned_mixed6_3epochs_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English finetuned_mixed6_3epochs MPNetEmbeddings from jhsmith
+author: John Snow Labs
+name: finetuned_mixed6_3epochs
+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.`finetuned_mixed6_3epochs` is a English model originally trained by jhsmith.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_mixed6_3epochs_en_5.5.0_3.0_1725874208871.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_mixed6_3epochs_en_5.5.0_3.0_1725874208871.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_mixed6_3epochs|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[mpnet]|
+|Language:|en|
+|Size:|407.4 MB|
+
+## References
+
+https://huggingface.co/jhsmith/finetuned_mixed6_3epochs
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-hensinki_english_spanish_finetuned_spanish_tonga_tonga_islands_english_tateoba_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-hensinki_english_spanish_finetuned_spanish_tonga_tonga_islands_english_tateoba_pipeline_en.md
new file mode 100644
index 00000000000000..815ee9d4c94328
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-hensinki_english_spanish_finetuned_spanish_tonga_tonga_islands_english_tateoba_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English hensinki_english_spanish_finetuned_spanish_tonga_tonga_islands_english_tateoba_pipeline pipeline MarianTransformer from beanslmao
+author: John Snow Labs
+name: hensinki_english_spanish_finetuned_spanish_tonga_tonga_islands_english_tateoba_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.`hensinki_english_spanish_finetuned_spanish_tonga_tonga_islands_english_tateoba_pipeline` is a English model originally trained by beanslmao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hensinki_english_spanish_finetuned_spanish_tonga_tonga_islands_english_tateoba_pipeline_en_5.5.0_3.0_1725840141124.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hensinki_english_spanish_finetuned_spanish_tonga_tonga_islands_english_tateoba_pipeline_en_5.5.0_3.0_1725840141124.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hensinki_english_spanish_finetuned_spanish_tonga_tonga_islands_english_tateoba_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hensinki_english_spanish_finetuned_spanish_tonga_tonga_islands_english_tateoba_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hensinki_english_spanish_finetuned_spanish_tonga_tonga_islands_english_tateoba_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|540.3 MB|
+
+## References
+
+https://huggingface.co/beanslmao/hensinki-en-es-finetuned-spanish-to-english-tateoba
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-indic_bert_finetuned_legal_try_with_more_data_en.md b/docs/_posts/ahmedlone127/2024-09-09-indic_bert_finetuned_legal_try_with_more_data_en.md
new file mode 100644
index 00000000000000..a21e427fae6bf9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-indic_bert_finetuned_legal_try_with_more_data_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English indic_bert_finetuned_legal_try_with_more_data AlbertForSequenceClassification from PoptropicaSahil
+author: John Snow Labs
+name: indic_bert_finetuned_legal_try_with_more_data
+date: 2024-09-09
+tags: [en, open_source, onnx, sequence_classification, albert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: AlbertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`indic_bert_finetuned_legal_try_with_more_data` is a English model originally trained by PoptropicaSahil.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/indic_bert_finetuned_legal_try_with_more_data_en_5.5.0_3.0_1725924811759.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/indic_bert_finetuned_legal_try_with_more_data_en_5.5.0_3.0_1725924811759.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_cwd4_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-cwd4-en-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-jerteh_355_pipeline_sr.md b/docs/_posts/ahmedlone127/2024-09-09-jerteh_355_pipeline_sr.md
new file mode 100644
index 00000000000000..95632b932c586b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-jerteh_355_pipeline_sr.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Serbian jerteh_355_pipeline pipeline RoBertaEmbeddings from jerteh
+author: John Snow Labs
+name: jerteh_355_pipeline
+date: 2024-09-09
+tags: [sr, open_source, pipeline, onnx]
+task: Embeddings
+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 RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`jerteh_355_pipeline` is a Serbian model originally trained by jerteh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/jerteh_355_pipeline_sr_5.5.0_3.0_1725910826242.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/jerteh_355_pipeline_sr_5.5.0_3.0_1725910826242.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("jerteh_355_pipeline", lang = "sr")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("jerteh_355_pipeline", lang = "sr")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|jerteh_355_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|sr|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/jerteh/Jerteh-355
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-keyword_finetuned_embedding_en.md b/docs/_posts/ahmedlone127/2024-09-09-keyword_finetuned_embedding_en.md
new file mode 100644
index 00000000000000..51df66e9d823e0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-keyword_finetuned_embedding_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English keyword_finetuned_embedding MPNetEmbeddings from jinquan122
+author: John Snow Labs
+name: keyword_finetuned_embedding
+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.`keyword_finetuned_embedding` is a English model originally trained by jinquan122.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/keyword_finetuned_embedding_en_5.5.0_3.0_1725897368504.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/keyword_finetuned_embedding_en_5.5.0_3.0_1725897368504.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|keyword_finetuned_embedding|
+|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/jinquan122/keyword_finetuned_embedding
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-lab1_random_reshphil_en.md b/docs/_posts/ahmedlone127/2024-09-09-lab1_random_reshphil_en.md
new file mode 100644
index 00000000000000..f865b50fce994f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-lab1_random_reshphil_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English lab1_random_reshphil MarianTransformer from Reshphil
+author: John Snow Labs
+name: lab1_random_reshphil
+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.`lab1_random_reshphil` is a English model originally trained by Reshphil.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lab1_random_reshphil_en_5.5.0_3.0_1725914219686.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lab1_random_reshphil_en_5.5.0_3.0_1725914219686.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lab1_random_reshphil|
+|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/Reshphil/lab1_random
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-legal_swiss_roberta_base_pipeline_de.md b/docs/_posts/ahmedlone127/2024-09-09-legal_swiss_roberta_base_pipeline_de.md
new file mode 100644
index 00000000000000..cfea3deec9c165
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-legal_swiss_roberta_base_pipeline_de.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: German legal_swiss_roberta_base_pipeline pipeline RoBertaEmbeddings from joelniklaus
+author: John Snow Labs
+name: legal_swiss_roberta_base_pipeline
+date: 2024-09-09
+tags: [de, open_source, pipeline, onnx]
+task: Embeddings
+language: de
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`legal_swiss_roberta_base_pipeline` is a German model originally trained by joelniklaus.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/legal_swiss_roberta_base_pipeline_de_5.5.0_3.0_1725884662156.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/legal_swiss_roberta_base_pipeline_de_5.5.0_3.0_1725884662156.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("legal_swiss_roberta_base_pipeline", lang = "de")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("legal_swiss_roberta_base_pipeline", lang = "de")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|legal_swiss_roberta_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|de|
+|Size:|692.1 MB|
+
+## References
+
+https://huggingface.co/joelniklaus/legal-swiss-roberta-base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-local_distilbert_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-local_distilbert_model_pipeline_en.md
new file mode 100644
index 00000000000000..5fd63a6bac4e6a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-local_distilbert_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English local_distilbert_model_pipeline pipeline DistilBertForTokenClassification from senthil2002
+author: John Snow Labs
+name: local_distilbert_model_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 DistilBertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`local_distilbert_model_pipeline` is a English model originally trained by senthil2002.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/local_distilbert_model_pipeline_en_5.5.0_3.0_1725890013514.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/local_distilbert_model_pipeline_en_5.5.0_3.0_1725890013514.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("local_distilbert_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("local_distilbert_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|local_distilbert_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/senthil2002/local_distilbert_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-maltese_coref_english_arabic_gender_exp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-maltese_coref_english_arabic_gender_exp_pipeline_en.md
new file mode 100644
index 00000000000000..214bfd3e8fa03a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-maltese_coref_english_arabic_gender_exp_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English maltese_coref_english_arabic_gender_exp_pipeline pipeline MarianTransformer from nlphuji
+author: John Snow Labs
+name: maltese_coref_english_arabic_gender_exp_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_arabic_gender_exp_pipeline` is a English model originally trained by nlphuji.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/maltese_coref_english_arabic_gender_exp_pipeline_en_5.5.0_3.0_1725865409099.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/maltese_coref_english_arabic_gender_exp_pipeline_en_5.5.0_3.0_1725865409099.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("maltese_coref_english_arabic_gender_exp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("maltese_coref_english_arabic_gender_exp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|maltese_coref_english_arabic_gender_exp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|529.2 MB|
+
+## References
+
+https://huggingface.co/nlphuji/mt_coref_en_ar_gender_exp
+
+## 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_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-marian_finetuned_kde4_english_tonga_tonga_islands_french_ss1020_pipeline_en.md
new file mode 100644
index 00000000000000..289d5ff48426a0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-marian_finetuned_kde4_english_tonga_tonga_islands_french_ss1020_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_ss1020_pipeline pipeline MarianTransformer from SS1020
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_ss1020_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_ss1020_pipeline` 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_pipeline_en_5.5.0_3.0_1725913423222.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_pipeline_en_5.5.0_3.0_1725913423222.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_ss1020_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_french_ss1020_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marian_finetuned_kde4_english_tonga_tonga_islands_french_ss1020_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|508.6 MB|
+
+## References
+
+https://huggingface.co/SS1020/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-ope_bert_v1_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-ope_bert_v1_2_pipeline_en.md
new file mode 100644
index 00000000000000..db2b2da0c2ba77
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-ope_bert_v1_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ope_bert_v1_2_pipeline pipeline DistilBertEmbeddings from RyotaroOKabe
+author: John Snow Labs
+name: ope_bert_v1_2_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.`ope_bert_v1_2_pipeline` is a English model originally trained by RyotaroOKabe.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ope_bert_v1_2_pipeline_en_5.5.0_3.0_1725868415150.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ope_bert_v1_2_pipeline_en_5.5.0_3.0_1725868415150.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ope_bert_v1_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ope_bert_v1_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ope_bert_v1_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/RyotaroOKabe/ope_bert_v1.2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_arabic_finetuned_english_tonga_tonga_islands_arabic_test2_instances_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_arabic_finetuned_english_tonga_tonga_islands_arabic_test2_instances_pipeline_en.md
new file mode 100644
index 00000000000000..9bd91e52a5fcd3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_arabic_finetuned_english_tonga_tonga_islands_arabic_test2_instances_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_english_arabic_finetuned_english_tonga_tonga_islands_arabic_test2_instances_pipeline pipeline MarianTransformer from meghazisofiane
+author: John Snow Labs
+name: opus_maltese_english_arabic_finetuned_english_tonga_tonga_islands_arabic_test2_instances_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_arabic_finetuned_english_tonga_tonga_islands_arabic_test2_instances_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_finetuned_english_tonga_tonga_islands_arabic_test2_instances_pipeline_en_5.5.0_3.0_1725864837091.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_arabic_finetuned_english_tonga_tonga_islands_arabic_test2_instances_pipeline_en_5.5.0_3.0_1725864837091.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_finetuned_english_tonga_tonga_islands_arabic_test2_instances_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_english_arabic_finetuned_english_tonga_tonga_islands_arabic_test2_instances_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_arabic_finetuned_english_tonga_tonga_islands_arabic_test2_instances_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|528.8 MB|
+
+## References
+
+https://huggingface.co/meghazisofiane/opus-mt-en-ar-finetuned-en-to-ar-test2-instances
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_dutch_finetuned_combined_38_train_val_en.md b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_dutch_finetuned_combined_38_train_val_en.md
new file mode 100644
index 00000000000000..1b33e9cf79a3ca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_dutch_finetuned_combined_38_train_val_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_english_dutch_finetuned_combined_38_train_val MarianTransformer from kalcho100
+author: John Snow Labs
+name: opus_maltese_english_dutch_finetuned_combined_38_train_val
+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_dutch_finetuned_combined_38_train_val` is a English model originally trained by kalcho100.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_dutch_finetuned_combined_38_train_val_en_5.5.0_3.0_1725913408194.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_dutch_finetuned_combined_38_train_val_en_5.5.0_3.0_1725913408194.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_dutch_finetuned_combined_38_train_val|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|548.8 MB|
+
+## References
+
+https://huggingface.co/kalcho100/opus-mt-en-nl-finetuned_combined_38_train_val
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_dutch_finetuned_combined_38_train_val_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_dutch_finetuned_combined_38_train_val_pipeline_en.md
new file mode 100644
index 00000000000000..1e8b1b6cdb612b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_dutch_finetuned_combined_38_train_val_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_english_dutch_finetuned_combined_38_train_val_pipeline pipeline MarianTransformer from kalcho100
+author: John Snow Labs
+name: opus_maltese_english_dutch_finetuned_combined_38_train_val_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_dutch_finetuned_combined_38_train_val_pipeline` is a English model originally trained by kalcho100.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_dutch_finetuned_combined_38_train_val_pipeline_en_5.5.0_3.0_1725913436964.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_dutch_finetuned_combined_38_train_val_pipeline_en_5.5.0_3.0_1725913436964.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_english_dutch_finetuned_combined_38_train_val_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_english_dutch_finetuned_combined_38_train_val_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_dutch_finetuned_combined_38_train_val_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|549.4 MB|
+
+## References
+
+https://huggingface.co/kalcho100/opus-mt-en-nl-finetuned_combined_38_train_val
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_german_bds_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_german_bds_pipeline_en.md
new file mode 100644
index 00000000000000..13cc0b5e0caeb9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_german_bds_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_english_german_bds_pipeline pipeline MarianTransformer from Anhptp
+author: John Snow Labs
+name: opus_maltese_english_german_bds_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_german_bds_pipeline` is a English model originally trained by Anhptp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_german_bds_pipeline_en_5.5.0_3.0_1725840298146.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_german_bds_pipeline_en_5.5.0_3.0_1725840298146.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_english_german_bds_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_english_german_bds_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_german_bds_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|500.0 MB|
+
+## References
+
+https://huggingface.co/Anhptp/opus-mt-en-de-BDS
+
+## 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_dlyfar_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_dlyfar_pipeline_en.md
new file mode 100644
index 00000000000000..b02a7638e63245
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_dlyfar_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_dlyfar_pipeline pipeline MarianTransformer from dlyfar
+author: John Snow Labs
+name: opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_dlyfar_pipeline
+date: 2024-09-09
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_dlyfar_pipeline` 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_pipeline_en_5.5.0_3.0_1725891362439.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_pipeline_en_5.5.0_3.0_1725891362439.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_dlyfar_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_dlyfar_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_dlyfar_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|509.1 MB|
+
+## References
+
+https://huggingface.co/dlyfar/opus-mt-en-ro-finetuned-en-to-ro
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_finetuned_english_tonga_tonga_islands_romanian_en.md b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_finetuned_english_tonga_tonga_islands_romanian_en.md
new file mode 100644
index 00000000000000..5177aa342ae7f8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_finetuned_english_tonga_tonga_islands_romanian_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_finetuned_english_tonga_tonga_islands_romanian MarianTransformer from MicMer17
+author: John Snow Labs
+name: opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_finetuned_english_tonga_tonga_islands_romanian
+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_finetuned_english_tonga_tonga_islands_romanian` is a English model originally trained by MicMer17.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_finetuned_english_tonga_tonga_islands_romanian_en_5.5.0_3.0_1725914183652.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_finetuned_english_tonga_tonga_islands_romanian_en_5.5.0_3.0_1725914183652.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_finetuned_english_tonga_tonga_islands_romanian|
+|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/MicMer17/opus-mt-en-ro-finetuned-en-to-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_shuvayanti_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_shuvayanti_pipeline_en.md
new file mode 100644
index 00000000000000..f452d160567ed4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_shuvayanti_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_shuvayanti_pipeline pipeline MarianTransformer from shuvayanti
+author: John Snow Labs
+name: opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_shuvayanti_pipeline
+date: 2024-09-09
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_shuvayanti_pipeline` is a English model originally trained by shuvayanti.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_shuvayanti_pipeline_en_5.5.0_3.0_1725864908698.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_shuvayanti_pipeline_en_5.5.0_3.0_1725864908698.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_shuvayanti_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_shuvayanti_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_shuvayanti_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|509.1 MB|
+
+## References
+
+https://huggingface.co/shuvayanti/opus-mt-en-ro-finetuned-en-to-ro
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_southern_sotho_en.md b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_southern_sotho_en.md
new file mode 100644
index 00000000000000..aedd3d4dcf5b4f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_english_southern_sotho_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_english_southern_sotho MarianTransformer from cw1521
+author: John Snow Labs
+name: opus_maltese_english_southern_sotho
+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_southern_sotho` is a English model originally trained by cw1521.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_southern_sotho_en_5.5.0_3.0_1725891253151.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_southern_sotho_en_5.5.0_3.0_1725891253151.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_southern_sotho|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|508.3 MB|
+
+## References
+
+https://huggingface.co/cw1521/opus-mt-en-st
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_finetuned_english_spanish_en.md b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_finetuned_english_spanish_en.md
new file mode 100644
index 00000000000000..2ac4a3f490524d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_finetuned_english_spanish_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_finetuned_english_spanish MarianTransformer from rossanez
+author: John Snow Labs
+name: opus_maltese_finetuned_english_spanish
+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_finetuned_english_spanish` is a English model originally trained by rossanez.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_finetuned_english_spanish_en_5.5.0_3.0_1725864703618.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_finetuned_english_spanish_en_5.5.0_3.0_1725864703618.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_finetuned_english_spanish|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|540.0 MB|
+
+## References
+
+https://huggingface.co/rossanez/opus-mt-finetuned-en-es
\ 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_en.md b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_italian_english_finetuned_20000_italian_tonga_tonga_islands_english_en.md
new file mode 100644
index 00000000000000..7fb5e46395b4f0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_italian_english_finetuned_20000_italian_tonga_tonga_islands_english_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_italian_english_finetuned_20000_italian_tonga_tonga_islands_english MarianTransformer from VFiona
+author: John Snow Labs
+name: opus_maltese_italian_english_finetuned_20000_italian_tonga_tonga_islands_english
+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_italian_english_finetuned_20000_italian_tonga_tonga_islands_english` 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_en_5.5.0_3.0_1725913842897.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_en_5.5.0_3.0_1725913842897.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_italian_english_finetuned_20000_italian_tonga_tonga_islands_english|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|625.0 MB|
+
+## References
+
+https://huggingface.co/VFiona/opus-mt-it-en-finetuned_20000-it-to-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_turkish_tonga_tonga_islands_english_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_turkish_tonga_tonga_islands_english_pipeline_en.md
new file mode 100644
index 00000000000000..79bfba39af0fad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-opus_maltese_turkish_tonga_tonga_islands_english_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_turkish_tonga_tonga_islands_english_pipeline pipeline MarianTransformer from ckartal
+author: John Snow Labs
+name: opus_maltese_turkish_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_turkish_tonga_tonga_islands_english_pipeline` is a English model originally trained by ckartal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_turkish_tonga_tonga_islands_english_pipeline_en_5.5.0_3.0_1725863788513.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_turkish_tonga_tonga_islands_english_pipeline_en_5.5.0_3.0_1725863788513.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_turkish_tonga_tonga_islands_english_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_turkish_tonga_tonga_islands_english_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_turkish_tonga_tonga_islands_english_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|525.8 MB|
+
+## References
+
+https://huggingface.co/ckartal/opus-mt-tr-to-en
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-output_sotseth_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-output_sotseth_pipeline_en.md
new file mode 100644
index 00000000000000..a4d4d7b750455c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-output_sotseth_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English output_sotseth_pipeline pipeline RoBertaForSequenceClassification from sotseth
+author: John Snow Labs
+name: output_sotseth_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.`output_sotseth_pipeline` is a English model originally trained by sotseth.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/output_sotseth_pipeline_en_5.5.0_3.0_1725903854473.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/output_sotseth_pipeline_en_5.5.0_3.0_1725903854473.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("output_sotseth_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("output_sotseth_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|output_sotseth_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/sotseth/output
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-q2d_origin_re_5_en.md b/docs/_posts/ahmedlone127/2024-09-09-q2d_origin_re_5_en.md
new file mode 100644
index 00000000000000..22b3baeb87af63
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-q2d_origin_re_5_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English q2d_origin_re_5 MPNetEmbeddings from ingeol
+author: John Snow Labs
+name: q2d_origin_re_5
+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.`q2d_origin_re_5` is a English model originally trained by ingeol.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/q2d_origin_re_5_en_5.5.0_3.0_1725897099342.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/q2d_origin_re_5_en_5.5.0_3.0_1725897099342.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|q2d_origin_re_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/q2d_origin_re_5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-q2d_orire_5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-q2d_orire_5_pipeline_en.md
new file mode 100644
index 00000000000000..a0e6b3b82e3462
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-q2d_orire_5_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English q2d_orire_5_pipeline pipeline MPNetEmbeddings from ingeol
+author: John Snow Labs
+name: q2d_orire_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_orire_5_pipeline` is a English model originally trained by ingeol.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/q2d_orire_5_pipeline_en_5.5.0_3.0_1725896583705.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/q2d_orire_5_pipeline_en_5.5.0_3.0_1725896583705.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("q2d_orire_5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("q2d_orire_5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|q2d_orire_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_orire_5
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-q2d_re_5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-q2d_re_5_pipeline_en.md
new file mode 100644
index 00000000000000..94192aa7aae418
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-q2d_re_5_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English q2d_re_5_pipeline pipeline MPNetEmbeddings from ingeol
+author: John Snow Labs
+name: q2d_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_re_5_pipeline` is a English model originally trained by ingeol.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/q2d_re_5_pipeline_en_5.5.0_3.0_1725874146451.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/q2d_re_5_pipeline_en_5.5.0_3.0_1725874146451.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("q2d_re_5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("q2d_re_5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|q2d_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_re_5
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-qqp_microsoft_deberta_v3_large_seed_2_en.md b/docs/_posts/ahmedlone127/2024-09-09-qqp_microsoft_deberta_v3_large_seed_2_en.md
new file mode 100644
index 00000000000000..393aad4d225c65
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-qqp_microsoft_deberta_v3_large_seed_2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English qqp_microsoft_deberta_v3_large_seed_2 DeBertaForSequenceClassification from utahnlp
+author: John Snow Labs
+name: qqp_microsoft_deberta_v3_large_seed_2
+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.`qqp_microsoft_deberta_v3_large_seed_2` is a English model originally trained by utahnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/qqp_microsoft_deberta_v3_large_seed_2_en_5.5.0_3.0_1725880372833.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/qqp_microsoft_deberta_v3_large_seed_2_en_5.5.0_3.0_1725880372833.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_catalan_v2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|ca|
+|Size:|295.1 MB|
+
+## References
+
+https://huggingface.co/projecte-aina/roberta-base-ca-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-roberta_reman_en.md b/docs/_posts/ahmedlone127/2024-09-09-roberta_reman_en.md
new file mode 100644
index 00000000000000..daa1bc52ccc1b6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-roberta_reman_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_reman RoBertaForSequenceClassification from gustavecortal
+author: John Snow Labs
+name: roberta_reman
+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_reman` is a English model originally trained by gustavecortal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_reman_en_5.5.0_3.0_1725911841889.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_reman_en_5.5.0_3.0_1725911841889.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_reman|
+|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/gustavecortal/roberta_reman
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-southern_sotho_all_mpnet_finetuned_english_1000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-southern_sotho_all_mpnet_finetuned_english_1000_pipeline_en.md
new file mode 100644
index 00000000000000..e85ec579f182f8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-southern_sotho_all_mpnet_finetuned_english_1000_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English southern_sotho_all_mpnet_finetuned_english_1000_pipeline pipeline MPNetEmbeddings from danfeg
+author: John Snow Labs
+name: southern_sotho_all_mpnet_finetuned_english_1000_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_english_1000_pipeline` is a English model originally trained by danfeg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/southern_sotho_all_mpnet_finetuned_english_1000_pipeline_en_5.5.0_3.0_1725897005304.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/southern_sotho_all_mpnet_finetuned_english_1000_pipeline_en_5.5.0_3.0_1725897005304.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("southern_sotho_all_mpnet_finetuned_english_1000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("southern_sotho_all_mpnet_finetuned_english_1000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|southern_sotho_all_mpnet_finetuned_english_1000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/danfeg/ST-ALL-MPNET_Finetuned-EN-1000
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-tatoeba_finetuned_en.md b/docs/_posts/ahmedlone127/2024-09-09-tatoeba_finetuned_en.md
new file mode 100644
index 00000000000000..4524074f22c455
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-tatoeba_finetuned_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English tatoeba_finetuned MarianTransformer from muibk
+author: John Snow Labs
+name: tatoeba_finetuned
+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.`tatoeba_finetuned` is a English model originally trained by muibk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tatoeba_finetuned_en_5.5.0_3.0_1725865032066.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tatoeba_finetuned_en_5.5.0_3.0_1725865032066.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|training_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
+
+References
+
+https://huggingface.co/Brecon/training_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-training_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-training_model_pipeline_en.md
new file mode 100644
index 00000000000000..a4ada19e146402
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-training_model_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English training_model_pipeline pipeline DistilBertForQuestionAnswering from lwq1010
+author: John Snow Labs
+name: training_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 DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`training_model_pipeline` is a English model originally trained by lwq1010.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/training_model_pipeline_en_5.5.0_3.0_1725869255869.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/training_model_pipeline_en_5.5.0_3.0_1725869255869.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("training_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("training_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|training_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/lwq1010/training_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-translation_eng_ger_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-translation_eng_ger_pipeline_en.md
new file mode 100644
index 00000000000000..d5421bd49366dd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-translation_eng_ger_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English translation_eng_ger_pipeline pipeline MarianTransformer from perceptron-743
+author: John Snow Labs
+name: translation_eng_ger_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_eng_ger_pipeline` is a English model originally trained by perceptron-743.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/translation_eng_ger_pipeline_en_5.5.0_3.0_1725840648475.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/translation_eng_ger_pipeline_en_5.5.0_3.0_1725840648475.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("translation_eng_ger_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("translation_eng_ger_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|translation_eng_ger_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|499.8 MB|
+
+## References
+
+https://huggingface.co/perceptron-743/translation-eng-ger
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_balance_vietnam_aug_replace_bert_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_balance_vietnam_aug_replace_bert_en.md
new file mode 100644
index 00000000000000..449a4745da17c3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_balance_vietnam_aug_replace_bert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_balance_vietnam_aug_replace_bert XlmRoBertaForSequenceClassification from ThuyNT03
+author: John Snow Labs
+name: xlm_roberta_base_balance_vietnam_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_balance_vietnam_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_balance_vietnam_aug_replace_bert_en_5.5.0_3.0_1725871303946.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_balance_vietnam_aug_replace_bert_en_5.5.0_3.0_1725871303946.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_balance_vietnam_aug_replace_bert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|794.6 MB|
+
+## References
+
+https://huggingface.co/ThuyNT03/xlm-roberta-base-Balance_VietNam-aug_replace_BERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_marc_begar_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_marc_begar_pipeline_en.md
new file mode 100644
index 00000000000000..0e0268c788a98e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_marc_begar_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_marc_begar_pipeline pipeline XlmRoBertaForSequenceClassification from begar
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_marc_begar_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_finetuned_marc_begar_pipeline` 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_pipeline_en_5.5.0_3.0_1725907650139.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_pipeline_en_5.5.0_3.0_1725907650139.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_finetuned_marc_begar_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_marc_begar_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_marc_begar_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|835.1 MB|
+
+## References
+
+https://huggingface.co/begar/xlm-roberta-base-finetuned-marc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_all_yezune_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_all_yezune_en.md
new file mode 100644
index 00000000000000..19eaa7eb7f47ed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_all_yezune_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_all_yezune XlmRoBertaForTokenClassification from yezune
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_all_yezune
+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_yezune` 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_all_yezune_en_5.5.0_3.0_1725922811018.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_yezune_en_5.5.0_3.0_1725922811018.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_yezune|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|861.0 MB|
+
+## References
+
+https://huggingface.co/yezune/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_english_the_neural_networker_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_english_the_neural_networker_en.md
new file mode 100644
index 00000000000000..dd10ad0f06cf42
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_english_the_neural_networker_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_the_neural_networker XlmRoBertaForTokenClassification from the-neural-networker
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_the_neural_networker
+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_english_the_neural_networker` 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_en_5.5.0_3.0_1725895352985.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_en_5.5.0_3.0_1725895352985.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_the_neural_networker|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|836.4 MB|
+
+## References
+
+https://huggingface.co/the-neural-networker/xlm-roberta-base-finetuned-panx-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_french_noveled_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_french_noveled_en.md
new file mode 100644
index 00000000000000..407239a176c355
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_french_noveled_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_noveled XlmRoBertaForTokenClassification from Noveled
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_noveled
+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_noveled` 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_french_noveled_en_5.5.0_3.0_1725919151928.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_noveled_en_5.5.0_3.0_1725919151928.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_noveled|
+|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/Noveled/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_italian_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_italian_en.md
new file mode 100644
index 00000000000000..b5b879631c60d3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_italian_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_italian XlmRoBertaForTokenClassification from Ferro
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_italian
+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_italian` 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_en_5.5.0_3.0_1725923102592.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_en_5.5.0_3.0_1725923102592.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_italian|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|856.7 MB|
+
+## References
+
+https://huggingface.co/Ferro/xlm-roberta-base-finetuned-panx-de-it
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_nes74_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_nes74_en.md
new file mode 100644
index 00000000000000..0e1b63f50ba6d4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_german_nes74_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_nes74 XlmRoBertaForTokenClassification from nes74
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_nes74
+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_nes74` is a English model originally trained by nes74.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_nes74_en_5.5.0_3.0_1725919160199.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_nes74_en_5.5.0_3.0_1725919160199.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_nes74|
+|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/nes74/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_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_italian_buruzaemon_en.md
new file mode 100644
index 00000000000000..7eb6b32e9d1a68
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_italian_buruzaemon_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_italian_buruzaemon XlmRoBertaForTokenClassification from buruzaemon
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_italian_buruzaemon
+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_buruzaemon` 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_en_5.5.0_3.0_1725894869773.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_en_5.5.0_3.0_1725894869773.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_buruzaemon|
+|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/buruzaemon/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_robkayinto_en.md b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_italian_robkayinto_en.md
new file mode 100644
index 00000000000000..64510e41f0b28a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-09-xlm_roberta_base_finetuned_panx_italian_robkayinto_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_italian_robkayinto XlmRoBertaForTokenClassification from robkayinto
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_italian_robkayinto
+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_robkayinto` is a English model originally trained by robkayinto.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_robkayinto_en_5.5.0_3.0_1725918785058.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_robkayinto_en_5.5.0_3.0_1725918785058.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_robkayinto|
+|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/robkayinto/xlm-roberta-base-finetuned-panx-it
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-all_mpnet_base_v2_fine_tuned_epochs_1_binhcode25_finetuned_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-all_mpnet_base_v2_fine_tuned_epochs_1_binhcode25_finetuned_pipeline_en.md
new file mode 100644
index 00000000000000..c0176a229cb4ee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-all_mpnet_base_v2_fine_tuned_epochs_1_binhcode25_finetuned_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English all_mpnet_base_v2_fine_tuned_epochs_1_binhcode25_finetuned_pipeline pipeline MPNetEmbeddings from binhcode25-finetuned
+author: John Snow Labs
+name: all_mpnet_base_v2_fine_tuned_epochs_1_binhcode25_finetuned_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_v2_fine_tuned_epochs_1_binhcode25_finetuned_pipeline` is a English model originally trained by binhcode25-finetuned.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_mpnet_base_v2_fine_tuned_epochs_1_binhcode25_finetuned_pipeline_en_5.5.0_3.0_1725936391676.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_finetuned_pipeline_en_5.5.0_3.0_1725936391676.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_1_binhcode25_finetuned_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("all_mpnet_base_v2_fine_tuned_epochs_1_binhcode25_finetuned_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_mpnet_base_v2_fine_tuned_epochs_1_binhcode25_finetuned_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-finetuned/all-mpnet-base-v2-fine-tuned-epochs-1
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-all_mpnet_base_v2_lr_2e_7_margin_1_epoch_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-all_mpnet_base_v2_lr_2e_7_margin_1_epoch_1_pipeline_en.md
new file mode 100644
index 00000000000000..1977d89aebf2ab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-all_mpnet_base_v2_lr_2e_7_margin_1_epoch_1_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English all_mpnet_base_v2_lr_2e_7_margin_1_epoch_1_pipeline pipeline MPNetEmbeddings from luiz-and-robert-thesis
+author: John Snow Labs
+name: all_mpnet_base_v2_lr_2e_7_margin_1_epoch_1_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_v2_lr_2e_7_margin_1_epoch_1_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_v2_lr_2e_7_margin_1_epoch_1_pipeline_en_5.5.0_3.0_1725969880667.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_mpnet_base_v2_lr_2e_7_margin_1_epoch_1_pipeline_en_5.5.0_3.0_1725969880667.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_lr_2e_7_margin_1_epoch_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("all_mpnet_base_v2_lr_2e_7_margin_1_epoch_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_mpnet_base_v2_lr_2e_7_margin_1_epoch_1_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-v2-lr-2e-7-margin-1-epoch-1
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-all_mpnet_base_v2_sts_tomaarsen_en.md b/docs/_posts/ahmedlone127/2024-09-10-all_mpnet_base_v2_sts_tomaarsen_en.md
new file mode 100644
index 00000000000000..84cb3c84cc16c3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-all_mpnet_base_v2_sts_tomaarsen_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English all_mpnet_base_v2_sts_tomaarsen MPNetEmbeddings from tomaarsen
+author: John Snow Labs
+name: all_mpnet_base_v2_sts_tomaarsen
+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_sts_tomaarsen` is a English model originally trained by tomaarsen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_mpnet_base_v2_sts_tomaarsen_en_5.5.0_3.0_1725995228728.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_mpnet_base_v2_sts_tomaarsen_en_5.5.0_3.0_1725995228728.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_tomaarsen|
+|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/tomaarsen/all-mpnet-base-v2-sts
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-all_mpnet_base_v2_warmup_cosine_margin_1_epoch_1_en.md b/docs/_posts/ahmedlone127/2024-09-10-all_mpnet_base_v2_warmup_cosine_margin_1_epoch_1_en.md
new file mode 100644
index 00000000000000..693d75c2a02b39
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-all_mpnet_base_v2_warmup_cosine_margin_1_epoch_1_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English all_mpnet_base_v2_warmup_cosine_margin_1_epoch_1 MPNetEmbeddings from luiz-and-robert-thesis
+author: John Snow Labs
+name: all_mpnet_base_v2_warmup_cosine_margin_1_epoch_1
+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_warmup_cosine_margin_1_epoch_1` 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_warmup_cosine_margin_1_epoch_1_en_5.5.0_3.0_1725994928033.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_mpnet_base_v2_warmup_cosine_margin_1_epoch_1_en_5.5.0_3.0_1725994928033.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_warmup_cosine_margin_1_epoch_1|
+|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-warmup-cosine-margin-1-epoch-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-autonlp_predict_roi_1_29797730_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-autonlp_predict_roi_1_29797730_pipeline_en.md
new file mode 100644
index 00000000000000..1623d8364c3df4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-autonlp_predict_roi_1_29797730_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English autonlp_predict_roi_1_29797730_pipeline pipeline RoBertaForSequenceClassification from ds198799
+author: John Snow Labs
+name: autonlp_predict_roi_1_29797730_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.`autonlp_predict_roi_1_29797730_pipeline` 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_pipeline_en_5.5.0_3.0_1725965883641.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autonlp_predict_roi_1_29797730_pipeline_en_5.5.0_3.0_1725965883641.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("autonlp_predict_roi_1_29797730_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("autonlp_predict_roi_1_29797730_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autonlp_predict_roi_1_29797730_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|424.2 MB|
+
+## References
+
+https://huggingface.co/ds198799/autonlp-predict_ROI_1-29797730
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-babyberta_aochildes_french_without_masking_finetuned_run1_french_squad_en.md b/docs/_posts/ahmedlone127/2024-09-10-babyberta_aochildes_french_without_masking_finetuned_run1_french_squad_en.md
new file mode 100644
index 00000000000000..c1e45337dffd4e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-babyberta_aochildes_french_without_masking_finetuned_run1_french_squad_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English babyberta_aochildes_french_without_masking_finetuned_run1_french_squad RoBertaForQuestionAnswering from lielbin
+author: John Snow Labs
+name: babyberta_aochildes_french_without_masking_finetuned_run1_french_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_without_masking_finetuned_run1_french_squad` is a English model originally trained by lielbin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/babyberta_aochildes_french_without_masking_finetuned_run1_french_squad_en_5.5.0_3.0_1725987617310.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/babyberta_aochildes_french_without_masking_finetuned_run1_french_squad_en_5.5.0_3.0_1725987617310.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bengali_abusive_muril|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|bn|
+|Size:|892.6 MB|
+
+## References
+
+https://huggingface.co/Hate-speech-CNERG/bengali-abusive-MuRIL
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-bert_base_uncased_ftd_on_glue_stsb_iter_5_en.md b/docs/_posts/ahmedlone127/2024-09-10-bert_base_uncased_ftd_on_glue_stsb_iter_5_en.md
new file mode 100644
index 00000000000000..598686aa5049ed
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-bert_base_uncased_ftd_on_glue_stsb_iter_5_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_ftd_on_glue_stsb_iter_5 BertForSequenceClassification from Ibrahim-Alam
+author: John Snow Labs
+name: bert_base_uncased_ftd_on_glue_stsb_iter_5
+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_stsb_iter_5` 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_stsb_iter_5_en_5.5.0_3.0_1725957468615.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_stsb_iter_5_en_5.5.0_3.0_1725957468615.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_ftd_on_glue_stsb_iter_5|
+|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/Ibrahim-Alam/bert-base-uncased_FTd_on_glue-stsb_iter-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-biobert_maelstrom_cleaned_en.md b/docs/_posts/ahmedlone127/2024-09-10-biobert_maelstrom_cleaned_en.md
new file mode 100644
index 00000000000000..ff3109ad8cec5b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-biobert_maelstrom_cleaned_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English biobert_maelstrom_cleaned BertForSequenceClassification from JuSas
+author: John Snow Labs
+name: biobert_maelstrom_cleaned
+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.`biobert_maelstrom_cleaned` is a English model originally trained by JuSas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biobert_maelstrom_cleaned_en_5.5.0_3.0_1726000007624.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biobert_maelstrom_cleaned_en_5.5.0_3.0_1726000007624.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_josetfm|
+|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/joseTfm/my_awesome_qa_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-burmese_mps_roberta_based_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-burmese_mps_roberta_based_model_pipeline_en.md
new file mode 100644
index 00000000000000..cd42578a0a4a6b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-burmese_mps_roberta_based_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_mps_roberta_based_model_pipeline pipeline RoBertaEmbeddings from MS-Huang0714
+author: John Snow Labs
+name: burmese_mps_roberta_based_model_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_mps_roberta_based_model_pipeline` 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_pipeline_en_5.5.0_3.0_1725930744360.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_mps_roberta_based_model_pipeline_en_5.5.0_3.0_1725930744360.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_mps_roberta_based_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_mps_roberta_based_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_mps_roberta_based_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|465.5 MB|
+
+## References
+
+https://huggingface.co/MS-Huang0714/my-MPS-roberta-based_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-burmese_nepal_bhasa_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-burmese_nepal_bhasa_model_pipeline_en.md
new file mode 100644
index 00000000000000..ddb0272da6c6f1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-burmese_nepal_bhasa_model_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_nepal_bhasa_model_pipeline pipeline MPNetEmbeddings from tubyneto
+author: John Snow Labs
+name: burmese_nepal_bhasa_model_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_nepal_bhasa_model_pipeline` is a English model originally trained by tubyneto.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_nepal_bhasa_model_pipeline_en_5.5.0_3.0_1725936055886.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_nepal_bhasa_model_pipeline_en_5.5.0_3.0_1725936055886.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_nepal_bhasa_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_nepal_bhasa_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_nepal_bhasa_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.8 MB|
+
+## References
+
+https://huggingface.co/tubyneto/my_new_model
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-cross_all_bs160_allneg_finetuned_webnlg2020_relevance_en.md b/docs/_posts/ahmedlone127/2024-09-10-cross_all_bs160_allneg_finetuned_webnlg2020_relevance_en.md
new file mode 100644
index 00000000000000..746f13f073fe22
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-cross_all_bs160_allneg_finetuned_webnlg2020_relevance_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English cross_all_bs160_allneg_finetuned_webnlg2020_relevance MPNetEmbeddings from teven
+author: John Snow Labs
+name: cross_all_bs160_allneg_finetuned_webnlg2020_relevance
+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.`cross_all_bs160_allneg_finetuned_webnlg2020_relevance` is a English model originally trained by teven.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cross_all_bs160_allneg_finetuned_webnlg2020_relevance_en_5.5.0_3.0_1725995299616.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cross_all_bs160_allneg_finetuned_webnlg2020_relevance_en_5.5.0_3.0_1725995299616.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_relevance|
+|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_relevance
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-cross_all_mpnet_base_v2_finetuned_webnlg2017_en.md b/docs/_posts/ahmedlone127/2024-09-10-cross_all_mpnet_base_v2_finetuned_webnlg2017_en.md
new file mode 100644
index 00000000000000..2b34fde95b73f6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-cross_all_mpnet_base_v2_finetuned_webnlg2017_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English cross_all_mpnet_base_v2_finetuned_webnlg2017 MPNetEmbeddings from teven
+author: John Snow Labs
+name: cross_all_mpnet_base_v2_finetuned_webnlg2017
+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.`cross_all_mpnet_base_v2_finetuned_webnlg2017` is a English model originally trained by teven.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cross_all_mpnet_base_v2_finetuned_webnlg2017_en_5.5.0_3.0_1725995412788.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cross_all_mpnet_base_v2_finetuned_webnlg2017_en_5.5.0_3.0_1725995412788.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_mpnet_base_v2_finetuned_webnlg2017|
+|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/teven/cross_all-mpnet-base-v2_finetuned_WebNLG2017
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_fillmask_finetuned_imdb_classifier_nlp_course_chapter7_section2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_fillmask_finetuned_imdb_classifier_nlp_course_chapter7_section2_pipeline_en.md
new file mode 100644
index 00000000000000..ea886b1e556cad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_fillmask_finetuned_imdb_classifier_nlp_course_chapter7_section2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_fillmask_finetuned_imdb_classifier_nlp_course_chapter7_section2_pipeline pipeline DistilBertForSequenceClassification from BanUrsus
+author: John Snow Labs
+name: distilbert_base_uncased_fillmask_finetuned_imdb_classifier_nlp_course_chapter7_section2_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 DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_fillmask_finetuned_imdb_classifier_nlp_course_chapter7_section2_pipeline` is a English model originally trained by BanUrsus.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_fillmask_finetuned_imdb_classifier_nlp_course_chapter7_section2_pipeline_en_5.5.0_3.0_1726009522997.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_fillmask_finetuned_imdb_classifier_nlp_course_chapter7_section2_pipeline_en_5.5.0_3.0_1726009522997.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_fillmask_finetuned_imdb_classifier_nlp_course_chapter7_section2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_fillmask_finetuned_imdb_classifier_nlp_course_chapter7_section2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_fillmask_finetuned_imdb_classifier_nlp_course_chapter7_section2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/BanUrsus/distilbert-base-uncased-fillmask-finetuned-imdb-classifier_nlp-course-chapter7-section2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_emotion_cocabuton_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_emotion_cocabuton_pipeline_en.md
new file mode 100644
index 00000000000000..519ef6174652fe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_emotion_cocabuton_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_cocabuton_pipeline pipeline DistilBertForSequenceClassification from CocaButon
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_cocabuton_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 DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_cocabuton_pipeline` is a English model originally trained by CocaButon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_cocabuton_pipeline_en_5.5.0_3.0_1726009289651.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_cocabuton_pipeline_en_5.5.0_3.0_1726009289651.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_cocabuton_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_cocabuton_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_cocabuton_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/CocaButon/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_emotion_mohamedahmedae_en.md b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_emotion_mohamedahmedae_en.md
new file mode 100644
index 00000000000000..abd14354875f52
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_emotion_mohamedahmedae_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_mohamedahmedae DistilBertForSequenceClassification from MohamedAhmedAE
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_mohamedahmedae
+date: 2024-09-10
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_mohamedahmedae` is a English model originally trained by MohamedAhmedAE.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_mohamedahmedae_en_5.5.0_3.0_1725983514986.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_mohamedahmedae_en_5.5.0_3.0_1725983514986.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_mohamedahmedae|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/MohamedAhmedAE/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_adanish91_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_adanish91_pipeline_en.md
new file mode 100644
index 00000000000000..a3dc89f8f40484
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_imdb_adanish91_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_imdb_adanish91_pipeline pipeline DistilBertEmbeddings from adanish91
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_imdb_adanish91_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_adanish91_pipeline` is a English model originally trained by adanish91.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_adanish91_pipeline_en_5.5.0_3.0_1725994038251.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_imdb_adanish91_pipeline_en_5.5.0_3.0_1725994038251.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_adanish91_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_imdb_adanish91_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_imdb_adanish91_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/adanish91/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_squad_mondol007_en.md b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_squad_mondol007_en.md
new file mode 100644
index 00000000000000..61d722ecc26313
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-distilbert_base_uncased_finetuned_squad_mondol007_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_mondol007 DistilBertForQuestionAnswering from mondol007
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_mondol007
+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_mondol007` is a English model originally trained by mondol007.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_mondol007_en_5.5.0_3.0_1725960465632.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_mondol007_en_5.5.0_3.0_1725960465632.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_mondol007|
+|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/mondol007/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-distilbert_sequence_classifier_distilbert_base_uncased_finetuned_sst_2_english_en.md b/docs/_posts/ahmedlone127/2024-09-10-distilbert_sequence_classifier_distilbert_base_uncased_finetuned_sst_2_english_en.md
new file mode 100644
index 00000000000000..2da447426de2e2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-distilbert_sequence_classifier_distilbert_base_uncased_finetuned_sst_2_english_en.md
@@ -0,0 +1,108 @@
+---
+layout: model
+title: English DistilBertForSequenceClassification Base Uncased model
+author: John Snow Labs
+name: distilbert_sequence_classifier_distilbert_base_uncased_finetuned_sst_2_english
+date: 2024-09-10
+tags: [distilbert, sequence_classification, open_source, en, openvino]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: openvino
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP. `distilbert-base-uncased-finetuned-sst-2-english` is a English model originally trained by HuggingFace.
+
+## Predicted Entities
+
+`POSITIVE`, `NEGATIVE`
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sequence_classifier_distilbert_base_uncased_finetuned_sst_2_english_en_5.5.0_3.0_1725955537990.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sequence_classifier_distilbert_base_uncased_finetuned_sst_2_english_en_5.5.0_3.0_1725955537990.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_ft_sex|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|306.5 MB|
+
+## References
+
+https://huggingface.co/jkruk/distilroberta-base-ft-sex
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-emoji_emoji_temporal_bertweet_large_en.md b/docs/_posts/ahmedlone127/2024-09-10-emoji_emoji_temporal_bertweet_large_en.md
new file mode 100644
index 00000000000000..3df5f45021320c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-emoji_emoji_temporal_bertweet_large_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English emoji_emoji_temporal_bertweet_large RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: emoji_emoji_temporal_bertweet_large
+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.`emoji_emoji_temporal_bertweet_large` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emoji_emoji_temporal_bertweet_large_en_5.5.0_3.0_1725964904546.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emoji_emoji_temporal_bertweet_large_en_5.5.0_3.0_1725964904546.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_temporal_bertweet_large|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tweettemposhift/emoji-emoji_temporal-bertweet-large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-finetuned_maltese_english_swedish_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-finetuned_maltese_english_swedish_pipeline_en.md
new file mode 100644
index 00000000000000..17699f0b6c4183
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-finetuned_maltese_english_swedish_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuned_maltese_english_swedish_pipeline pipeline MarianTransformer from adamnavarro
+author: John Snow Labs
+name: finetuned_maltese_english_swedish_pipeline
+date: 2024-09-10
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_maltese_english_swedish_pipeline` is a English model originally trained by adamnavarro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_maltese_english_swedish_pipeline_en_5.5.0_3.0_1726002322847.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_maltese_english_swedish_pipeline_en_5.5.0_3.0_1726002322847.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuned_maltese_english_swedish_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuned_maltese_english_swedish_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_maltese_english_swedish_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|491.8 MB|
+
+## References
+
+https://huggingface.co/adamnavarro/finetuned-mt-en-sv
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-finetuned_roberta_base_uncased_emotion_8_en.md b/docs/_posts/ahmedlone127/2024-09-10-finetuned_roberta_base_uncased_emotion_8_en.md
new file mode 100644
index 00000000000000..84b41e5ac46f29
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-finetuned_roberta_base_uncased_emotion_8_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuned_roberta_base_uncased_emotion_8 RoBertaForSequenceClassification from StrangeCroissant
+author: John Snow Labs
+name: finetuned_roberta_base_uncased_emotion_8
+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.`finetuned_roberta_base_uncased_emotion_8` is a English model originally trained by StrangeCroissant.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_roberta_base_uncased_emotion_8_en_5.5.0_3.0_1725971006409.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_roberta_base_uncased_emotion_8_en_5.5.0_3.0_1725971006409.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_sts_catalan_mpnet_base|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document]|
+|Output Labels:|[mpnet]|
+|Language:|en|
+|Size:|383.9 MB|
+
+## References
+
+https://huggingface.co/pauhidalgoo/finetuned-sts-ca-mpnet-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-gqa_roberta_german_legal_squad_17_pipeline_de.md b/docs/_posts/ahmedlone127/2024-09-10-gqa_roberta_german_legal_squad_17_pipeline_de.md
new file mode 100644
index 00000000000000..4294095245f75f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-gqa_roberta_german_legal_squad_17_pipeline_de.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: German gqa_roberta_german_legal_squad_17_pipeline pipeline RoBertaForQuestionAnswering from farid1088
+author: John Snow Labs
+name: gqa_roberta_german_legal_squad_17_pipeline
+date: 2024-09-10
+tags: [de, open_source, pipeline, onnx]
+task: Question Answering
+language: de
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`gqa_roberta_german_legal_squad_17_pipeline` is a German model originally trained by farid1088.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gqa_roberta_german_legal_squad_17_pipeline_de_5.5.0_3.0_1725987103475.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gqa_roberta_german_legal_squad_17_pipeline_de_5.5.0_3.0_1725987103475.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("gqa_roberta_german_legal_squad_17_pipeline", lang = "de")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("gqa_roberta_german_legal_squad_17_pipeline", lang = "de")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gqa_roberta_german_legal_squad_17_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|de|
+|Size:|465.8 MB|
+
+## References
+
+https://huggingface.co/farid1088/GQA_RoBERTa_German_legal_SQuAD_17
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-imdb_fewshot_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-imdb_fewshot_pipeline_en.md
new file mode 100644
index 00000000000000..831b5b81df9dda
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-imdb_fewshot_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English imdb_fewshot_pipeline pipeline MPNetEmbeddings from pig4431
+author: John Snow Labs
+name: imdb_fewshot_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.`imdb_fewshot_pipeline` is a English model originally trained by pig4431.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdb_fewshot_pipeline_en_5.5.0_3.0_1725936780315.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdb_fewshot_pipeline_en_5.5.0_3.0_1725936780315.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("imdb_fewshot_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("imdb_fewshot_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|imdb_fewshot_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/pig4431/IMDB_fewshot
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-incremental_semi_supervised_training_base_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-incremental_semi_supervised_training_base_pipeline_en.md
new file mode 100644
index 00000000000000..74f841aed4424b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-incremental_semi_supervised_training_base_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English incremental_semi_supervised_training_base_pipeline pipeline RoBertaForSequenceClassification from bitsanlp
+author: John Snow Labs
+name: incremental_semi_supervised_training_base_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.`incremental_semi_supervised_training_base_pipeline` is a English model originally trained by bitsanlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/incremental_semi_supervised_training_base_pipeline_en_5.5.0_3.0_1725970871405.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/incremental_semi_supervised_training_base_pipeline_en_5.5.0_3.0_1725970871405.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("incremental_semi_supervised_training_base_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("incremental_semi_supervised_training_base_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|incremental_semi_supervised_training_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/bitsanlp/incremental-semi-supervised-training-base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-medpsynit_it.md b/docs/_posts/ahmedlone127/2024-09-10-medpsynit_it.md
new file mode 100644
index 00000000000000..8382bc99e72cb2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-medpsynit_it.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Italian medpsynit BertForTokenClassification from IVN-RIN
+author: John Snow Labs
+name: medpsynit
+date: 2024-09-10
+tags: [it, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: it
+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.`medpsynit` is a Italian model originally trained by IVN-RIN.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/medpsynit_it_5.5.0_3.0_1725934066431.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/medpsynit_it_5.5.0_3.0_1725934066431.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|medpsynit|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|it|
+|Size:|409.2 MB|
+
+## References
+
+https://huggingface.co/IVN-RIN/MedPsyNIT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-multilingual_e5_base_finetuned_cola_pipeline_xx.md b/docs/_posts/ahmedlone127/2024-09-10-multilingual_e5_base_finetuned_cola_pipeline_xx.md
new file mode 100644
index 00000000000000..166b3c0014e0e0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-multilingual_e5_base_finetuned_cola_pipeline_xx.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Multilingual multilingual_e5_base_finetuned_cola_pipeline pipeline XlmRoBertaForSequenceClassification from anhnv125
+author: John Snow Labs
+name: multilingual_e5_base_finetuned_cola_pipeline
+date: 2024-09-10
+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_finetuned_cola_pipeline` is a Multilingual model originally trained by anhnv125.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/multilingual_e5_base_finetuned_cola_pipeline_xx_5.5.0_3.0_1726004210362.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/multilingual_e5_base_finetuned_cola_pipeline_xx_5.5.0_3.0_1726004210362.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("multilingual_e5_base_finetuned_cola_pipeline", lang = "xx")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("multilingual_e5_base_finetuned_cola_pipeline", lang = "xx")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|multilingual_e5_base_finetuned_cola_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|xx|
+|Size:|831.1 MB|
+
+## References
+
+https://huggingface.co/anhnv125/multilingual-e5-base-finetuned-cola
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-nlp_team_binarytoxicityclassifierforevaluationpurpose_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-nlp_team_binarytoxicityclassifierforevaluationpurpose_pipeline_en.md
new file mode 100644
index 00000000000000..a89ac1764846d3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-nlp_team_binarytoxicityclassifierforevaluationpurpose_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English nlp_team_binarytoxicityclassifierforevaluationpurpose_pipeline pipeline RoBertaForSequenceClassification from naman632
+author: John Snow Labs
+name: nlp_team_binarytoxicityclassifierforevaluationpurpose_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.`nlp_team_binarytoxicityclassifierforevaluationpurpose_pipeline` is a English model originally trained by naman632.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nlp_team_binarytoxicityclassifierforevaluationpurpose_pipeline_en_5.5.0_3.0_1725965261978.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nlp_team_binarytoxicityclassifierforevaluationpurpose_pipeline_en_5.5.0_3.0_1725965261978.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nlp_team_binarytoxicityclassifierforevaluationpurpose_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nlp_team_binarytoxicityclassifierforevaluationpurpose_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nlp_team_binarytoxicityclassifierforevaluationpurpose_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.0 MB|
+
+## References
+
+https://huggingface.co/naman632/NLP_team_binaryToxicityClassifierForEvaluationPurpose
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-norwegian_roberta_base_en.md b/docs/_posts/ahmedlone127/2024-09-10-norwegian_roberta_base_en.md
new file mode 100644
index 00000000000000..447f093d5a956d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-norwegian_roberta_base_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English norwegian_roberta_base RoBertaEmbeddings from patrickvonplaten
+author: John Snow Labs
+name: norwegian_roberta_base
+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.`norwegian_roberta_base` is a English model originally trained by patrickvonplaten.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/norwegian_roberta_base_en_5.5.0_3.0_1726005365961.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/norwegian_roberta_base_en_5.5.0_3.0_1726005365961.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ope_bert_v1_1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[distilbert]|
+|Language:|en|
+|Size:|247.6 MB|
+
+## References
+
+https://huggingface.co/RyotaroOKabe/ope_bert_v1.1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_riaraju_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_riaraju_pipeline_en.md
new file mode 100644
index 00000000000000..b04c6075f8b416
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_riaraju_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_riaraju_pipeline pipeline MarianTransformer from riaraju
+author: John Snow Labs
+name: opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_riaraju_pipeline
+date: 2024-09-10
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_riaraju_pipeline` is a English model originally trained by riaraju.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_riaraju_pipeline_en_5.5.0_3.0_1726002120235.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_riaraju_pipeline_en_5.5.0_3.0_1726002120235.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_riaraju_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_riaraju_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_riaraju_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|509.2 MB|
+
+## References
+
+https://huggingface.co/riaraju/opus-mt-en-ro-finetuned-en-to-ro
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-passage_ranker_mango_pipeline_xx.md b/docs/_posts/ahmedlone127/2024-09-10-passage_ranker_mango_pipeline_xx.md
new file mode 100644
index 00000000000000..280facebc8a9da
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-passage_ranker_mango_pipeline_xx.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Multilingual passage_ranker_mango_pipeline pipeline BertForSequenceClassification from sinequa
+author: John Snow Labs
+name: passage_ranker_mango_pipeline
+date: 2024-09-10
+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_mango_pipeline` is a Multilingual model originally trained by sinequa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/passage_ranker_mango_pipeline_xx_5.5.0_3.0_1725977482681.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/passage_ranker_mango_pipeline_xx_5.5.0_3.0_1725977482681.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("passage_ranker_mango_pipeline", lang = "xx")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("passage_ranker_mango_pipeline", lang = "xx")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|passage_ranker_mango_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|xx|
+|Size:|627.8 MB|
+
+## References
+
+https://huggingface.co/sinequa/passage-ranker.mango
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-pls_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-pls_pipeline_en.md
new file mode 100644
index 00000000000000..38600bfcfe9c64
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-pls_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English pls_pipeline pipeline MPNetEmbeddings from Watwat100
+author: John Snow Labs
+name: pls_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.`pls_pipeline` is a English model originally trained by Watwat100.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pls_pipeline_en_5.5.0_3.0_1725964195564.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pls_pipeline_en_5.5.0_3.0_1725964195564.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("pls_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("pls_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pls_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/Watwat100/pls
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-psais_multi_qa_mpnet_base_dot_v1_20shot_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-psais_multi_qa_mpnet_base_dot_v1_20shot_pipeline_en.md
new file mode 100644
index 00000000000000..16b8ab350effb1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-psais_multi_qa_mpnet_base_dot_v1_20shot_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English psais_multi_qa_mpnet_base_dot_v1_20shot_pipeline pipeline MPNetEmbeddings from hroth01
+author: John Snow Labs
+name: psais_multi_qa_mpnet_base_dot_v1_20shot_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.`psais_multi_qa_mpnet_base_dot_v1_20shot_pipeline` is a English model originally trained by hroth01.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/psais_multi_qa_mpnet_base_dot_v1_20shot_pipeline_en_5.5.0_3.0_1725978239484.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_20shot_pipeline_en_5.5.0_3.0_1725978239484.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_20shot_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("psais_multi_qa_mpnet_base_dot_v1_20shot_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|psais_multi_qa_mpnet_base_dot_v1_20shot_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.0 MB|
+
+## References
+
+https://huggingface.co/hroth01/psais-multi-qa-mpnet-base-dot-v1-20shot
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-q2d_half_5_en.md b/docs/_posts/ahmedlone127/2024-09-10-q2d_half_5_en.md
new file mode 100644
index 00000000000000..d61fc9e49dc2f6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-q2d_half_5_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English q2d_half_5 MPNetEmbeddings from ingeol
+author: John Snow Labs
+name: q2d_half_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.`q2d_half_5` is a English model originally trained by ingeol.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/q2d_half_5_en_5.5.0_3.0_1725996895510.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/q2d_half_5_en_5.5.0_3.0_1725996895510.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|q2d_half_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/q2d_half_5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-r2_w266_setfit_mbti_multiclass_hypsearch_mpnet_nov30_en.md b/docs/_posts/ahmedlone127/2024-09-10-r2_w266_setfit_mbti_multiclass_hypsearch_mpnet_nov30_en.md
new file mode 100644
index 00000000000000..ca9223f59c57d4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-r2_w266_setfit_mbti_multiclass_hypsearch_mpnet_nov30_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English r2_w266_setfit_mbti_multiclass_hypsearch_mpnet_nov30 MPNetEmbeddings from shrinivasbjoshi
+author: John Snow Labs
+name: r2_w266_setfit_mbti_multiclass_hypsearch_mpnet_nov30
+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.`r2_w266_setfit_mbti_multiclass_hypsearch_mpnet_nov30` is a English model originally trained by shrinivasbjoshi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/r2_w266_setfit_mbti_multiclass_hypsearch_mpnet_nov30_en_5.5.0_3.0_1725963410303.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/r2_w266_setfit_mbti_multiclass_hypsearch_mpnet_nov30_en_5.5.0_3.0_1725963410303.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_coqa|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|462.6 MB|
+
+## References
+
+https://huggingface.co/WillHeld/roberta-base-coqa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-roberta_qa_cart_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-roberta_qa_cart_pipeline_en.md
new file mode 100644
index 00000000000000..ff35442a52d967
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-roberta_qa_cart_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_qa_cart_pipeline pipeline RoBertaForQuestionAnswering from pierrerappolt
+author: John Snow Labs
+name: roberta_qa_cart_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_qa_cart_pipeline` is a English model originally trained by pierrerappolt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_qa_cart_pipeline_en_5.5.0_3.0_1725987512912.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_qa_cart_pipeline_en_5.5.0_3.0_1725987512912.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_qa_cart_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_qa_cart_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_qa_cart_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|463.8 MB|
+
+## References
+
+https://huggingface.co/pierrerappolt/cart
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-sequence_classification_msivanes_en.md b/docs/_posts/ahmedlone127/2024-09-10-sequence_classification_msivanes_en.md
new file mode 100644
index 00000000000000..bbc6d1db2a756f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-sequence_classification_msivanes_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sequence_classification_msivanes DistilBertForSequenceClassification from msivanes
+author: John Snow Labs
+name: sequence_classification_msivanes
+date: 2024-09-10
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sequence_classification_msivanes` is a English model originally trained by msivanes.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sequence_classification_msivanes_en_5.5.0_3.0_1725983749642.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sequence_classification_msivanes_en_5.5.0_3.0_1725983749642.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_miscellaneous_misinformation|
+|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-Miscellaneous-Misinformation
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-setfit_model_feb11_misinformation_on_govt_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-setfit_model_feb11_misinformation_on_govt_pipeline_en.md
new file mode 100644
index 00000000000000..738b4862a8dba3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-setfit_model_feb11_misinformation_on_govt_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English setfit_model_feb11_misinformation_on_govt_pipeline pipeline MPNetEmbeddings from mitra-mir
+author: John Snow Labs
+name: setfit_model_feb11_misinformation_on_govt_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.`setfit_model_feb11_misinformation_on_govt_pipeline` 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_govt_pipeline_en_5.5.0_3.0_1725969844462.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/setfit_model_feb11_misinformation_on_govt_pipeline_en_5.5.0_3.0_1725969844462.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("setfit_model_feb11_misinformation_on_govt_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("setfit_model_feb11_misinformation_on_govt_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|setfit_model_feb11_misinformation_on_govt_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-Feb11-Misinformation-on-Govt
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-setfit_model_feb11_misinformation_on_mandates_public_health_en.md b/docs/_posts/ahmedlone127/2024-09-10-setfit_model_feb11_misinformation_on_mandates_public_health_en.md
new file mode 100644
index 00000000000000..cdbb2ee21df003
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-setfit_model_feb11_misinformation_on_mandates_public_health_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English setfit_model_feb11_misinformation_on_mandates_public_health MPNetEmbeddings from mitra-mir
+author: John Snow Labs
+name: setfit_model_feb11_misinformation_on_mandates_public_health
+date: 2024-09-10
+tags: [en, open_source, onnx, embeddings, mpnet]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MPNetEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`setfit_model_feb11_misinformation_on_mandates_public_health` 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_mandates_public_health_en_5.5.0_3.0_1725978811803.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/setfit_model_feb11_misinformation_on_mandates_public_health_en_5.5.0_3.0_1725978811803.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_mandates_public_health|
+|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-Mandates-Public-Health
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-setfitrrcrececnr_en.md b/docs/_posts/ahmedlone127/2024-09-10-setfitrrcrececnr_en.md
new file mode 100644
index 00000000000000..92e4f13198ef96
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-setfitrrcrececnr_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English setfitrrcrececnr MPNetEmbeddings from mann2107
+author: John Snow Labs
+name: setfitrrcrececnr
+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.`setfitrrcrececnr` is a English model originally trained by mann2107.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/setfitrrcrececnr_en_5.5.0_3.0_1725995081397.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/setfitrrcrececnr_en_5.5.0_3.0_1725995081397.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|setfitrrcrececnr|
+|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/mann2107/setfitrrcrececnr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-squad_qa_model_harrisonlowe_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-squad_qa_model_harrisonlowe_pipeline_en.md
new file mode 100644
index 00000000000000..c4594f00e9fdd5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-squad_qa_model_harrisonlowe_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English squad_qa_model_harrisonlowe_pipeline pipeline DistilBertForQuestionAnswering from HarrisonLowe
+author: John Snow Labs
+name: squad_qa_model_harrisonlowe_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_harrisonlowe_pipeline` is a English model originally trained by HarrisonLowe.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/squad_qa_model_harrisonlowe_pipeline_en_5.5.0_3.0_1725932349687.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/squad_qa_model_harrisonlowe_pipeline_en_5.5.0_3.0_1725932349687.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("squad_qa_model_harrisonlowe_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("squad_qa_model_harrisonlowe_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|squad_qa_model_harrisonlowe_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/HarrisonLowe/squad_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-sst2_fewshot_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-sst2_fewshot_pipeline_en.md
new file mode 100644
index 00000000000000..c23c8e6f494c20
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-sst2_fewshot_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English sst2_fewshot_pipeline pipeline MPNetEmbeddings from pig4431
+author: John Snow Labs
+name: sst2_fewshot_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.`sst2_fewshot_pipeline` is a English model originally trained by pig4431.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sst2_fewshot_pipeline_en_5.5.0_3.0_1725978525437.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sst2_fewshot_pipeline_en_5.5.0_3.0_1725978525437.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sst2_fewshot_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sst2_fewshot_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sst2_fewshot_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.0 MB|
+
+## References
+
+https://huggingface.co/pig4431/SST2_fewshot
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-task_intent_detector_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-task_intent_detector_pipeline_en.md
new file mode 100644
index 00000000000000..b402239b019df0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-task_intent_detector_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English task_intent_detector_pipeline pipeline RoBertaForSequenceClassification from NOVA-vision-language
+author: John Snow Labs
+name: task_intent_detector_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.`task_intent_detector_pipeline` is a English model originally trained by NOVA-vision-language.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/task_intent_detector_pipeline_en_5.5.0_3.0_1725972073687.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/task_intent_detector_pipeline_en_5.5.0_3.0_1725972073687.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("task_intent_detector_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("task_intent_detector_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|task_intent_detector_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|430.4 MB|
+
+## References
+
+https://huggingface.co/NOVA-vision-language/task-intent-detector
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-test_model_2_en.md b/docs/_posts/ahmedlone127/2024-09-10-test_model_2_en.md
new file mode 100644
index 00000000000000..a10ecbe8ad9214
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-test_model_2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English test_model_2 DistilBertEmbeddings from TamBeo
+author: John Snow Labs
+name: test_model_2
+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.`test_model_2` is a English model originally trained by TamBeo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_model_2_en_5.5.0_3.0_1725935301921.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_model_2_en_5.5.0_3.0_1725935301921.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_model_2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[distilbert]|
+|Language:|en|
+|Size:|247.1 MB|
+
+## References
+
+https://huggingface.co/TamBeo/test_model_2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-test_model_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-test_model_2_pipeline_en.md
new file mode 100644
index 00000000000000..e491d69b9a094c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-test_model_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English test_model_2_pipeline pipeline DistilBertEmbeddings from TamBeo
+author: John Snow Labs
+name: test_model_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 DistilBertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_model_2_pipeline` is a English model originally trained by TamBeo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_model_2_pipeline_en_5.5.0_3.0_1725935313453.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_model_2_pipeline_en_5.5.0_3.0_1725935313453.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("test_model_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("test_model_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_model_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/TamBeo/test_model_2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-testing_final_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-testing_final_pipeline_en.md
new file mode 100644
index 00000000000000..53dc23273c4cab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-testing_final_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English testing_final_pipeline pipeline MPNetEmbeddings from maneprajakta
+author: John Snow Labs
+name: testing_final_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.`testing_final_pipeline` is a English model originally trained by maneprajakta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/testing_final_pipeline_en_5.5.0_3.0_1725936659335.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/testing_final_pipeline_en_5.5.0_3.0_1725936659335.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("testing_final_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("testing_final_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|testing_final_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/testing_final
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-text_classification_model_10042024_en.md b/docs/_posts/ahmedlone127/2024-09-10-text_classification_model_10042024_en.md
new file mode 100644
index 00000000000000..bdf58b60108839
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-text_classification_model_10042024_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English text_classification_model_10042024 DistilBertForSequenceClassification from vishnun0027
+author: John Snow Labs
+name: text_classification_model_10042024
+date: 2024-09-10
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`text_classification_model_10042024` is a English model originally trained by vishnun0027.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/text_classification_model_10042024_en_5.5.0_3.0_1725983742381.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/text_classification_model_10042024_en_5.5.0_3.0_1725983742381.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|text_classification_model_10042024|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/vishnun0027/Text_classification_model_10042024
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-tonga_tonga_islands_classifier_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-tonga_tonga_islands_classifier_v2_pipeline_en.md
new file mode 100644
index 00000000000000..263b9de5e7f2fe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-tonga_tonga_islands_classifier_v2_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English tonga_tonga_islands_classifier_v2_pipeline pipeline MPNetEmbeddings from futuredatascience
+author: John Snow Labs
+name: tonga_tonga_islands_classifier_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.`tonga_tonga_islands_classifier_v2_pipeline` is a English model originally trained by futuredatascience.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tonga_tonga_islands_classifier_v2_pipeline_en_5.5.0_3.0_1725969599068.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tonga_tonga_islands_classifier_v2_pipeline_en_5.5.0_3.0_1725969599068.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tonga_tonga_islands_classifier_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tonga_tonga_islands_classifier_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tonga_tonga_islands_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/to-classifier-v2
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-topic_topic_temporal_bernice_en.md b/docs/_posts/ahmedlone127/2024-09-10-topic_topic_temporal_bernice_en.md
new file mode 100644
index 00000000000000..e9a64548e353e2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-topic_topic_temporal_bernice_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English topic_topic_temporal_bernice XlmRoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: topic_topic_temporal_bernice
+date: 2024-09-10
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`topic_topic_temporal_bernice` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/topic_topic_temporal_bernice_en_5.5.0_3.0_1726004330920.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/topic_topic_temporal_bernice_en_5.5.0_3.0_1726004330920.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_tuned|
+|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/olivvan/whisper-small-tuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_all_en.md b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_all_en.md
new file mode 100644
index 00000000000000..10915179765cf8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_all_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_all XlmRoBertaForSequenceClassification from xeventminer
+author: John Snow Labs
+name: xlm_roberta_all
+date: 2024-09-10
+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_all` is a English model originally trained by xeventminer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_all_en_5.5.0_3.0_1725981758219.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_all_en_5.5.0_3.0_1725981758219.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_all|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|809.1 MB|
+
+## References
+
+https://huggingface.co/xeventminer/xlm-roberta-all
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_all_youngbreadho_en.md b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_all_youngbreadho_en.md
new file mode 100644
index 00000000000000..8645a618aa58a7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_all_youngbreadho_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_all_youngbreadho XlmRoBertaForTokenClassification from youngbreadho
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_all_youngbreadho
+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_all_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_all_youngbreadho_en_5.5.0_3.0_1725972840891.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_youngbreadho_en_5.5.0_3.0_1725972840891.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_youngbreadho|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|861.5 MB|
+
+## References
+
+https://huggingface.co/youngbreadho/xlm-roberta-base-finetuned-panx-all
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_german_french_ericklerouge123_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_german_french_ericklerouge123_pipeline_en.md
new file mode 100644
index 00000000000000..75905adeab95de
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_panx_german_french_ericklerouge123_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_ericklerouge123_pipeline pipeline XlmRoBertaForTokenClassification from ericklerouge123
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_ericklerouge123_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_ericklerouge123_pipeline` is a English model originally trained by ericklerouge123.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_ericklerouge123_pipeline_en_5.5.0_3.0_1726010592629.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_ericklerouge123_pipeline_en_5.5.0_3.0_1726010592629.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_ericklerouge123_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_ericklerouge123_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_ericklerouge123_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|826.4 MB|
+
+## References
+
+https://huggingface.co/ericklerouge123/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_removed_0530_en.md b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_removed_0530_en.md
new file mode 100644
index 00000000000000..257b0c7bd59664
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-xlm_roberta_base_finetuned_removed_0530_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_removed_0530 XlmRoBertaForSequenceClassification from YeRyeongLee
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_removed_0530
+date: 2024-09-10
+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_removed_0530` is a English model originally trained by YeRyeongLee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_removed_0530_en_5.5.0_3.0_1725967484473.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_removed_0530_en_5.5.0_3.0_1725967484473.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_removed_0530|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|864.0 MB|
+
+## References
+
+https://huggingface.co/YeRyeongLee/xlm-roberta-base-finetuned-removed-0530
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-10-xlmr_finetuned_igbo_en.md b/docs/_posts/ahmedlone127/2024-09-10-xlmr_finetuned_igbo_en.md
new file mode 100644
index 00000000000000..554f224ba725b5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-10-xlmr_finetuned_igbo_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlmr_finetuned_igbo XlmRoBertaForTokenClassification from grace-pro
+author: John Snow Labs
+name: xlmr_finetuned_igbo
+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.`xlmr_finetuned_igbo` is a English model originally trained by grace-pro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlmr_finetuned_igbo_en_5.5.0_3.0_1725984960806.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlmr_finetuned_igbo_en_5.5.0_3.0_1725984960806.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlmr_finetuned_igbo|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|866.2 MB|
+
+## References
+
+https://huggingface.co/grace-pro/xlmr-finetuned-igbo
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-admedia_brasil_en.md b/docs/_posts/ahmedlone127/2024-09-11-admedia_brasil_en.md
new file mode 100644
index 00000000000000..40de88f0ec2aea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-admedia_brasil_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English admedia_brasil BertForSequenceClassification from Fcevalerio
+author: John Snow Labs
+name: admedia_brasil
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`admedia_brasil` is a English model originally trained by Fcevalerio.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/admedia_brasil_en_5.5.0_3.0_1726015545724.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/admedia_brasil_en_5.5.0_3.0_1726015545724.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|admedia_brasil|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|627.7 MB|
+
+## References
+
+https://huggingface.co/Fcevalerio/AdMedia_Brasil
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-all_mpnet_base_v2_2022_11_07_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-all_mpnet_base_v2_2022_11_07_pipeline_en.md
new file mode 100644
index 00000000000000..a7c5d4bcadbeb1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-all_mpnet_base_v2_2022_11_07_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English all_mpnet_base_v2_2022_11_07_pipeline pipeline MPNetEmbeddings from ronanki
+author: John Snow Labs
+name: all_mpnet_base_v2_2022_11_07_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_mpnet_base_v2_2022_11_07_pipeline` is a English model originally trained by ronanki.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_mpnet_base_v2_2022_11_07_pipeline_en_5.5.0_3.0_1726089341870.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_mpnet_base_v2_2022_11_07_pipeline_en_5.5.0_3.0_1726089341870.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_2022_11_07_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("all_mpnet_base_v2_2022_11_07_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_mpnet_base_v2_2022_11_07_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/ronanki/all-mpnet-base-v2-2022-11-07
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-all_mpnet_base_v2_anteater_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-all_mpnet_base_v2_anteater_pipeline_en.md
new file mode 100644
index 00000000000000..c87db8ebe5d44c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-all_mpnet_base_v2_anteater_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English all_mpnet_base_v2_anteater_pipeline pipeline MPNetEmbeddings from IconicAI
+author: John Snow Labs
+name: all_mpnet_base_v2_anteater_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_mpnet_base_v2_anteater_pipeline` is a English model originally trained by IconicAI.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_mpnet_base_v2_anteater_pipeline_en_5.5.0_3.0_1726054962293.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_mpnet_base_v2_anteater_pipeline_en_5.5.0_3.0_1726054962293.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_anteater_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("all_mpnet_base_v2_anteater_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_mpnet_base_v2_anteater_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.7 MB|
+
+## References
+
+https://huggingface.co/IconicAI/all-mpnet-base-v2-anteater
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-all_roberta_large_v1_banking_15_16_5_en.md b/docs/_posts/ahmedlone127/2024-09-11-all_roberta_large_v1_banking_15_16_5_en.md
new file mode 100644
index 00000000000000..b484026156d34c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-all_roberta_large_v1_banking_15_16_5_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English all_roberta_large_v1_banking_15_16_5 RoBertaForSequenceClassification from fathyshalab
+author: John Snow Labs
+name: all_roberta_large_v1_banking_15_16_5
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_roberta_large_v1_banking_15_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_banking_15_16_5_en_5.5.0_3.0_1726096729196.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_banking_15_16_5_en_5.5.0_3.0_1726096729196.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_banking_15_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-banking-15-16-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-all_roberta_large_v1_credit_cards_4_16_5_en.md b/docs/_posts/ahmedlone127/2024-09-11-all_roberta_large_v1_credit_cards_4_16_5_en.md
new file mode 100644
index 00000000000000..5b944b18a7d486
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-all_roberta_large_v1_credit_cards_4_16_5_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English all_roberta_large_v1_credit_cards_4_16_5 RoBertaForSequenceClassification from fathyshalab
+author: John Snow Labs
+name: all_roberta_large_v1_credit_cards_4_16_5
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_roberta_large_v1_credit_cards_4_16_5` is a English model originally trained by fathyshalab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_credit_cards_4_16_5_en_5.5.0_3.0_1726072031950.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_credit_cards_4_16_5_en_5.5.0_3.0_1726072031950.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_roberta_large_v1_credit_cards_4_16_5|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/fathyshalab/all-roberta-large-v1-credit_cards-4-16-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-amazon_en.md b/docs/_posts/ahmedlone127/2024-09-11-amazon_en.md
new file mode 100644
index 00000000000000..458312fb454a1b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-amazon_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English amazon DistilBertForSequenceClassification from bl03
+author: John Snow Labs
+name: amazon
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`amazon` is a English model originally trained by bl03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/amazon_en_5.5.0_3.0_1726017794091.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/amazon_en_5.5.0_3.0_1726017794091.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|amazon|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/bl03/amazon
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-amazon_helpfulness_classification_roberta_best_f1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-amazon_helpfulness_classification_roberta_best_f1_pipeline_en.md
new file mode 100644
index 00000000000000..d1a7e567068d43
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-amazon_helpfulness_classification_roberta_best_f1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English amazon_helpfulness_classification_roberta_best_f1_pipeline pipeline RoBertaForSequenceClassification from ltuzova
+author: John Snow Labs
+name: amazon_helpfulness_classification_roberta_best_f1_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`amazon_helpfulness_classification_roberta_best_f1_pipeline` is a English model originally trained by ltuzova.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/amazon_helpfulness_classification_roberta_best_f1_pipeline_en_5.5.0_3.0_1726096863674.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/amazon_helpfulness_classification_roberta_best_f1_pipeline_en_5.5.0_3.0_1726096863674.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("amazon_helpfulness_classification_roberta_best_f1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("amazon_helpfulness_classification_roberta_best_f1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|amazon_helpfulness_classification_roberta_best_f1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|464.8 MB|
+
+## References
+
+https://huggingface.co/ltuzova/amazon_helpfulness_classification_roberta_best_f1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-babyberta_aochildes_1_25m_aochildes_french1_25m_with_masking_finetuned_squad_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-babyberta_aochildes_1_25m_aochildes_french1_25m_with_masking_finetuned_squad_pipeline_en.md
new file mode 100644
index 00000000000000..e9fe187cb13190
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-babyberta_aochildes_1_25m_aochildes_french1_25m_with_masking_finetuned_squad_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English babyberta_aochildes_1_25m_aochildes_french1_25m_with_masking_finetuned_squad_pipeline pipeline RoBertaForQuestionAnswering from lielbin
+author: John Snow Labs
+name: babyberta_aochildes_1_25m_aochildes_french1_25m_with_masking_finetuned_squad_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`babyberta_aochildes_1_25m_aochildes_french1_25m_with_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_aochildes_1_25m_aochildes_french1_25m_with_masking_finetuned_squad_pipeline_en_5.5.0_3.0_1726036388617.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/babyberta_aochildes_1_25m_aochildes_french1_25m_with_masking_finetuned_squad_pipeline_en_5.5.0_3.0_1726036388617.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("babyberta_aochildes_1_25m_aochildes_french1_25m_with_masking_finetuned_squad_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("babyberta_aochildes_1_25m_aochildes_french1_25m_with_masking_finetuned_squad_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|babyberta_aochildes_1_25m_aochildes_french1_25m_with_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-aochildes_1.25M_aochildes-french1.25M-with-Masking-finetuned-SQuAD
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-babyberta_aochildes_1_25m_aochildes_french1_25m_without_masking_seed6_finetuned_squad_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-babyberta_aochildes_1_25m_aochildes_french1_25m_without_masking_seed6_finetuned_squad_pipeline_en.md
new file mode 100644
index 00000000000000..6d0c29ec0de714
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-babyberta_aochildes_1_25m_aochildes_french1_25m_without_masking_seed6_finetuned_squad_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English babyberta_aochildes_1_25m_aochildes_french1_25m_without_masking_seed6_finetuned_squad_pipeline pipeline RoBertaForQuestionAnswering from lielbin
+author: John Snow Labs
+name: babyberta_aochildes_1_25m_aochildes_french1_25m_without_masking_seed6_finetuned_squad_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`babyberta_aochildes_1_25m_aochildes_french1_25m_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_1_25m_aochildes_french1_25m_without_masking_seed6_finetuned_squad_pipeline_en_5.5.0_3.0_1726062159443.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/babyberta_aochildes_1_25m_aochildes_french1_25m_without_masking_seed6_finetuned_squad_pipeline_en_5.5.0_3.0_1726062159443.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("babyberta_aochildes_1_25m_aochildes_french1_25m_without_masking_seed6_finetuned_squad_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("babyberta_aochildes_1_25m_aochildes_french1_25m_without_masking_seed6_finetuned_squad_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|babyberta_aochildes_1_25m_aochildes_french1_25m_without_masking_seed6_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-aochildes_1.25M_aochildes-french1.25M-without-Masking-seed6-finetuned-SQuAD
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-babyberta_aochildes_2_5m_wikipedia1_2_5m_with_masking_seed3_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2024-09-11-babyberta_aochildes_2_5m_wikipedia1_2_5m_with_masking_seed3_finetuned_squad_en.md
new file mode 100644
index 00000000000000..3b6da4276988e4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-babyberta_aochildes_2_5m_wikipedia1_2_5m_with_masking_seed3_finetuned_squad_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English babyberta_aochildes_2_5m_wikipedia1_2_5m_with_masking_seed3_finetuned_squad RoBertaForQuestionAnswering from lielbin
+author: John Snow Labs
+name: babyberta_aochildes_2_5m_wikipedia1_2_5m_with_masking_seed3_finetuned_squad
+date: 2024-09-11
+tags: [en, open_source, onnx, question_answering, roberta]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`babyberta_aochildes_2_5m_wikipedia1_2_5m_with_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_wikipedia1_2_5m_with_masking_seed3_finetuned_squad_en_5.5.0_3.0_1726039957438.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/babyberta_aochildes_2_5m_wikipedia1_2_5m_with_masking_seed3_finetuned_squad_en_5.5.0_3.0_1726039957438.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_2_5m_wikipedia1_2_5m_with_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:|32.0 MB|
+
+## References
+
+https://huggingface.co/lielbin/BabyBERTa-aochildes_2.5M_wikipedia1_2.5M-with-Masking-seed3-finetuned-SQuAD
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-babyberta_aochildes_2_5m_wikipedia1_2_5m_without_masking_finetuned_french_squad_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-babyberta_aochildes_2_5m_wikipedia1_2_5m_without_masking_finetuned_french_squad_pipeline_en.md
new file mode 100644
index 00000000000000..81fb1591b19f8f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-babyberta_aochildes_2_5m_wikipedia1_2_5m_without_masking_finetuned_french_squad_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English babyberta_aochildes_2_5m_wikipedia1_2_5m_without_masking_finetuned_french_squad_pipeline pipeline RoBertaForQuestionAnswering from lielbin
+author: John Snow Labs
+name: babyberta_aochildes_2_5m_wikipedia1_2_5m_without_masking_finetuned_french_squad_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`babyberta_aochildes_2_5m_wikipedia1_2_5m_without_masking_finetuned_french_squad_pipeline` is a English model originally trained by lielbin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/babyberta_aochildes_2_5m_wikipedia1_2_5m_without_masking_finetuned_french_squad_pipeline_en_5.5.0_3.0_1726058095899.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/babyberta_aochildes_2_5m_wikipedia1_2_5m_without_masking_finetuned_french_squad_pipeline_en_5.5.0_3.0_1726058095899.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("babyberta_aochildes_2_5m_wikipedia1_2_5m_without_masking_finetuned_french_squad_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("babyberta_aochildes_2_5m_wikipedia1_2_5m_without_masking_finetuned_french_squad_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|babyberta_aochildes_2_5m_wikipedia1_2_5m_without_masking_finetuned_french_squad_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|32.0 MB|
+
+## References
+
+https://huggingface.co/lielbin/BabyBERTa-aochildes_2.5M_wikipedia1_2.5M-without-Masking-finetuned-french-SQuAD
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-babyberta_with_masking_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2024-09-11-babyberta_with_masking_finetuned_squad_en.md
new file mode 100644
index 00000000000000..0394e82d6919ee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-babyberta_with_masking_finetuned_squad_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English babyberta_with_masking_finetuned_squad RoBertaForQuestionAnswering from lielbin
+author: John Snow Labs
+name: babyberta_with_masking_finetuned_squad
+date: 2024-09-11
+tags: [en, open_source, onnx, question_answering, roberta]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`babyberta_with_masking_finetuned_squad` is a English model originally trained by lielbin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/babyberta_with_masking_finetuned_squad_en_5.5.0_3.0_1726062177335.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/babyberta_with_masking_finetuned_squad_en_5.5.0_3.0_1726062177335.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|babyberta_with_masking_finetuned_squad|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|32.0 MB|
+
+## References
+
+https://huggingface.co/lielbin/BabyBERTa_with-Masking-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-bert_classifier_bert_base_english_spanish_codemix_cased_pipeline_xx.md b/docs/_posts/ahmedlone127/2024-09-11-bert_classifier_bert_base_english_spanish_codemix_cased_pipeline_xx.md
new file mode 100644
index 00000000000000..8db1ca6b3df644
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-bert_classifier_bert_base_english_spanish_codemix_cased_pipeline_xx.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Multilingual bert_classifier_bert_base_english_spanish_codemix_cased_pipeline pipeline BertForSequenceClassification from rohanrajpal
+author: John Snow Labs
+name: bert_classifier_bert_base_english_spanish_codemix_cased_pipeline
+date: 2024-09-11
+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.`bert_classifier_bert_base_english_spanish_codemix_cased_pipeline` is a Multilingual model originally trained by rohanrajpal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_classifier_bert_base_english_spanish_codemix_cased_pipeline_xx_5.5.0_3.0_1726091986700.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_classifier_bert_base_english_spanish_codemix_cased_pipeline_xx_5.5.0_3.0_1726091986700.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_classifier_bert_base_english_spanish_codemix_cased_pipeline", lang = "xx")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_classifier_bert_base_english_spanish_codemix_cased_pipeline", lang = "xx")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_classifier_bert_base_english_spanish_codemix_cased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|xx|
+|Size:|667.3 MB|
+
+## References
+
+https://huggingface.co/rohanrajpal/bert-base-en-es-codemix-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-bert_large_uncased_ner_conll2003_andi611_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-bert_large_uncased_ner_conll2003_andi611_pipeline_en.md
new file mode 100644
index 00000000000000..7977852141b8b3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-bert_large_uncased_ner_conll2003_andi611_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_large_uncased_ner_conll2003_andi611_pipeline pipeline BertForTokenClassification from andi611
+author: John Snow Labs
+name: bert_large_uncased_ner_conll2003_andi611_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_large_uncased_ner_conll2003_andi611_pipeline` is a English model originally trained by andi611.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_ner_conll2003_andi611_pipeline_en_5.5.0_3.0_1726026581925.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_ner_conll2003_andi611_pipeline_en_5.5.0_3.0_1726026581925.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_large_uncased_ner_conll2003_andi611_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_large_uncased_ner_conll2003_andi611_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_ner_conll2003_andi611_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/andi611/bert-large-uncased-ner-conll2003
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-bert_minangkabau_velocity_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-bert_minangkabau_velocity_pipeline_en.md
new file mode 100644
index 00000000000000..c8d13692586f60
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-bert_minangkabau_velocity_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_minangkabau_velocity_pipeline pipeline BertForSequenceClassification from hsiungc
+author: John Snow Labs
+name: bert_minangkabau_velocity_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_minangkabau_velocity_pipeline` is a English model originally trained by hsiungc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_minangkabau_velocity_pipeline_en_5.5.0_3.0_1726016077421.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_minangkabau_velocity_pipeline_en_5.5.0_3.0_1726016077421.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_minangkabau_velocity_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_minangkabau_velocity_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_minangkabau_velocity_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.7 MB|
+
+## References
+
+https://huggingface.co/hsiungc/bert-min-velocity
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-bert_num_measures_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-bert_num_measures_pipeline_en.md
new file mode 100644
index 00000000000000..ab767b244985b9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-bert_num_measures_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_num_measures_pipeline pipeline BertForSequenceClassification from hsiungc
+author: John Snow Labs
+name: bert_num_measures_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_num_measures_pipeline` is a English model originally trained by hsiungc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_num_measures_pipeline_en_5.5.0_3.0_1726015796527.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_num_measures_pipeline_en_5.5.0_3.0_1726015796527.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_num_measures_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_num_measures_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_num_measures_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.7 MB|
+
+## References
+
+https://huggingface.co/hsiungc/bert-num-measures
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-bertweet_large_norwegian_augment_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-bertweet_large_norwegian_augment_pipeline_en.md
new file mode 100644
index 00000000000000..60e4b4c4f0d9df
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-bertweet_large_norwegian_augment_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bertweet_large_norwegian_augment_pipeline pipeline RoBertaForSequenceClassification from dvruette
+author: John Snow Labs
+name: bertweet_large_norwegian_augment_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bertweet_large_norwegian_augment_pipeline` is a English model originally trained by dvruette.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertweet_large_norwegian_augment_pipeline_en_5.5.0_3.0_1726071695710.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertweet_large_norwegian_augment_pipeline_en_5.5.0_3.0_1726071695710.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bertweet_large_norwegian_augment_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bertweet_large_norwegian_augment_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertweet_large_norwegian_augment_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/dvruette/bertweet-large_no-augment
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-best_model_yelp_polarity_32_100_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-best_model_yelp_polarity_32_100_pipeline_en.md
new file mode 100644
index 00000000000000..a13b752ddd010d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-best_model_yelp_polarity_32_100_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English best_model_yelp_polarity_32_100_pipeline pipeline AlbertForSequenceClassification from simonycl
+author: John Snow Labs
+name: best_model_yelp_polarity_32_100_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`best_model_yelp_polarity_32_100_pipeline` is a English model originally trained by simonycl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/best_model_yelp_polarity_32_100_pipeline_en_5.5.0_3.0_1726013597060.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/best_model_yelp_polarity_32_100_pipeline_en_5.5.0_3.0_1726013597060.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("best_model_yelp_polarity_32_100_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("best_model_yelp_polarity_32_100_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|best_model_yelp_polarity_32_100_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|44.2 MB|
+
+## References
+
+https://huggingface.co/simonycl/best_model-yelp_polarity-32-100
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- AlbertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-bsc_bio_ehr_spanish_vih_juicio_anam_urgen_en.md b/docs/_posts/ahmedlone127/2024-09-11-bsc_bio_ehr_spanish_vih_juicio_anam_urgen_en.md
new file mode 100644
index 00000000000000..a846df2e9f18fe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-bsc_bio_ehr_spanish_vih_juicio_anam_urgen_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bsc_bio_ehr_spanish_vih_juicio_anam_urgen RoBertaForSequenceClassification from Wariano
+author: John Snow Labs
+name: bsc_bio_ehr_spanish_vih_juicio_anam_urgen
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bsc_bio_ehr_spanish_vih_juicio_anam_urgen` is a English model originally trained by Wariano.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bsc_bio_ehr_spanish_vih_juicio_anam_urgen_en_5.5.0_3.0_1726089816657.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bsc_bio_ehr_spanish_vih_juicio_anam_urgen_en_5.5.0_3.0_1726089816657.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_vih_juicio_anam_urgen|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|464.1 MB|
+
+## References
+
+https://huggingface.co/Wariano/bsc-bio-ehr-es-vih-juicio_anam_urgen
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-burmese_awesome_model_hannestt_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-burmese_awesome_model_hannestt_pipeline_en.md
new file mode 100644
index 00000000000000..c12cc8c4603041
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-burmese_awesome_model_hannestt_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_hannestt_pipeline pipeline DistilBertForSequenceClassification from hannestt
+author: John Snow Labs
+name: burmese_awesome_model_hannestt_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_hannestt_pipeline` is a English model originally trained by hannestt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_hannestt_pipeline_en_5.5.0_3.0_1726017987974.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_hannestt_pipeline_en_5.5.0_3.0_1726017987974.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_hannestt_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_hannestt_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_hannestt_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.4 MB|
+
+## References
+
+https://huggingface.co/hannestt/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-burmese_awesome_model_prezily_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-burmese_awesome_model_prezily_pipeline_en.md
new file mode 100644
index 00000000000000..46431caf827836
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-burmese_awesome_model_prezily_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_prezily_pipeline pipeline DistilBertForSequenceClassification from Prezily
+author: John Snow Labs
+name: burmese_awesome_model_prezily_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_prezily_pipeline` is a English model originally trained by Prezily.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_prezily_pipeline_en_5.5.0_3.0_1726052507565.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_prezily_pipeline_en_5.5.0_3.0_1726052507565.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_prezily_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_prezily_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_prezily_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Prezily/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-burmese_awesome_model_st2220_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-burmese_awesome_model_st2220_pipeline_en.md
new file mode 100644
index 00000000000000..000f464b8d034b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-burmese_awesome_model_st2220_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_st2220_pipeline pipeline DistilBertForSequenceClassification from st2220
+author: John Snow Labs
+name: burmese_awesome_model_st2220_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_st2220_pipeline` is a English model originally trained by st2220.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_st2220_pipeline_en_5.5.0_3.0_1726017971306.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_st2220_pipeline_en_5.5.0_3.0_1726017971306.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_st2220_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_st2220_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_st2220_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/st2220/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-burmese_awesome_qa_model_hhjingbo_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-burmese_awesome_qa_model_hhjingbo_pipeline_en.md
new file mode 100644
index 00000000000000..b7da56b82b24bc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-burmese_awesome_qa_model_hhjingbo_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_hhjingbo_pipeline pipeline DistilBertForQuestionAnswering from HHJingbo
+author: John Snow Labs
+name: burmese_awesome_qa_model_hhjingbo_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_hhjingbo_pipeline` is a English model originally trained by HHJingbo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_hhjingbo_pipeline_en_5.5.0_3.0_1726016744821.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_hhjingbo_pipeline_en_5.5.0_3.0_1726016744821.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_hhjingbo_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_qa_model_hhjingbo_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_hhjingbo_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/HHJingbo/my_awesome_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-burmese_awesome_qa_model_ih138_en.md b/docs/_posts/ahmedlone127/2024-09-11-burmese_awesome_qa_model_ih138_en.md
new file mode 100644
index 00000000000000..c706d5e6c61212
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-burmese_awesome_qa_model_ih138_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_ih138 DistilBertForQuestionAnswering from ih138
+author: John Snow Labs
+name: burmese_awesome_qa_model_ih138
+date: 2024-09-11
+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_ih138` is a English model originally trained by ih138.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_ih138_en_5.5.0_3.0_1726087899423.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_ih138_en_5.5.0_3.0_1726087899423.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_prithviraj_maurya|
+|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/prithviraj-maurya/my_awesome_qa_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-burmese_multiclass_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-burmese_multiclass_model_pipeline_en.md
new file mode 100644
index 00000000000000..185daf1840ae08
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-burmese_multiclass_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_multiclass_model_pipeline pipeline DistilBertForSequenceClassification from Arsalan8
+author: John Snow Labs
+name: burmese_multiclass_model_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_multiclass_model_pipeline` is a English model originally trained by Arsalan8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_multiclass_model_pipeline_en_5.5.0_3.0_1726052332723.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_multiclass_model_pipeline_en_5.5.0_3.0_1726052332723.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_multiclass_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_multiclass_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_multiclass_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/Arsalan8/my_multiclass_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-cebuanolanguagemodel_en.md b/docs/_posts/ahmedlone127/2024-09-11-cebuanolanguagemodel_en.md
new file mode 100644
index 00000000000000..2b01d7fc391fca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-cebuanolanguagemodel_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English cebuanolanguagemodel RoBertaEmbeddings from jfernandez
+author: John Snow Labs
+name: cebuanolanguagemodel
+date: 2024-09-11
+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.`cebuanolanguagemodel` is a English model originally trained by jfernandez.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cebuanolanguagemodel_en_5.5.0_3.0_1726032420687.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cebuanolanguagemodel_en_5.5.0_3.0_1726032420687.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cebuanolanguagemodel|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|311.1 MB|
+
+## References
+
+https://huggingface.co/jfernandez/cebuanoLanguageModel
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-coha1950s_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-coha1950s_pipeline_en.md
new file mode 100644
index 00000000000000..02695dda2e4a7e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-coha1950s_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English coha1950s_pipeline pipeline RoBertaEmbeddings from simonmun
+author: John Snow Labs
+name: coha1950s_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`coha1950s_pipeline` is a English model originally trained by simonmun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/coha1950s_pipeline_en_5.5.0_3.0_1726032424189.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/coha1950s_pipeline_en_5.5.0_3.0_1726032424189.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("coha1950s_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("coha1950s_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|coha1950s_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|308.2 MB|
+
+## References
+
+https://huggingface.co/simonmun/COHA1950s
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-cuad_distil_parties_08_25_en.md b/docs/_posts/ahmedlone127/2024-09-11-cuad_distil_parties_08_25_en.md
new file mode 100644
index 00000000000000..d6f68a45a782c5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-cuad_distil_parties_08_25_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English cuad_distil_parties_08_25 DistilBertForQuestionAnswering from saraks
+author: John Snow Labs
+name: cuad_distil_parties_08_25
+date: 2024-09-11
+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_parties_08_25` is a English model originally trained by saraks.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cuad_distil_parties_08_25_en_5.5.0_3.0_1726088130203.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cuad_distil_parties_08_25_en_5.5.0_3.0_1726088130203.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_parties_08_25|
+|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-parties-08-25
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-deberta_v3_large_sentiment_mixture_en.md b/docs/_posts/ahmedlone127/2024-09-11-deberta_v3_large_sentiment_mixture_en.md
new file mode 100644
index 00000000000000..2589d03dc24f45
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-deberta_v3_large_sentiment_mixture_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English deberta_v3_large_sentiment_mixture DeBertaForSequenceClassification from brutusxu
+author: John Snow Labs
+name: deberta_v3_large_sentiment_mixture
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, deberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DeBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DeBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deberta_v3_large_sentiment_mixture` is a English model originally trained by brutusxu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deberta_v3_large_sentiment_mixture_en_5.5.0_3.0_1726030910066.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_v3_large_sentiment_mixture_en_5.5.0_3.0_1726030910066.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_sentiment_mixture|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.6 GB|
+
+## References
+
+https://huggingface.co/brutusxu/deberta-v3-large-sentiment-mixture
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-deberta_v3_large_sentiment_mixture_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-deberta_v3_large_sentiment_mixture_pipeline_en.md
new file mode 100644
index 00000000000000..78efa05ca120a1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-deberta_v3_large_sentiment_mixture_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English deberta_v3_large_sentiment_mixture_pipeline pipeline DeBertaForSequenceClassification from brutusxu
+author: John Snow Labs
+name: deberta_v3_large_sentiment_mixture_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DeBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deberta_v3_large_sentiment_mixture_pipeline` is a English model originally trained by brutusxu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deberta_v3_large_sentiment_mixture_pipeline_en_5.5.0_3.0_1726031008416.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_v3_large_sentiment_mixture_pipeline_en_5.5.0_3.0_1726031008416.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("deberta_v3_large_sentiment_mixture_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("deberta_v3_large_sentiment_mixture_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deberta_v3_large_sentiment_mixture_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.6 GB|
+
+## References
+
+https://huggingface.co/brutusxu/deberta-v3-large-sentiment-mixture
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DeBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-deproberta_2ndstage_en.md b/docs/_posts/ahmedlone127/2024-09-11-deproberta_2ndstage_en.md
new file mode 100644
index 00000000000000..4cd969c923b9e0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-deproberta_2ndstage_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English deproberta_2ndstage RoBertaForSequenceClassification from ericNguyen0132
+author: John Snow Labs
+name: deproberta_2ndstage
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deproberta_2ndstage` is a English model originally trained by ericNguyen0132.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deproberta_2ndstage_en_5.5.0_3.0_1726071894359.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deproberta_2ndstage_en_5.5.0_3.0_1726071894359.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deproberta_2ndstage|
+|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/ericNguyen0132/DepRoBERTa-2ndStage
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_german_cased_cimt_argument_type_pipeline_de.md b/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_german_cased_cimt_argument_type_pipeline_de.md
new file mode 100644
index 00000000000000..4d083122ef3500
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_german_cased_cimt_argument_type_pipeline_de.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: German distilbert_base_german_cased_cimt_argument_type_pipeline pipeline DistilBertForSequenceClassification from juliaromberg
+author: John Snow Labs
+name: distilbert_base_german_cased_cimt_argument_type_pipeline
+date: 2024-09-11
+tags: [de, open_source, pipeline, onnx]
+task: Text Classification
+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 DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_german_cased_cimt_argument_type_pipeline` is a German model originally trained by juliaromberg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_german_cased_cimt_argument_type_pipeline_de_5.5.0_3.0_1726014282233.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_german_cased_cimt_argument_type_pipeline_de_5.5.0_3.0_1726014282233.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_german_cased_cimt_argument_type_pipeline", lang = "de")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_german_cased_cimt_argument_type_pipeline", lang = "de")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_german_cased_cimt_argument_type_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|de|
+|Size:|252.5 MB|
+
+## References
+
+https://huggingface.co/juliaromberg/distilbert-base-german-cased_cimt-argument-type
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_finetuned_custom_dataset_en.md b/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_finetuned_custom_dataset_en.md
new file mode 100644
index 00000000000000..4d9d939229e6c1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_finetuned_custom_dataset_en.md
@@ -0,0 +1,98 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_custom_dataset DistilBertForSequenceClassification from pavithrav
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_custom_dataset
+date: 2024-09-11
+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: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_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_custom_dataset` is a English model originally trained by pavithrav.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_custom_dataset_en_5.5.0_3.0_1726028812357.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_custom_dataset_en_5.5.0_3.0_1726028812357.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_custom_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
+
+References
+
+https://huggingface.co/pavithrav/distilbert-base-uncased-finetuned-custom-dataset
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_finetuned_emotion_shunjiang_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_finetuned_emotion_shunjiang_pipeline_en.md
new file mode 100644
index 00000000000000..1c6e831aea3bb5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_finetuned_emotion_shunjiang_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_shunjiang_pipeline pipeline DistilBertForSequenceClassification from shunjiang
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_shunjiang_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_shunjiang_pipeline` is a English model originally trained by shunjiang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_shunjiang_pipeline_en_5.5.0_3.0_1726017525509.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_shunjiang_pipeline_en_5.5.0_3.0_1726017525509.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_shunjiang_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_shunjiang_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_shunjiang_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/shunjiang/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_finetuned_mrpc_carlos0101_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_finetuned_mrpc_carlos0101_pipeline_en.md
new file mode 100644
index 00000000000000..07328070722c89
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_finetuned_mrpc_carlos0101_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_mrpc_carlos0101_pipeline pipeline DistilBertForSequenceClassification from Carlos0101
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_mrpc_carlos0101_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_mrpc_carlos0101_pipeline` is a English model originally trained by Carlos0101.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_mrpc_carlos0101_pipeline_en_5.5.0_3.0_1726014938891.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_mrpc_carlos0101_pipeline_en_5.5.0_3.0_1726014938891.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_mrpc_carlos0101_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_mrpc_carlos0101_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_mrpc_carlos0101_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Carlos0101/distilbert-base-uncased-finetuned-mrpc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_finetuned_squad_ajika2102_en.md b/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_finetuned_squad_ajika2102_en.md
new file mode 100644
index 00000000000000..6a7a9a0098a994
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_finetuned_squad_ajika2102_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_ajika2102 DistilBertForQuestionAnswering from Ajika2102
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_ajika2102
+date: 2024-09-11
+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_ajika2102` is a English model originally trained by Ajika2102.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_ajika2102_en_5.5.0_3.0_1726028705077.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_ajika2102_en_5.5.0_3.0_1726028705077.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_ajika2102|
+|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/Ajika2102/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_finetuned_squad_dshitkar_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_finetuned_squad_dshitkar_pipeline_en.md
new file mode 100644
index 00000000000000..032ea49ad28f38
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_finetuned_squad_dshitkar_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_dshitkar_pipeline pipeline DistilBertForQuestionAnswering from dshitkar
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_dshitkar_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_dshitkar_pipeline` is a English model originally trained by dshitkar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_dshitkar_pipeline_en_5.5.0_3.0_1726028853893.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_dshitkar_pipeline_en_5.5.0_3.0_1726028853893.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_dshitkar_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_dshitkar_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_dshitkar_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/dshitkar/distilbert-base-uncased-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_finetuned_squad_test2_en.md b/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_finetuned_squad_test2_en.md
new file mode 100644
index 00000000000000..2ff986b7c8b5c5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_finetuned_squad_test2_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_test2 DistilBertForQuestionAnswering from allistair99
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_test2
+date: 2024-09-11
+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_test2` is a English model originally trained by allistair99.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_test2_en_5.5.0_3.0_1726028853878.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_test2_en_5.5.0_3.0_1726028853878.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_test2|
+|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/allistair99/distilbert-base-uncased-finetuned-squad-test2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_odm_zphr_0st11sd_ut72ut5_plprefix0stlarge11_simsp100_clean100_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_odm_zphr_0st11sd_ut72ut5_plprefix0stlarge11_simsp100_clean100_pipeline_en.md
new file mode 100644
index 00000000000000..7528450a55ff69
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-distilbert_base_uncased_odm_zphr_0st11sd_ut72ut5_plprefix0stlarge11_simsp100_clean100_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st11sd_ut72ut5_plprefix0stlarge11_simsp100_clean100_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st11sd_ut72ut5_plprefix0stlarge11_simsp100_clean100_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st11sd_ut72ut5_plprefix0stlarge11_simsp100_clean100_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st11sd_ut72ut5_plprefix0stlarge11_simsp100_clean100_pipeline_en_5.5.0_3.0_1726017587075.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st11sd_ut72ut5_plprefix0stlarge11_simsp100_clean100_pipeline_en_5.5.0_3.0_1726017587075.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st11sd_ut72ut5_plprefix0stlarge11_simsp100_clean100_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st11sd_ut72ut5_plprefix0stlarge11_simsp100_clean100_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st11sd_ut72ut5_plprefix0stlarge11_simsp100_clean100_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st11sd_ut72ut5_PLPrefix0stlarge11_simsp100_clean100
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-distilbert_finetuned_squadv2_naruto123321_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-distilbert_finetuned_squadv2_naruto123321_pipeline_en.md
new file mode 100644
index 00000000000000..14967dde2ae7aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-distilbert_finetuned_squadv2_naruto123321_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_finetuned_squadv2_naruto123321_pipeline pipeline DistilBertForQuestionAnswering from Naruto123321
+author: John Snow Labs
+name: distilbert_finetuned_squadv2_naruto123321_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_squadv2_naruto123321_pipeline` is a English model originally trained by Naruto123321.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_squadv2_naruto123321_pipeline_en_5.5.0_3.0_1726028568338.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_squadv2_naruto123321_pipeline_en_5.5.0_3.0_1726028568338.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_finetuned_squadv2_naruto123321_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_finetuned_squadv2_naruto123321_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_squadv2_naruto123321_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Naruto123321/distilbert-finetuned-squadv2
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-distilbert_sarcascm_classifier_en.md b/docs/_posts/ahmedlone127/2024-09-11-distilbert_sarcascm_classifier_en.md
new file mode 100644
index 00000000000000..4b88ee957be795
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-distilbert_sarcascm_classifier_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_sarcascm_classifier DistilBertForSequenceClassification from brianellis1997
+author: John Snow Labs
+name: distilbert_sarcascm_classifier
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sarcascm_classifier` is a English model originally trained by brianellis1997.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sarcascm_classifier_en_5.5.0_3.0_1726014732943.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sarcascm_classifier_en_5.5.0_3.0_1726014732943.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_uhuy|
+|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/tyavika/DistilBERT-uhuy
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-distilbertforsequenceclassification_6h_768dim_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-distilbertforsequenceclassification_6h_768dim_pipeline_en.md
new file mode 100644
index 00000000000000..44ef436ba5439e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-distilbertforsequenceclassification_6h_768dim_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbertforsequenceclassification_6h_768dim_pipeline pipeline DistilBertForSequenceClassification from lxs1
+author: John Snow Labs
+name: distilbertforsequenceclassification_6h_768dim_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbertforsequenceclassification_6h_768dim_pipeline` is a English model originally trained by lxs1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbertforsequenceclassification_6h_768dim_pipeline_en_5.5.0_3.0_1726052423087.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbertforsequenceclassification_6h_768dim_pipeline_en_5.5.0_3.0_1726052423087.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbertforsequenceclassification_6h_768dim_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbertforsequenceclassification_6h_768dim_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbertforsequenceclassification_6h_768dim_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|250.3 MB|
+
+## References
+
+https://huggingface.co/lxs1/DistilBertForSequenceClassification_6h_768dim
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-distilroberta_base_etc_nlp_en.md b/docs/_posts/ahmedlone127/2024-09-11-distilroberta_base_etc_nlp_en.md
new file mode 100644
index 00000000000000..0399f6c29bf56f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-distilroberta_base_etc_nlp_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilroberta_base_etc_nlp RoBertaForSequenceClassification from agi-css
+author: John Snow Labs
+name: distilroberta_base_etc_nlp
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_etc_nlp` is a English model originally trained by agi-css.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_etc_nlp_en_5.5.0_3.0_1726053483725.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_etc_nlp_en_5.5.0_3.0_1726053483725.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dummy|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|es|
+|Size:|539.4 MB|
+
+## References
+
+https://huggingface.co/DTorregrosa/dummy
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-dynasent_roberta_text_disagreement_predictor_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-dynasent_roberta_text_disagreement_predictor_pipeline_en.md
new file mode 100644
index 00000000000000..11d7ac25e92612
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-dynasent_roberta_text_disagreement_predictor_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dynasent_roberta_text_disagreement_predictor_pipeline pipeline RoBertaForSequenceClassification from RuyuanWan
+author: John Snow Labs
+name: dynasent_roberta_text_disagreement_predictor_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dynasent_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/dynasent_roberta_text_disagreement_predictor_pipeline_en_5.5.0_3.0_1726095837080.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dynasent_roberta_text_disagreement_predictor_pipeline_en_5.5.0_3.0_1726095837080.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dynasent_roberta_text_disagreement_predictor_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dynasent_roberta_text_disagreement_predictor_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dynasent_roberta_text_disagreement_predictor_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|446.0 MB|
+
+## References
+
+https://huggingface.co/RuyuanWan/Dynasent_RoBERTa_Text_Disagreement_Predictor
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-fine_tune_spatial_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-fine_tune_spatial_pipeline_en.md
new file mode 100644
index 00000000000000..d367b594d12317
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-fine_tune_spatial_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English fine_tune_spatial_pipeline pipeline RoBertaForQuestionAnswering from dflcmu
+author: John Snow Labs
+name: fine_tune_spatial_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tune_spatial_pipeline` is a English model originally trained by dflcmu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tune_spatial_pipeline_en_5.5.0_3.0_1726062229745.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tune_spatial_pipeline_en_5.5.0_3.0_1726062229745.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fine_tune_spatial_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fine_tune_spatial_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tune_spatial_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|463.5 MB|
+
+## References
+
+https://huggingface.co/dflcmu/fine_tune_spatial
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-fine_tuned_twitter_roberta_base_sentiment_en.md b/docs/_posts/ahmedlone127/2024-09-11-fine_tuned_twitter_roberta_base_sentiment_en.md
new file mode 100644
index 00000000000000..89d7d0f7efb937
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-fine_tuned_twitter_roberta_base_sentiment_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English fine_tuned_twitter_roberta_base_sentiment RoBertaForSequenceClassification from bright1
+author: John Snow Labs
+name: fine_tuned_twitter_roberta_base_sentiment
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_twitter_roberta_base_sentiment` is a English model originally trained by bright1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_twitter_roberta_base_sentiment_en_5.5.0_3.0_1726060588431.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_twitter_roberta_base_sentiment_en_5.5.0_3.0_1726060588431.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_twitter_roberta_base_sentiment|
+|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/bright1/fine-tuned-twitter-Roberta-base-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-finetuned_hindi_tonga_tonga_islands_english_v8_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-finetuned_hindi_tonga_tonga_islands_english_v8_pipeline_en.md
new file mode 100644
index 00000000000000..b9f25114b8c6fd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-finetuned_hindi_tonga_tonga_islands_english_v8_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuned_hindi_tonga_tonga_islands_english_v8_pipeline pipeline MarianTransformer from TestZee
+author: John Snow Labs
+name: finetuned_hindi_tonga_tonga_islands_english_v8_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_hindi_tonga_tonga_islands_english_v8_pipeline` is a English model originally trained by TestZee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_hindi_tonga_tonga_islands_english_v8_pipeline_en_5.5.0_3.0_1726047246739.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_hindi_tonga_tonga_islands_english_v8_pipeline_en_5.5.0_3.0_1726047246739.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuned_hindi_tonga_tonga_islands_english_v8_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuned_hindi_tonga_tonga_islands_english_v8_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_hindi_tonga_tonga_islands_english_v8_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|519.0 MB|
+
+## References
+
+https://huggingface.co/TestZee/FineTuned-hindi-to-english-V8
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-finetuning_model_testing_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-finetuning_model_testing_pipeline_en.md
new file mode 100644
index 00000000000000..22e81c0ea6ec31
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-finetuning_model_testing_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_model_testing_pipeline pipeline RoBertaForSequenceClassification from sadiiipc
+author: John Snow Labs
+name: finetuning_model_testing_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_model_testing_pipeline` is a English model originally trained by sadiiipc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_model_testing_pipeline_en_5.5.0_3.0_1726063612937.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_model_testing_pipeline_en_5.5.0_3.0_1726063612937.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_model_testing_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_model_testing_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_model_testing_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|451.8 MB|
+
+## References
+
+https://huggingface.co/sadiiipc/finetuning-model-testing
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-focusing_questions_en.md b/docs/_posts/ahmedlone127/2024-09-11-focusing_questions_en.md
new file mode 100644
index 00000000000000..fe32dc7713e206
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-focusing_questions_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English focusing_questions BertForSequenceClassification from stanford-nlpxed
+author: John Snow Labs
+name: focusing_questions
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`focusing_questions` is a English model originally trained by stanford-nlpxed.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/focusing_questions_en_5.5.0_3.0_1726095242227.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/focusing_questions_en_5.5.0_3.0_1726095242227.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|focusing_questions|
+|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/stanford-nlpxed/focusing-questions
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-fre_med_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-fre_med_pipeline_en.md
new file mode 100644
index 00000000000000..834e9cf41259d1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-fre_med_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English fre_med_pipeline pipeline MarianTransformer from rickySaka
+author: John Snow Labs
+name: fre_med_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fre_med_pipeline` is a English model originally trained by rickySaka.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fre_med_pipeline_en_5.5.0_3.0_1726073868955.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fre_med_pipeline_en_5.5.0_3.0_1726073868955.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fre_med_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fre_med_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fre_med_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|507.7 MB|
+
+## References
+
+https://huggingface.co/rickySaka/fre-med
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-gal_ner_xlmr_6_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-gal_ner_xlmr_6_pipeline_en.md
new file mode 100644
index 00000000000000..61ff0c9de6b3a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-gal_ner_xlmr_6_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English gal_ner_xlmr_6_pipeline pipeline XlmRoBertaForTokenClassification from homersimpson
+author: John Snow Labs
+name: gal_ner_xlmr_6_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`gal_ner_xlmr_6_pipeline` is a English model originally trained by homersimpson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gal_ner_xlmr_6_pipeline_en_5.5.0_3.0_1726068688155.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gal_ner_xlmr_6_pipeline_en_5.5.0_3.0_1726068688155.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("gal_ner_xlmr_6_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("gal_ner_xlmr_6_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gal_ner_xlmr_6_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|808.6 MB|
+
+## References
+
+https://huggingface.co/homersimpson/gal-ner-xlmr-6
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-gpu1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-gpu1_pipeline_en.md
new file mode 100644
index 00000000000000..3efc3a43cc0b83
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-gpu1_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English gpu1_pipeline pipeline MPNetEmbeddings from Watwat100
+author: John Snow Labs
+name: gpu1_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`gpu1_pipeline` is a English model originally trained by Watwat100.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gpu1_pipeline_en_5.5.0_3.0_1726092828017.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gpu1_pipeline_en_5.5.0_3.0_1726092828017.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("gpu1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("gpu1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gpu1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/Watwat100/gpu1
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-gpu2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-gpu2_pipeline_en.md
new file mode 100644
index 00000000000000..194e34ee3bcf70
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-gpu2_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English gpu2_pipeline pipeline MPNetEmbeddings from Watwat100
+author: John Snow Labs
+name: gpu2_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`gpu2_pipeline` is a English model originally trained by Watwat100.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gpu2_pipeline_en_5.5.0_3.0_1726092833508.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gpu2_pipeline_en_5.5.0_3.0_1726092833508.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("gpu2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("gpu2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gpu2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.1 MB|
+
+## References
+
+https://huggingface.co/Watwat100/gpu2
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-grappa_large_jnt_en.md b/docs/_posts/ahmedlone127/2024-09-11-grappa_large_jnt_en.md
new file mode 100644
index 00000000000000..2653f9534a9d7e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-grappa_large_jnt_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English grappa_large_jnt RoBertaEmbeddings from Salesforce
+author: John Snow Labs
+name: grappa_large_jnt
+date: 2024-09-11
+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.`grappa_large_jnt` is a English model originally trained by Salesforce.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/grappa_large_jnt_en_5.5.0_3.0_1726066083574.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/grappa_large_jnt_en_5.5.0_3.0_1726066083574.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|grappa_large_jnt|
+|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/Salesforce/grappa_large_jnt
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-guwen_all_mpnet_base_v2_nepal_bhasa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-guwen_all_mpnet_base_v2_nepal_bhasa_pipeline_en.md
new file mode 100644
index 00000000000000..2846cb51d8c560
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-guwen_all_mpnet_base_v2_nepal_bhasa_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English guwen_all_mpnet_base_v2_nepal_bhasa_pipeline pipeline MPNetEmbeddings from RinaChen
+author: John Snow Labs
+name: guwen_all_mpnet_base_v2_nepal_bhasa_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`guwen_all_mpnet_base_v2_nepal_bhasa_pipeline` is a English model originally trained by RinaChen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/guwen_all_mpnet_base_v2_nepal_bhasa_pipeline_en_5.5.0_3.0_1726089150202.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/guwen_all_mpnet_base_v2_nepal_bhasa_pipeline_en_5.5.0_3.0_1726089150202.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("guwen_all_mpnet_base_v2_nepal_bhasa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("guwen_all_mpnet_base_v2_nepal_bhasa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|guwen_all_mpnet_base_v2_nepal_bhasa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/RinaChen/GuWen-all-mpnet-base-v2-new
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-helsinki_danish_swedish_v16_en.md b/docs/_posts/ahmedlone127/2024-09-11-helsinki_danish_swedish_v16_en.md
new file mode 100644
index 00000000000000..478e9c7e0c7b23
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-helsinki_danish_swedish_v16_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English helsinki_danish_swedish_v16 MarianTransformer from Danieljacobsen
+author: John Snow Labs
+name: helsinki_danish_swedish_v16
+date: 2024-09-11
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`helsinki_danish_swedish_v16` is a English model originally trained by Danieljacobsen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/helsinki_danish_swedish_v16_en_5.5.0_3.0_1726038016933.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/helsinki_danish_swedish_v16_en_5.5.0_3.0_1726038016933.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_v16|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|496.8 MB|
+
+## References
+
+https://huggingface.co/Danieljacobsen/Helsinki-DA-SV-v16
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-indobertweet_base_indonesian_sentiment_analysis_pipeline_id.md b/docs/_posts/ahmedlone127/2024-09-11-indobertweet_base_indonesian_sentiment_analysis_pipeline_id.md
new file mode 100644
index 00000000000000..260fb5f6042454
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-indobertweet_base_indonesian_sentiment_analysis_pipeline_id.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Indonesian indobertweet_base_indonesian_sentiment_analysis_pipeline pipeline BertForSequenceClassification from Aardiiiiy
+author: John Snow Labs
+name: indobertweet_base_indonesian_sentiment_analysis_pipeline
+date: 2024-09-11
+tags: [id, open_source, pipeline, onnx]
+task: Text Classification
+language: id
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`indobertweet_base_indonesian_sentiment_analysis_pipeline` is a Indonesian model originally trained by Aardiiiiy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/indobertweet_base_indonesian_sentiment_analysis_pipeline_id_5.5.0_3.0_1726015170250.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/indobertweet_base_indonesian_sentiment_analysis_pipeline_id_5.5.0_3.0_1726015170250.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("indobertweet_base_indonesian_sentiment_analysis_pipeline", lang = "id")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("indobertweet_base_indonesian_sentiment_analysis_pipeline", lang = "id")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|indobertweet_base_indonesian_sentiment_analysis_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|id|
+|Size:|414.1 MB|
+
+## References
+
+https://huggingface.co/Aardiiiiy/indobertweet-base-Indonesian-sentiment-analysis
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-ironial52_roberta_es.md b/docs/_posts/ahmedlone127/2024-09-11-ironial52_roberta_es.md
new file mode 100644
index 00000000000000..3b373f659c047a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-ironial52_roberta_es.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Castilian, Spanish ironial52_roberta RoBertaForSequenceClassification from l52mas
+author: John Snow Labs
+name: ironial52_roberta
+date: 2024-09-11
+tags: [es, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: es
+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.`ironial52_roberta` is a Castilian, Spanish model originally trained by l52mas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ironial52_roberta_es_5.5.0_3.0_1726082588188.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ironial52_roberta_es_5.5.0_3.0_1726082588188.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ironial52_roberta|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|es|
+|Size:|468.2 MB|
+
+## References
+
+https://huggingface.co/l52mas/ironiaL52_roberta
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-klue_bert_base_sentiment_pipeline_ko.md b/docs/_posts/ahmedlone127/2024-09-11-klue_bert_base_sentiment_pipeline_ko.md
new file mode 100644
index 00000000000000..5983f7fe7d69a6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-klue_bert_base_sentiment_pipeline_ko.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Korean klue_bert_base_sentiment_pipeline pipeline BertForSequenceClassification from hun3359
+author: John Snow Labs
+name: klue_bert_base_sentiment_pipeline
+date: 2024-09-11
+tags: [ko, open_source, pipeline, onnx]
+task: Text Classification
+language: ko
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`klue_bert_base_sentiment_pipeline` is a Korean model originally trained by hun3359.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/klue_bert_base_sentiment_pipeline_ko_5.5.0_3.0_1726059564558.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/klue_bert_base_sentiment_pipeline_ko_5.5.0_3.0_1726059564558.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("klue_bert_base_sentiment_pipeline", lang = "ko")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("klue_bert_base_sentiment_pipeline", lang = "ko")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|klue_bert_base_sentiment_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ko|
+|Size:|414.8 MB|
+
+## References
+
+https://huggingface.co/hun3359/klue-bert-base-sentiment
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-lab1_finetuning_mon_en.md b/docs/_posts/ahmedlone127/2024-09-11-lab1_finetuning_mon_en.md
new file mode 100644
index 00000000000000..bc1e3618291ed1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-lab1_finetuning_mon_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English lab1_finetuning_mon MarianTransformer from Viennes
+author: John Snow Labs
+name: lab1_finetuning_mon
+date: 2024-09-11
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`lab1_finetuning_mon` is a English model originally trained by Viennes.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lab1_finetuning_mon_en_5.5.0_3.0_1726073802567.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lab1_finetuning_mon_en_5.5.0_3.0_1726073802567.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lab1_finetuning_mon|
+|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/Viennes/lab1_finetuning_mon
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-lthien_bislama_ep_tra_bai_corsican_phuong_pipeline_nan.md b/docs/_posts/ahmedlone127/2024-09-11-lthien_bislama_ep_tra_bai_corsican_phuong_pipeline_nan.md
new file mode 100644
index 00000000000000..a8b6607728800e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-lthien_bislama_ep_tra_bai_corsican_phuong_pipeline_nan.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: None lthien_bislama_ep_tra_bai_corsican_phuong_pipeline pipeline DistilBertForQuestionAnswering from hi113
+author: John Snow Labs
+name: lthien_bislama_ep_tra_bai_corsican_phuong_pipeline
+date: 2024-09-11
+tags: [nan, open_source, pipeline, onnx]
+task: Question Answering
+language: nan
+edition: Spark 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.`lthien_bislama_ep_tra_bai_corsican_phuong_pipeline` is a None model originally trained by hi113.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lthien_bislama_ep_tra_bai_corsican_phuong_pipeline_nan_5.5.0_3.0_1726088239959.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lthien_bislama_ep_tra_bai_corsican_phuong_pipeline_nan_5.5.0_3.0_1726088239959.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("lthien_bislama_ep_tra_bai_corsican_phuong_pipeline", lang = "nan")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("lthien_bislama_ep_tra_bai_corsican_phuong_pipeline", lang = "nan")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lthien_bislama_ep_tra_bai_corsican_phuong_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|nan|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/hi113/ltHien_Bi_Ep_Tra_Bai_Co_Phuong
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-mi_tinyroberta_effect_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-mi_tinyroberta_effect_pipeline_en.md
new file mode 100644
index 00000000000000..920e9b65ee88e8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-mi_tinyroberta_effect_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English mi_tinyroberta_effect_pipeline pipeline RoBertaForQuestionAnswering from Juncodh
+author: John Snow Labs
+name: mi_tinyroberta_effect_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mi_tinyroberta_effect_pipeline` is a English model originally trained by Juncodh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mi_tinyroberta_effect_pipeline_en_5.5.0_3.0_1726036359216.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mi_tinyroberta_effect_pipeline_en_5.5.0_3.0_1726036359216.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mi_tinyroberta_effect_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mi_tinyroberta_effect_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mi_tinyroberta_effect_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/mi_tinyROBERTA_effect
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-model_opus_maltese_english_multiple_languages_finetuned_en.md b/docs/_posts/ahmedlone127/2024-09-11-model_opus_maltese_english_multiple_languages_finetuned_en.md
new file mode 100644
index 00000000000000..9ae8608769a394
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-model_opus_maltese_english_multiple_languages_finetuned_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English model_opus_maltese_english_multiple_languages_finetuned MarianTransformer from Miguelcj1
+author: John Snow Labs
+name: model_opus_maltese_english_multiple_languages_finetuned
+date: 2024-09-11
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`model_opus_maltese_english_multiple_languages_finetuned` is a English model originally trained by Miguelcj1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_opus_maltese_english_multiple_languages_finetuned_en_5.5.0_3.0_1726037391629.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_opus_maltese_english_multiple_languages_finetuned_en_5.5.0_3.0_1726037391629.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ner_multilingual_bert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|xx|
+|Size:|665.1 MB|
+
+## References
+
+https://huggingface.co/textminr/ner-multilingual-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-nli_roberta_base_finetuned_for_amazon_review_ratings_ahkrey_en.md b/docs/_posts/ahmedlone127/2024-09-11-nli_roberta_base_finetuned_for_amazon_review_ratings_ahkrey_en.md
new file mode 100644
index 00000000000000..1944aed12c3825
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-nli_roberta_base_finetuned_for_amazon_review_ratings_ahkrey_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English nli_roberta_base_finetuned_for_amazon_review_ratings_ahkrey RoBertaForSequenceClassification from ahkrey
+author: John Snow Labs
+name: nli_roberta_base_finetuned_for_amazon_review_ratings_ahkrey
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nli_roberta_base_finetuned_for_amazon_review_ratings_ahkrey` is a English model originally trained by ahkrey.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nli_roberta_base_finetuned_for_amazon_review_ratings_ahkrey_en_5.5.0_3.0_1726097055725.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nli_roberta_base_finetuned_for_amazon_review_ratings_ahkrey_en_5.5.0_3.0_1726097055725.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_enfr_ft_wang_2022|
+|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_enfr_FT_wang_2022
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-opus_big_lsp_aon_wce_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-opus_big_lsp_aon_wce_pipeline_en.md
new file mode 100644
index 00000000000000..f13d9c30d6d7dc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-opus_big_lsp_aon_wce_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_big_lsp_aon_wce_pipeline pipeline MarianTransformer from ethansimrm
+author: John Snow Labs
+name: opus_big_lsp_aon_wce_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_big_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_big_lsp_aon_wce_pipeline_en_5.5.0_3.0_1726049236175.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_big_lsp_aon_wce_pipeline_en_5.5.0_3.0_1726049236175.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_big_lsp_aon_wce_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_big_lsp_aon_wce_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_big_lsp_aon_wce_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/ethansimrm/opus_big_lsp_AoN_wce
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-opus_maltese_chinese_english_model_pipeline_zh.md b/docs/_posts/ahmedlone127/2024-09-11-opus_maltese_chinese_english_model_pipeline_zh.md
new file mode 100644
index 00000000000000..0a309e36d554ab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-opus_maltese_chinese_english_model_pipeline_zh.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Chinese opus_maltese_chinese_english_model_pipeline pipeline MarianTransformer from Varine
+author: John Snow Labs
+name: opus_maltese_chinese_english_model_pipeline
+date: 2024-09-11
+tags: [zh, open_source, pipeline, onnx]
+task: Translation
+language: zh
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_chinese_english_model_pipeline` is a Chinese model originally trained by Varine.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_chinese_english_model_pipeline_zh_5.5.0_3.0_1726073868429.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_chinese_english_model_pipeline_zh_5.5.0_3.0_1726073868429.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_model_pipeline", lang = "zh")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_chinese_english_model_pipeline", lang = "zh")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_chinese_english_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|zh|
+|Size:|539.8 MB|
+
+## References
+
+https://huggingface.co/Varine/opus-mt-zh-en-model
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-opus_maltese_english_arabic_finetuned_dummydata_10_10_arabic_tonga_tonga_islands_english_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-opus_maltese_english_arabic_finetuned_dummydata_10_10_arabic_tonga_tonga_islands_english_pipeline_en.md
new file mode 100644
index 00000000000000..aaa87821cd2751
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-opus_maltese_english_arabic_finetuned_dummydata_10_10_arabic_tonga_tonga_islands_english_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_english_arabic_finetuned_dummydata_10_10_arabic_tonga_tonga_islands_english_pipeline pipeline MarianTransformer from MaryaAI
+author: John Snow Labs
+name: opus_maltese_english_arabic_finetuned_dummydata_10_10_arabic_tonga_tonga_islands_english_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_arabic_finetuned_dummydata_10_10_arabic_tonga_tonga_islands_english_pipeline` is a English model originally trained by MaryaAI.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_arabic_finetuned_dummydata_10_10_arabic_tonga_tonga_islands_english_pipeline_en_5.5.0_3.0_1726074042180.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_arabic_finetuned_dummydata_10_10_arabic_tonga_tonga_islands_english_pipeline_en_5.5.0_3.0_1726074042180.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_finetuned_dummydata_10_10_arabic_tonga_tonga_islands_english_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_english_arabic_finetuned_dummydata_10_10_arabic_tonga_tonga_islands_english_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_arabic_finetuned_dummydata_10_10_arabic_tonga_tonga_islands_english_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|528.8 MB|
+
+## References
+
+https://huggingface.co/MaryaAI/opus-mt-en-ar-finetuned-dummyData-10-10-ar-to-en
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-opus_maltese_english_bkm_final_60_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-opus_maltese_english_bkm_final_60_pipeline_en.md
new file mode 100644
index 00000000000000..9c5c3a8cd3cef4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-opus_maltese_english_bkm_final_60_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_english_bkm_final_60_pipeline pipeline MarianTransformer from kalese
+author: John Snow Labs
+name: opus_maltese_english_bkm_final_60_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_bkm_final_60_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_final_60_pipeline_en_5.5.0_3.0_1726047504432.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_bkm_final_60_pipeline_en_5.5.0_3.0_1726047504432.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_final_60_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_english_bkm_final_60_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_bkm_final_60_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|508.9 MB|
+
+## References
+
+https://huggingface.co/kalese/opus-mt-en-bkm-Final-60
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_redpandaainlp_en.md b/docs/_posts/ahmedlone127/2024-09-11-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_redpandaainlp_en.md
new file mode 100644
index 00000000000000..b220a863a22f6b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_redpandaainlp_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_redpandaainlp MarianTransformer from RedPandaAINLP
+author: John Snow Labs
+name: opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_redpandaainlp
+date: 2024-09-11
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_redpandaainlp` is a English model originally trained by RedPandaAINLP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_redpandaainlp_en_5.5.0_3.0_1726038283308.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_redpandaainlp_en_5.5.0_3.0_1726038283308.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_redpandaainlp|
+|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/RedPandaAINLP/opus-mt-en-ro-finetuned-en-to-ro
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_rohan12_en.md b/docs/_posts/ahmedlone127/2024-09-11-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_rohan12_en.md
new file mode 100644
index 00000000000000..790f384ebaa2ce
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_rohan12_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_rohan12 MarianTransformer from rohan12
+author: John Snow Labs
+name: opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_rohan12
+date: 2024-09-11
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_rohan12` is a English model originally trained by rohan12.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_rohan12_en_5.5.0_3.0_1726049986655.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_rohan12_en_5.5.0_3.0_1726049986655.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_rohan12|
+|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/rohan12/opus-mt-en-ro-finetuned-en-to-ro
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_slimamel_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_slimamel_pipeline_en.md
new file mode 100644
index 00000000000000..b6ae11a632bf66
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_slimamel_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_slimamel_pipeline pipeline MarianTransformer from slimamel
+author: John Snow Labs
+name: opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_slimamel_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_slimamel_pipeline` is a English model originally trained by slimamel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_slimamel_pipeline_en_5.5.0_3.0_1726047390106.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_slimamel_pipeline_en_5.5.0_3.0_1726047390106.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_slimamel_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_slimamel_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_slimamel_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|509.1 MB|
+
+## References
+
+https://huggingface.co/slimamel/opus-mt-en-ro-finetuned-en-to-ro
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-opus_maltese_english_romanian_finetuned_german_tonga_tonga_islands_english_indra3199_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-opus_maltese_english_romanian_finetuned_german_tonga_tonga_islands_english_indra3199_pipeline_en.md
new file mode 100644
index 00000000000000..0cd75743946c6c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-opus_maltese_english_romanian_finetuned_german_tonga_tonga_islands_english_indra3199_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_english_romanian_finetuned_german_tonga_tonga_islands_english_indra3199_pipeline pipeline MarianTransformer from indra3199
+author: John Snow Labs
+name: opus_maltese_english_romanian_finetuned_german_tonga_tonga_islands_english_indra3199_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_romanian_finetuned_german_tonga_tonga_islands_english_indra3199_pipeline` is a English model originally trained by indra3199.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_german_tonga_tonga_islands_english_indra3199_pipeline_en_5.5.0_3.0_1726049855367.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_german_tonga_tonga_islands_english_indra3199_pipeline_en_5.5.0_3.0_1726049855367.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_english_romanian_finetuned_german_tonga_tonga_islands_english_indra3199_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_english_romanian_finetuned_german_tonga_tonga_islands_english_indra3199_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_romanian_finetuned_german_tonga_tonga_islands_english_indra3199_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|509.2 MB|
+
+## References
+
+https://huggingface.co/indra3199/opus-mt-en-ro-finetuned-de-to-en
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-opus_maltese_english_swahili_finetuned_english_tonga_tonga_islands_swahili_iaanimashaun_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-opus_maltese_english_swahili_finetuned_english_tonga_tonga_islands_swahili_iaanimashaun_pipeline_en.md
new file mode 100644
index 00000000000000..13ac1470ec2294
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-opus_maltese_english_swahili_finetuned_english_tonga_tonga_islands_swahili_iaanimashaun_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_english_swahili_finetuned_english_tonga_tonga_islands_swahili_iaanimashaun_pipeline pipeline MarianTransformer from iaanimashaun
+author: John Snow Labs
+name: opus_maltese_english_swahili_finetuned_english_tonga_tonga_islands_swahili_iaanimashaun_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_swahili_finetuned_english_tonga_tonga_islands_swahili_iaanimashaun_pipeline` is a English model originally trained by iaanimashaun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_swahili_finetuned_english_tonga_tonga_islands_swahili_iaanimashaun_pipeline_en_5.5.0_3.0_1726037836032.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_iaanimashaun_pipeline_en_5.5.0_3.0_1726037836032.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_english_swahili_finetuned_english_tonga_tonga_islands_swahili_iaanimashaun_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_english_swahili_finetuned_english_tonga_tonga_islands_swahili_iaanimashaun_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_swahili_finetuned_english_tonga_tonga_islands_swahili_iaanimashaun_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|507.0 MB|
+
+## References
+
+https://huggingface.co/iaanimashaun/opus-mt-en-sw-finetuned-en-to-sw
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-opus_maltese_ganda_english_finetuned_kirundi_tonga_tonga_islands_english_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-opus_maltese_ganda_english_finetuned_kirundi_tonga_tonga_islands_english_pipeline_en.md
new file mode 100644
index 00000000000000..f1f4209a16edd0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-opus_maltese_ganda_english_finetuned_kirundi_tonga_tonga_islands_english_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_ganda_english_finetuned_kirundi_tonga_tonga_islands_english_pipeline pipeline MarianTransformer from KitoEver
+author: John Snow Labs
+name: opus_maltese_ganda_english_finetuned_kirundi_tonga_tonga_islands_english_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_ganda_english_finetuned_kirundi_tonga_tonga_islands_english_pipeline` is a English model originally trained by KitoEver.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_ganda_english_finetuned_kirundi_tonga_tonga_islands_english_pipeline_en_5.5.0_3.0_1726038656353.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_ganda_english_finetuned_kirundi_tonga_tonga_islands_english_pipeline_en_5.5.0_3.0_1726038656353.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_ganda_english_finetuned_kirundi_tonga_tonga_islands_english_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_ganda_english_finetuned_kirundi_tonga_tonga_islands_english_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_ganda_english_finetuned_kirundi_tonga_tonga_islands_english_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|512.9 MB|
+
+## References
+
+https://huggingface.co/KitoEver/opus-mt-lg-en-finetuned-rn-to-en
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-opus_maltese_romance_english_finetuned_npomo_english_10_epochs_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-opus_maltese_romance_english_finetuned_npomo_english_10_epochs_pipeline_en.md
new file mode 100644
index 00000000000000..2409128f4a5165
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-opus_maltese_romance_english_finetuned_npomo_english_10_epochs_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_romance_english_finetuned_npomo_english_10_epochs_pipeline pipeline MarianTransformer from UnassumingOwl
+author: John Snow Labs
+name: opus_maltese_romance_english_finetuned_npomo_english_10_epochs_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_romance_english_finetuned_npomo_english_10_epochs_pipeline` is a English model originally trained by UnassumingOwl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_romance_english_finetuned_npomo_english_10_epochs_pipeline_en_5.5.0_3.0_1726047179811.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_romance_english_finetuned_npomo_english_10_epochs_pipeline_en_5.5.0_3.0_1726047179811.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_romance_english_finetuned_npomo_english_10_epochs_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_romance_english_finetuned_npomo_english_10_epochs_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_romance_english_finetuned_npomo_english_10_epochs_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|539.5 MB|
+
+## References
+
+https://huggingface.co/UnassumingOwl/opus-mt-ROMANCE-en-finetuned-npomo-en-10-epochs
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-opus_tatoeba_eng_yor_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-opus_tatoeba_eng_yor_pipeline_en.md
new file mode 100644
index 00000000000000..1e0bc22ee54870
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-opus_tatoeba_eng_yor_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_tatoeba_eng_yor_pipeline pipeline MarianTransformer from omoekan
+author: John Snow Labs
+name: opus_tatoeba_eng_yor_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_tatoeba_eng_yor_pipeline` is a English model originally trained by omoekan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_tatoeba_eng_yor_pipeline_en_5.5.0_3.0_1726038451398.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_tatoeba_eng_yor_pipeline_en_5.5.0_3.0_1726038451398.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_tatoeba_eng_yor_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_tatoeba_eng_yor_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_tatoeba_eng_yor_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|186.4 MB|
+
+## References
+
+https://huggingface.co/omoekan/opus-tatoeba-eng-yor
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-opus_wmt18_finetune_en.md b/docs/_posts/ahmedlone127/2024-09-11-opus_wmt18_finetune_en.md
new file mode 100644
index 00000000000000..88f0d8c8c08ba8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-opus_wmt18_finetune_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_wmt18_finetune MarianTransformer from nomsgadded
+author: John Snow Labs
+name: opus_wmt18_finetune
+date: 2024-09-11
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_wmt18_finetune` is a English model originally trained by nomsgadded.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_wmt18_finetune_en_5.5.0_3.0_1726038470896.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_wmt18_finetune_en_5.5.0_3.0_1726038470896.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_wmt18_finetune|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|541.2 MB|
+
+## References
+
+https://huggingface.co/nomsgadded/opus_wmt18_finetune
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-phishing_email_detection_21_07_en.md b/docs/_posts/ahmedlone127/2024-09-11-phishing_email_detection_21_07_en.md
new file mode 100644
index 00000000000000..9684a591b1eff5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-phishing_email_detection_21_07_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English phishing_email_detection_21_07 RoBertaForSequenceClassification from kamikaze20
+author: John Snow Labs
+name: phishing_email_detection_21_07
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`phishing_email_detection_21_07` is a English model originally trained by kamikaze20.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/phishing_email_detection_21_07_en_5.5.0_3.0_1726022539083.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/phishing_email_detection_21_07_en_5.5.0_3.0_1726022539083.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|phishing_email_detection_21_07|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|450.8 MB|
+
+## References
+
+https://huggingface.co/kamikaze20/phishing-email-detection_21_07
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-praise_feedback_en.md b/docs/_posts/ahmedlone127/2024-09-11-praise_feedback_en.md
new file mode 100644
index 00000000000000..a79048c4a191e6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-praise_feedback_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English praise_feedback RoBertaForSequenceClassification from meiflwr
+author: John Snow Labs
+name: praise_feedback
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`praise_feedback` is a English model originally trained by meiflwr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/praise_feedback_en_5.5.0_3.0_1726082460496.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/praise_feedback_en_5.5.0_3.0_1726082460496.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|q2e_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/q2e_5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-rbt4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-rbt4_pipeline_en.md
new file mode 100644
index 00000000000000..f39b9330a8dcac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-rbt4_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English rbt4_pipeline pipeline RoBertaForQuestionAnswering from SUTS102779289
+author: John Snow Labs
+name: rbt4_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rbt4_pipeline` is a English model originally trained by SUTS102779289.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rbt4_pipeline_en_5.5.0_3.0_1726055765663.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rbt4_pipeline_en_5.5.0_3.0_1726055765663.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("rbt4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("rbt4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rbt4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|463.6 MB|
+
+## References
+
+https://huggingface.co/SUTS102779289/rbt4
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-roberta_base_finetuned_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-roberta_base_finetuned_pipeline_en.md
new file mode 100644
index 00000000000000..a398bdf26fb724
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-roberta_base_finetuned_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_finetuned_pipeline pipeline RoBertaEmbeddings from GusNicho
+author: John Snow Labs
+name: roberta_base_finetuned_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_pipeline` is a English model originally trained by GusNicho.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_pipeline_en_5.5.0_3.0_1726065709755.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_pipeline_en_5.5.0_3.0_1726065709755.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_finetuned_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_finetuned_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.1 MB|
+
+## References
+
+https://huggingface.co/GusNicho/roberta-base-finetuned
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-roberta_base_finetuned_vedantgaur_human_generated_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-roberta_base_finetuned_vedantgaur_human_generated_pipeline_en.md
new file mode 100644
index 00000000000000..21bbf31342f109
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-roberta_base_finetuned_vedantgaur_human_generated_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_finetuned_vedantgaur_human_generated_pipeline pipeline RoBertaForSequenceClassification from SkwarczynskiP
+author: John Snow Labs
+name: roberta_base_finetuned_vedantgaur_human_generated_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_vedantgaur_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_vedantgaur_human_generated_pipeline_en_5.5.0_3.0_1726061148240.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_vedantgaur_human_generated_pipeline_en_5.5.0_3.0_1726061148240.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_finetuned_vedantgaur_human_generated_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_finetuned_vedantgaur_human_generated_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_vedantgaur_human_generated_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|417.1 MB|
+
+## References
+
+https://huggingface.co/SkwarczynskiP/roberta-base-finetuned-vedantgaur-human-generated
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-roberta_base_prop_16_train_set_scottstots_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-roberta_base_prop_16_train_set_scottstots_pipeline_en.md
new file mode 100644
index 00000000000000..346d0ddec7e65e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-roberta_base_prop_16_train_set_scottstots_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_prop_16_train_set_scottstots_pipeline pipeline RoBertaForSequenceClassification from scottstots
+author: John Snow Labs
+name: roberta_base_prop_16_train_set_scottstots_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_prop_16_train_set_scottstots_pipeline` is a English model originally trained by scottstots.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_prop_16_train_set_scottstots_pipeline_en_5.5.0_3.0_1726089706388.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_prop_16_train_set_scottstots_pipeline_en_5.5.0_3.0_1726089706388.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_prop_16_train_set_scottstots_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_prop_16_train_set_scottstots_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_prop_16_train_set_scottstots_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|417.4 MB|
+
+## References
+
+https://huggingface.co/scottstots/roberta-base-prop-16-train-set
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-roberta_base_text_classification_emotion_adamw_epochs_7_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-roberta_base_text_classification_emotion_adamw_epochs_7_pipeline_en.md
new file mode 100644
index 00000000000000..8e15d9144fa2b5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-roberta_base_text_classification_emotion_adamw_epochs_7_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_text_classification_emotion_adamw_epochs_7_pipeline pipeline RoBertaForSequenceClassification from galkowskim
+author: John Snow Labs
+name: roberta_base_text_classification_emotion_adamw_epochs_7_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_text_classification_emotion_adamw_epochs_7_pipeline` is a English model originally trained by galkowskim.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_text_classification_emotion_adamw_epochs_7_pipeline_en_5.5.0_3.0_1726061014567.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_text_classification_emotion_adamw_epochs_7_pipeline_en_5.5.0_3.0_1726061014567.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_text_classification_emotion_adamw_epochs_7_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_text_classification_emotion_adamw_epochs_7_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_text_classification_emotion_adamw_epochs_7_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|467.5 MB|
+
+## References
+
+https://huggingface.co/galkowskim/roberta-base-text-classification-emotion-adamw-epochs-7
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-roberta_base_turkish_uncased_turkcell_pipeline_tr.md b/docs/_posts/ahmedlone127/2024-09-11-roberta_base_turkish_uncased_turkcell_pipeline_tr.md
new file mode 100644
index 00000000000000..9285237f7fd937
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-roberta_base_turkish_uncased_turkcell_pipeline_tr.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Turkish roberta_base_turkish_uncased_turkcell_pipeline pipeline RoBertaEmbeddings from TURKCELL
+author: John Snow Labs
+name: roberta_base_turkish_uncased_turkcell_pipeline
+date: 2024-09-11
+tags: [tr, open_source, pipeline, onnx]
+task: Embeddings
+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 RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_turkish_uncased_turkcell_pipeline` is a Turkish model originally trained by TURKCELL.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_turkish_uncased_turkcell_pipeline_tr_5.5.0_3.0_1726024253882.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_turkish_uncased_turkcell_pipeline_tr_5.5.0_3.0_1726024253882.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_turkish_uncased_turkcell_pipeline", lang = "tr")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_turkish_uncased_turkcell_pipeline", lang = "tr")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_turkish_uncased_turkcell_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|tr|
+|Size:|461.5 MB|
+
+## References
+
+https://huggingface.co/TURKCELL/roberta-base-turkish-uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-roberta_cord19_1m7k_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-roberta_cord19_1m7k_pipeline_en.md
new file mode 100644
index 00000000000000..fa8bb25a5b70a0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-roberta_cord19_1m7k_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_cord19_1m7k_pipeline pipeline RoBertaEmbeddings from amoux
+author: John Snow Labs
+name: roberta_cord19_1m7k_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_cord19_1m7k_pipeline` is a English model originally trained by amoux.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_cord19_1m7k_pipeline_en_5.5.0_3.0_1726065986010.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_cord19_1m7k_pipeline_en_5.5.0_3.0_1726065986010.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_cord19_1m7k_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_cord19_1m7k_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_cord19_1m7k_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|365.0 MB|
+
+## References
+
+https://huggingface.co/amoux/roberta-cord19-1M7k
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-roberta_mrqa_plus_en.md b/docs/_posts/ahmedlone127/2024-09-11-roberta_mrqa_plus_en.md
new file mode 100644
index 00000000000000..31166d86d0c2e0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-roberta_mrqa_plus_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English roberta_mrqa_plus RoBertaForQuestionAnswering from enriquesaou
+author: John Snow Labs
+name: roberta_mrqa_plus
+date: 2024-09-11
+tags: [en, open_source, onnx, question_answering, roberta]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_mrqa_plus` is a English model originally trained by enriquesaou.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_mrqa_plus_en_5.5.0_3.0_1726036270186.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_mrqa_plus_en_5.5.0_3.0_1726036270186.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_mrqa_plus|
+|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/enriquesaou/roberta-mrqa-plus
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-roberta_temporal_predictor_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-roberta_temporal_predictor_pipeline_en.md
new file mode 100644
index 00000000000000..9a5e19c6bc6330
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-roberta_temporal_predictor_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_temporal_predictor_pipeline pipeline RoBertaEmbeddings from CogComp
+author: John Snow Labs
+name: roberta_temporal_predictor_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_temporal_predictor_pipeline` is a English model originally trained by CogComp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_temporal_predictor_pipeline_en_5.5.0_3.0_1726094163079.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_temporal_predictor_pipeline_en_5.5.0_3.0_1726094163079.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_temporal_predictor_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_temporal_predictor_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_temporal_predictor_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|465.8 MB|
+
+## References
+
+https://huggingface.co/CogComp/roberta-temporal-predictor
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-roberta_vmw_mrqa_old_en.md b/docs/_posts/ahmedlone127/2024-09-11-roberta_vmw_mrqa_old_en.md
new file mode 100644
index 00000000000000..d5837da2698c26
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-roberta_vmw_mrqa_old_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English roberta_vmw_mrqa_old RoBertaForQuestionAnswering from enriquesaou
+author: John Snow Labs
+name: roberta_vmw_mrqa_old
+date: 2024-09-11
+tags: [en, open_source, onnx, question_answering, roberta]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_vmw_mrqa_old` is a English model originally trained by enriquesaou.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_vmw_mrqa_old_en_5.5.0_3.0_1726036756395.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_vmw_mrqa_old_en_5.5.0_3.0_1726036756395.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_vmw_mrqa_old|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|466.2 MB|
+
+## References
+
+https://huggingface.co/enriquesaou/roberta-vmw-mrqa-old
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-romanian_finetuned_winogrande83e_058_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-romanian_finetuned_winogrande83e_058_pipeline_en.md
new file mode 100644
index 00000000000000..d2ea8ac2d57f87
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-romanian_finetuned_winogrande83e_058_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English romanian_finetuned_winogrande83e_058_pipeline pipeline RoBertaForSequenceClassification from Kalslice
+author: John Snow Labs
+name: romanian_finetuned_winogrande83e_058_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`romanian_finetuned_winogrande83e_058_pipeline` is a English model originally trained by Kalslice.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/romanian_finetuned_winogrande83e_058_pipeline_en_5.5.0_3.0_1726096333712.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/romanian_finetuned_winogrande83e_058_pipeline_en_5.5.0_3.0_1726096333712.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("romanian_finetuned_winogrande83e_058_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("romanian_finetuned_winogrande83e_058_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|romanian_finetuned_winogrande83e_058_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|441.0 MB|
+
+## References
+
+https://huggingface.co/Kalslice/ro-finetuned-winogrande83e-058
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-rtmex23_pol2_ptl_v5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-rtmex23_pol2_ptl_v5_pipeline_en.md
new file mode 100644
index 00000000000000..99648c14f61707
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-rtmex23_pol2_ptl_v5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English rtmex23_pol2_ptl_v5_pipeline pipeline RoBertaForSequenceClassification from javilonso
+author: John Snow Labs
+name: rtmex23_pol2_ptl_v5_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rtmex23_pol2_ptl_v5_pipeline` is a English model originally trained by javilonso.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rtmex23_pol2_ptl_v5_pipeline_en_5.5.0_3.0_1726082531249.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rtmex23_pol2_ptl_v5_pipeline_en_5.5.0_3.0_1726082531249.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("rtmex23_pol2_ptl_v5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("rtmex23_pol2_ptl_v5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rtmex23_pol2_ptl_v5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|463.7 MB|
+
+## References
+
+https://huggingface.co/javilonso/rtmex23-pol2-ptl_v5
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-ruspamns_v1_pipeline_ru.md b/docs/_posts/ahmedlone127/2024-09-11-ruspamns_v1_pipeline_ru.md
new file mode 100644
index 00000000000000..fc1765807e12e7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-ruspamns_v1_pipeline_ru.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Russian ruspamns_v1_pipeline pipeline BertForSequenceClassification from NeuroSpaceX
+author: John Snow Labs
+name: ruspamns_v1_pipeline
+date: 2024-09-11
+tags: [ru, open_source, pipeline, onnx]
+task: Text Classification
+language: ru
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ruspamns_v1_pipeline` is a Russian model originally trained by NeuroSpaceX.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ruspamns_v1_pipeline_ru_5.5.0_3.0_1726015207543.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ruspamns_v1_pipeline_ru_5.5.0_3.0_1726015207543.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ruspamns_v1_pipeline", lang = "ru")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ruspamns_v1_pipeline", lang = "ru")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ruspamns_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ru|
+|Size:|109.5 MB|
+
+## References
+
+https://huggingface.co/NeuroSpaceX/ruSpamNS_V1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-sanskrit_saskta_tweet_bert_large_e6_w1_1_5_b16_m4_en.md b/docs/_posts/ahmedlone127/2024-09-11-sanskrit_saskta_tweet_bert_large_e6_w1_1_5_b16_m4_en.md
new file mode 100644
index 00000000000000..0b47e6169d9506
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-sanskrit_saskta_tweet_bert_large_e6_w1_1_5_b16_m4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sanskrit_saskta_tweet_bert_large_e6_w1_1_5_b16_m4 RoBertaForSequenceClassification from JerryYanJiang
+author: John Snow Labs
+name: sanskrit_saskta_tweet_bert_large_e6_w1_1_5_b16_m4
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sanskrit_saskta_tweet_bert_large_e6_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_tweet_bert_large_e6_w1_1_5_b16_m4_en_5.5.0_3.0_1726061287521.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sanskrit_saskta_tweet_bert_large_e6_w1_1_5_b16_m4_en_5.5.0_3.0_1726061287521.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_tweet_bert_large_e6_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-tweet-bert-large-e6-w1-1.5-b16-m4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-sanskrit_saskta_tweet_bert_large_e6_w1_1_5_b16_m4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-sanskrit_saskta_tweet_bert_large_e6_w1_1_5_b16_m4_pipeline_en.md
new file mode 100644
index 00000000000000..b03449fdb8dbee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-sanskrit_saskta_tweet_bert_large_e6_w1_1_5_b16_m4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sanskrit_saskta_tweet_bert_large_e6_w1_1_5_b16_m4_pipeline pipeline RoBertaForSequenceClassification from JerryYanJiang
+author: John Snow Labs
+name: sanskrit_saskta_tweet_bert_large_e6_w1_1_5_b16_m4_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sanskrit_saskta_tweet_bert_large_e6_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_tweet_bert_large_e6_w1_1_5_b16_m4_pipeline_en_5.5.0_3.0_1726061354934.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sanskrit_saskta_tweet_bert_large_e6_w1_1_5_b16_m4_pipeline_en_5.5.0_3.0_1726061354934.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sanskrit_saskta_tweet_bert_large_e6_w1_1_5_b16_m4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sanskrit_saskta_tweet_bert_large_e6_w1_1_5_b16_m4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sanskrit_saskta_tweet_bert_large_e6_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-tweet-bert-large-e6-w1-1.5-b16-m4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-saved_model_body_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-saved_model_body_pipeline_en.md
new file mode 100644
index 00000000000000..ada27cd4b79022
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-saved_model_body_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English saved_model_body_pipeline pipeline RoBertaForSequenceClassification from Akhil0-o
+author: John Snow Labs
+name: saved_model_body_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`saved_model_body_pipeline` is a English model originally trained by Akhil0-o.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/saved_model_body_pipeline_en_5.5.0_3.0_1726060843216.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/saved_model_body_pipeline_en_5.5.0_3.0_1726060843216.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("saved_model_body_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("saved_model_body_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|saved_model_body_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|444.0 MB|
+
+## References
+
+https://huggingface.co/Akhil0-o/saved_model_body
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-sent_bert_base_multilingual_cased_finetuned_hausa_xx.md b/docs/_posts/ahmedlone127/2024-09-11-sent_bert_base_multilingual_cased_finetuned_hausa_xx.md
new file mode 100644
index 00000000000000..342d129847cc92
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-sent_bert_base_multilingual_cased_finetuned_hausa_xx.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Multilingual sent_bert_base_multilingual_cased_finetuned_hausa BertSentenceEmbeddings from Davlan
+author: John Snow Labs
+name: sent_bert_base_multilingual_cased_finetuned_hausa
+date: 2024-09-11
+tags: [xx, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: xx
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_multilingual_cased_finetuned_hausa` is a Multilingual model originally trained by Davlan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_multilingual_cased_finetuned_hausa_xx_5.5.0_3.0_1726056548655.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_multilingual_cased_finetuned_hausa_xx_5.5.0_3.0_1726056548655.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_multilingual_cased_finetuned_hausa|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|xx|
+|Size:|664.4 MB|
+
+## References
+
+https://huggingface.co/Davlan/bert-base-multilingual-cased-finetuned-hausa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-sentiment_roberta_e6_b16_v2_w0_01_en.md b/docs/_posts/ahmedlone127/2024-09-11-sentiment_roberta_e6_b16_v2_w0_01_en.md
new file mode 100644
index 00000000000000..3b9c3d73fc0533
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-sentiment_roberta_e6_b16_v2_w0_01_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sentiment_roberta_e6_b16_v2_w0_01 RoBertaForSequenceClassification from JerryYanJiang
+author: John Snow Labs
+name: sentiment_roberta_e6_b16_v2_w0_01
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_roberta_e6_b16_v2_w0_01` is a English model originally trained by JerryYanJiang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_roberta_e6_b16_v2_w0_01_en_5.5.0_3.0_1726082404079.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_roberta_e6_b16_v2_w0_01_en_5.5.0_3.0_1726082404079.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_roberta_e6_b16_v2_w0_01|
+|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-roberta-e6-b16-v2-w0.01
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-sentiment_roberta_twitter_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-sentiment_roberta_twitter_pipeline_en.md
new file mode 100644
index 00000000000000..4d4db239da7d96
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-sentiment_roberta_twitter_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sentiment_roberta_twitter_pipeline pipeline RoBertaForSequenceClassification from researchworkai
+author: John Snow Labs
+name: sentiment_roberta_twitter_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_roberta_twitter_pipeline` is a English model originally trained by researchworkai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_roberta_twitter_pipeline_en_5.5.0_3.0_1726022740724.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_roberta_twitter_pipeline_en_5.5.0_3.0_1726022740724.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sentiment_roberta_twitter_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sentiment_roberta_twitter_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sentiment_roberta_twitter_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.2 MB|
+
+## References
+
+https://huggingface.co/researchworkai/Sentiment-roBERTa-Twitter
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-setfit_industry_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-setfit_industry_pipeline_en.md
new file mode 100644
index 00000000000000..e8e7e27c983022
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-setfit_industry_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English setfit_industry_pipeline pipeline MPNetEmbeddings from BahaArfaoui
+author: John Snow Labs
+name: setfit_industry_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MPNetEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`setfit_industry_pipeline` is a English model originally trained by BahaArfaoui.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/setfit_industry_pipeline_en_5.5.0_3.0_1726089213572.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/setfit_industry_pipeline_en_5.5.0_3.0_1726089213572.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("setfit_industry_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("setfit_industry_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|setfit_industry_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/BahaArfaoui/setfit_industry
+
+## Included Models
+
+- DocumentAssembler
+- MPNetEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-stego_classifier_checkpoint_epoch_30_2024_07_26_14_26_52_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-stego_classifier_checkpoint_epoch_30_2024_07_26_14_26_52_pipeline_en.md
new file mode 100644
index 00000000000000..4f4307d3899d01
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-stego_classifier_checkpoint_epoch_30_2024_07_26_14_26_52_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English stego_classifier_checkpoint_epoch_30_2024_07_26_14_26_52_pipeline pipeline DistilBertForSequenceClassification from jvelja
+author: John Snow Labs
+name: stego_classifier_checkpoint_epoch_30_2024_07_26_14_26_52_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`stego_classifier_checkpoint_epoch_30_2024_07_26_14_26_52_pipeline` is a English model originally trained by jvelja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_30_2024_07_26_14_26_52_pipeline_en_5.5.0_3.0_1726051935281.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_30_2024_07_26_14_26_52_pipeline_en_5.5.0_3.0_1726051935281.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("stego_classifier_checkpoint_epoch_30_2024_07_26_14_26_52_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("stego_classifier_checkpoint_epoch_30_2024_07_26_14_26_52_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stego_classifier_checkpoint_epoch_30_2024_07_26_14_26_52_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jvelja/stego-classifier-checkpoint-epoch-30-2024-07-26_14-26-52
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-ternary_persian_sentiment_analysis_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-ternary_persian_sentiment_analysis_pipeline_en.md
new file mode 100644
index 00000000000000..d42b9df67d3935
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-ternary_persian_sentiment_analysis_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ternary_persian_sentiment_analysis_pipeline pipeline BertForSequenceClassification from rezaFarsh
+author: John Snow Labs
+name: ternary_persian_sentiment_analysis_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ternary_persian_sentiment_analysis_pipeline` is a English model originally trained by rezaFarsh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ternary_persian_sentiment_analysis_pipeline_en_5.5.0_3.0_1726095437557.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ternary_persian_sentiment_analysis_pipeline_en_5.5.0_3.0_1726095437557.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ternary_persian_sentiment_analysis_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ternary_persian_sentiment_analysis_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ternary_persian_sentiment_analysis_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.8 GB|
+
+## References
+
+https://huggingface.co/rezaFarsh/ternary_persian_sentiment_analysis
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-teroberta_en.md b/docs/_posts/ahmedlone127/2024-09-11-teroberta_en.md
new file mode 100644
index 00000000000000..f413a3ca76b54b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-teroberta_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English teroberta RoBertaEmbeddings from subbareddyiiit
+author: John Snow Labs
+name: teroberta
+date: 2024-09-11
+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.`teroberta` is a English model originally trained by subbareddyiiit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/teroberta_en_5.5.0_3.0_1726031871722.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/teroberta_en_5.5.0_3.0_1726031871722.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_cwyhenry|
+|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/cwyhenry/test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-traineddistilbert_en.md b/docs/_posts/ahmedlone127/2024-09-11-traineddistilbert_en.md
new file mode 100644
index 00000000000000..2bdae4ac3ad514
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-traineddistilbert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English traineddistilbert DistilBertForTokenClassification from BetterCartAnalytics
+author: John Snow Labs
+name: traineddistilbert
+date: 2024-09-11
+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.`traineddistilbert` is a English model originally trained by BetterCartAnalytics.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/traineddistilbert_en_5.5.0_3.0_1726048768759.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/traineddistilbert_en_5.5.0_3.0_1726048768759.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|traineddistilbert|
+|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/BetterCartAnalytics/TrainedDistilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-transfer_course_distilroberta_base_mrpc_glue_nestor_mamani_en.md b/docs/_posts/ahmedlone127/2024-09-11-transfer_course_distilroberta_base_mrpc_glue_nestor_mamani_en.md
new file mode 100644
index 00000000000000..1bef28bfaa9260
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-transfer_course_distilroberta_base_mrpc_glue_nestor_mamani_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English transfer_course_distilroberta_base_mrpc_glue_nestor_mamani RoBertaForSequenceClassification from platzi
+author: John Snow Labs
+name: transfer_course_distilroberta_base_mrpc_glue_nestor_mamani
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`transfer_course_distilroberta_base_mrpc_glue_nestor_mamani` is a English model originally trained by platzi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/transfer_course_distilroberta_base_mrpc_glue_nestor_mamani_en_5.5.0_3.0_1726082209363.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/transfer_course_distilroberta_base_mrpc_glue_nestor_mamani_en_5.5.0_3.0_1726082209363.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tswana_final_all_mpnet_base_v2|
+|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/alicekwak/TN-final-all-mpnet-base-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-twitter_roberta_base_sentiment_gunkaynar_en.md b/docs/_posts/ahmedlone127/2024-09-11-twitter_roberta_base_sentiment_gunkaynar_en.md
new file mode 100644
index 00000000000000..4b19dc51cfd399
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-twitter_roberta_base_sentiment_gunkaynar_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English twitter_roberta_base_sentiment_gunkaynar RoBertaForSequenceClassification from gunkaynar
+author: John Snow Labs
+name: twitter_roberta_base_sentiment_gunkaynar
+date: 2024-09-11
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_sentiment_gunkaynar` is a English model originally trained by gunkaynar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_sentiment_gunkaynar_en_5.5.0_3.0_1726062973632.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_sentiment_gunkaynar_en_5.5.0_3.0_1726062973632.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_gunkaynar|
+|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/gunkaynar/twitter-roberta-base-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-twitter_sentiment_analysis_roberta_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-twitter_sentiment_analysis_roberta_model_pipeline_en.md
new file mode 100644
index 00000000000000..189475e939b8d0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-twitter_sentiment_analysis_roberta_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English twitter_sentiment_analysis_roberta_model_pipeline pipeline RoBertaForSequenceClassification from lindaclara22
+author: John Snow Labs
+name: twitter_sentiment_analysis_roberta_model_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_sentiment_analysis_roberta_model_pipeline` is a English model originally trained by lindaclara22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_sentiment_analysis_roberta_model_pipeline_en_5.5.0_3.0_1726062857255.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_sentiment_analysis_roberta_model_pipeline_en_5.5.0_3.0_1726062857255.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("twitter_sentiment_analysis_roberta_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("twitter_sentiment_analysis_roberta_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_sentiment_analysis_roberta_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|436.3 MB|
+
+## References
+
+https://huggingface.co/lindaclara22/twitter-sentiment-analysis-roberta-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-xlm_roberta_base_finetuned_panx_all_scionk_en.md b/docs/_posts/ahmedlone127/2024-09-11-xlm_roberta_base_finetuned_panx_all_scionk_en.md
new file mode 100644
index 00000000000000..7785a73f9703d2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-xlm_roberta_base_finetuned_panx_all_scionk_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_all_scionk XlmRoBertaForTokenClassification from scionk
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_all_scionk
+date: 2024-09-11
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_all_scionk` is a English model originally trained by scionk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_scionk_en_5.5.0_3.0_1726067712266.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_scionk_en_5.5.0_3.0_1726067712266.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_scionk|
+|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/scionk/xlm-roberta-base-finetuned-panx-all
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-xlm_roberta_base_finetuned_panx_french_huggingbase_en.md b/docs/_posts/ahmedlone127/2024-09-11-xlm_roberta_base_finetuned_panx_french_huggingbase_en.md
new file mode 100644
index 00000000000000..c83836bbff030d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-xlm_roberta_base_finetuned_panx_french_huggingbase_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_huggingbase XlmRoBertaForTokenClassification from huggingbase
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_huggingbase
+date: 2024-09-11
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_huggingbase` is a English model originally trained by huggingbase.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_huggingbase_en_5.5.0_3.0_1726068591261.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_huggingbase_en_5.5.0_3.0_1726068591261.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_huggingbase|
+|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/huggingbase/xlm-roberta-base-finetuned-panx-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-xlm_roberta_base_finetuned_panx_french_huggingbase_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-xlm_roberta_base_finetuned_panx_french_huggingbase_pipeline_en.md
new file mode 100644
index 00000000000000..c9c97201005737
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-xlm_roberta_base_finetuned_panx_french_huggingbase_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_huggingbase_pipeline pipeline XlmRoBertaForTokenClassification from huggingbase
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_huggingbase_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_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_french_huggingbase_pipeline_en_5.5.0_3.0_1726068670010.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_huggingbase_pipeline_en_5.5.0_3.0_1726068670010.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_huggingbase_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_huggingbase_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_huggingbase_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|840.9 MB|
+
+## References
+
+https://huggingface.co/huggingbase/xlm-roberta-base-finetuned-panx-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-xlm_roberta_base_finetuned_panx_french_sungkwangjoong_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-xlm_roberta_base_finetuned_panx_french_sungkwangjoong_pipeline_en.md
new file mode 100644
index 00000000000000..cde798e6a247a7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-xlm_roberta_base_finetuned_panx_french_sungkwangjoong_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_sungkwangjoong_pipeline pipeline XlmRoBertaForTokenClassification from sungkwangjoong
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_sungkwangjoong_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_sungkwangjoong_pipeline` is a English model originally trained by sungkwangjoong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_sungkwangjoong_pipeline_en_5.5.0_3.0_1726086504579.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_sungkwangjoong_pipeline_en_5.5.0_3.0_1726086504579.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_sungkwangjoong_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_sungkwangjoong_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_sungkwangjoong_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|827.9 MB|
+
+## References
+
+https://huggingface.co/sungkwangjoong/xlm-roberta-base-finetuned-panx-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-xlm_roberta_base_finetuned_panx_german_french_chris_choi_en.md b/docs/_posts/ahmedlone127/2024-09-11-xlm_roberta_base_finetuned_panx_german_french_chris_choi_en.md
new file mode 100644
index 00000000000000..c37a483a7a35ea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-xlm_roberta_base_finetuned_panx_german_french_chris_choi_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_chris_choi XlmRoBertaForTokenClassification from Chris-choi
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_chris_choi
+date: 2024-09-11
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_chris_choi` is a English model originally trained by Chris-choi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_chris_choi_en_5.5.0_3.0_1726079179032.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_chris_choi_en_5.5.0_3.0_1726079179032.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_chris_choi|
+|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/Chris-choi/xlm-roberta-base-finetuned-panx-de-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-xlm_roberta_base_finetuned_panx_german_thaint_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-xlm_roberta_base_finetuned_panx_german_thaint_pipeline_en.md
new file mode 100644
index 00000000000000..43806e93a1a6f8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-xlm_roberta_base_finetuned_panx_german_thaint_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_thaint_pipeline pipeline XlmRoBertaForTokenClassification from thaint
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_thaint_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_thaint_pipeline` is a English model originally trained by thaint.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_thaint_pipeline_en_5.5.0_3.0_1726079036752.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_thaint_pipeline_en_5.5.0_3.0_1726079036752.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_thaint_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_thaint_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_thaint_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/thaint/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-xlm_roberta_base_mapa_coarse_ner_en.md b/docs/_posts/ahmedlone127/2024-09-11-xlm_roberta_base_mapa_coarse_ner_en.md
new file mode 100644
index 00000000000000..38842761e1e63a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-xlm_roberta_base_mapa_coarse_ner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_mapa_coarse_ner XlmRoBertaForTokenClassification from dmargutierrez
+author: John Snow Labs
+name: xlm_roberta_base_mapa_coarse_ner
+date: 2024-09-11
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_mapa_coarse_ner` is a English model originally trained by dmargutierrez.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_mapa_coarse_ner_en_5.5.0_3.0_1726077764978.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_mapa_coarse_ner_en_5.5.0_3.0_1726077764978.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_mapa_coarse_ner|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|522.8 MB|
+
+## References
+
+https://huggingface.co/dmargutierrez/xlm-roberta-base-mapa_coarse-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-11-zh2en20_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-11-zh2en20_pipeline_en.md
new file mode 100644
index 00000000000000..740368bbe73493
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-11-zh2en20_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English zh2en20_pipeline pipeline MarianTransformer from Carlosino
+author: John Snow Labs
+name: zh2en20_pipeline
+date: 2024-09-11
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`zh2en20_pipeline` is a English model originally trained by Carlosino.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/zh2en20_pipeline_en_5.5.0_3.0_1726038762656.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/zh2en20_pipeline_en_5.5.0_3.0_1726038762656.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("zh2en20_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("zh2en20_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|zh2en20_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|540.5 MB|
+
+## References
+
+https://huggingface.co/Carlosino/zh2en20
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-adapter_203_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-adapter_203_pipeline_en.md
new file mode 100644
index 00000000000000..df54f5b086ade5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-adapter_203_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English adapter_203_pipeline pipeline RoBertaForQuestionAnswering from kyone
+author: John Snow Labs
+name: adapter_203_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`adapter_203_pipeline` is a English model originally trained by kyone.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/adapter_203_pipeline_en_5.5.0_3.0_1726107052216.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/adapter_203_pipeline_en_5.5.0_3.0_1726107052216.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("adapter_203_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("adapter_203_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|adapter_203_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|463.3 MB|
+
+## References
+
+https://huggingface.co/kyone/adapter_203
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-ai_generated_text_detection_en.md b/docs/_posts/ahmedlone127/2024-09-12-ai_generated_text_detection_en.md
new file mode 100644
index 00000000000000..bae31fa17ec9a5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-ai_generated_text_detection_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ai_generated_text_detection BertForSequenceClassification from Juner
+author: John Snow Labs
+name: ai_generated_text_detection
+date: 2024-09-12
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ai_generated_text_detection` is a English model originally trained by Juner.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ai_generated_text_detection_en_5.5.0_3.0_1726181938327.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ai_generated_text_detection_en_5.5.0_3.0_1726181938327.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ai_generated_text_detection|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|383.2 MB|
+
+## References
+
+https://huggingface.co/Juner/AI-generated-text-detection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-ai_generated_text_detection_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-ai_generated_text_detection_pipeline_en.md
new file mode 100644
index 00000000000000..30962a05f671c2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-ai_generated_text_detection_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ai_generated_text_detection_pipeline pipeline BertForSequenceClassification from Juner
+author: John Snow Labs
+name: ai_generated_text_detection_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ai_generated_text_detection_pipeline` is a English model originally trained by Juner.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ai_generated_text_detection_pipeline_en_5.5.0_3.0_1726181956352.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ai_generated_text_detection_pipeline_en_5.5.0_3.0_1726181956352.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ai_generated_text_detection_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ai_generated_text_detection_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ai_generated_text_detection_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|383.2 MB|
+
+## References
+
+https://huggingface.co/Juner/AI-generated-text-detection
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-amharicqa_roberta_en.md b/docs/_posts/ahmedlone127/2024-09-12-amharicqa_roberta_en.md
new file mode 100644
index 00000000000000..d2686ac66a9fa4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-amharicqa_roberta_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English amharicqa_roberta RoBertaForQuestionAnswering from Gizachew
+author: John Snow Labs
+name: amharicqa_roberta
+date: 2024-09-12
+tags: [en, open_source, onnx, question_answering, roberta]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`amharicqa_roberta` is a English model originally trained by Gizachew.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/amharicqa_roberta_en_5.5.0_3.0_1726106679183.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/amharicqa_roberta_en_5.5.0_3.0_1726106679183.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|amharicqa_roberta|
+|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/Gizachew/AmharicQA-RoBERta
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-answer_equivalence_tiny_bert_zli12321_en.md b/docs/_posts/ahmedlone127/2024-09-12-answer_equivalence_tiny_bert_zli12321_en.md
new file mode 100644
index 00000000000000..24535926d923de
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-answer_equivalence_tiny_bert_zli12321_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English answer_equivalence_tiny_bert_zli12321 BertForSequenceClassification from zli12321
+author: John Snow Labs
+name: answer_equivalence_tiny_bert_zli12321
+date: 2024-09-12
+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.`answer_equivalence_tiny_bert_zli12321` is a English model originally trained by zli12321.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/answer_equivalence_tiny_bert_zli12321_en_5.5.0_3.0_1726123181941.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/answer_equivalence_tiny_bert_zli12321_en_5.5.0_3.0_1726123181941.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|answer_equivalence_tiny_bert_zli12321|
+|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/zli12321/answer_equivalence_tiny_bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-arabic_distilbert_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-arabic_distilbert_model_pipeline_en.md
new file mode 100644
index 00000000000000..e601037d40e05a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-arabic_distilbert_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English arabic_distilbert_model_pipeline pipeline BertForSequenceClassification from shahendaadel211
+author: John Snow Labs
+name: arabic_distilbert_model_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`arabic_distilbert_model_pipeline` is a English model originally trained by shahendaadel211.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/arabic_distilbert_model_pipeline_en_5.5.0_3.0_1726181892415.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/arabic_distilbert_model_pipeline_en_5.5.0_3.0_1726181892415.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("arabic_distilbert_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("arabic_distilbert_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|arabic_distilbert_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|43.6 MB|
+
+## References
+
+https://huggingface.co/shahendaadel211/arabic-distilbert-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-autotrain_emotion_detection_1366352626_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-autotrain_emotion_detection_1366352626_pipeline_en.md
new file mode 100644
index 00000000000000..98b5a831af815f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-autotrain_emotion_detection_1366352626_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English autotrain_emotion_detection_1366352626_pipeline pipeline BertForSequenceClassification from rahulmallah
+author: John Snow Labs
+name: autotrain_emotion_detection_1366352626_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_emotion_detection_1366352626_pipeline` is a English model originally trained by rahulmallah.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_emotion_detection_1366352626_pipeline_en_5.5.0_3.0_1726182096616.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_emotion_detection_1366352626_pipeline_en_5.5.0_3.0_1726182096616.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("autotrain_emotion_detection_1366352626_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("autotrain_emotion_detection_1366352626_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autotrain_emotion_detection_1366352626_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/rahulmallah/autotrain-emotion-detection-1366352626
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-babyberta_aochildes_2_5m_wikipedia1_2_5m_without_masking_seed6_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2024-09-12-babyberta_aochildes_2_5m_wikipedia1_2_5m_without_masking_seed6_finetuned_squad_en.md
new file mode 100644
index 00000000000000..dcb46f7c68cc97
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-babyberta_aochildes_2_5m_wikipedia1_2_5m_without_masking_seed6_finetuned_squad_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English babyberta_aochildes_2_5m_wikipedia1_2_5m_without_masking_seed6_finetuned_squad RoBertaForQuestionAnswering from lielbin
+author: John Snow Labs
+name: babyberta_aochildes_2_5m_wikipedia1_2_5m_without_masking_seed6_finetuned_squad
+date: 2024-09-12
+tags: [en, open_source, onnx, question_answering, roberta]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`babyberta_aochildes_2_5m_wikipedia1_2_5m_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_2_5m_wikipedia1_2_5m_without_masking_seed6_finetuned_squad_en_5.5.0_3.0_1726175870805.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/babyberta_aochildes_2_5m_wikipedia1_2_5m_without_masking_seed6_finetuned_squad_en_5.5.0_3.0_1726175870805.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_2_5m_wikipedia1_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_2.5M_wikipedia1_2.5M-without-Masking-seed6-finetuned-SQuAD
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-babyberta_aochildes_2_5m_wikipedia1_2_5m_without_masking_seed6_finetuned_squad_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-babyberta_aochildes_2_5m_wikipedia1_2_5m_without_masking_seed6_finetuned_squad_pipeline_en.md
new file mode 100644
index 00000000000000..437a1c88181e66
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-babyberta_aochildes_2_5m_wikipedia1_2_5m_without_masking_seed6_finetuned_squad_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English babyberta_aochildes_2_5m_wikipedia1_2_5m_without_masking_seed6_finetuned_squad_pipeline pipeline RoBertaForQuestionAnswering from lielbin
+author: John Snow Labs
+name: babyberta_aochildes_2_5m_wikipedia1_2_5m_without_masking_seed6_finetuned_squad_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`babyberta_aochildes_2_5m_wikipedia1_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_2_5m_wikipedia1_2_5m_without_masking_seed6_finetuned_squad_pipeline_en_5.5.0_3.0_1726175872789.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/babyberta_aochildes_2_5m_wikipedia1_2_5m_without_masking_seed6_finetuned_squad_pipeline_en_5.5.0_3.0_1726175872789.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("babyberta_aochildes_2_5m_wikipedia1_2_5m_without_masking_seed6_finetuned_squad_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("babyberta_aochildes_2_5m_wikipedia1_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_2_5m_wikipedia1_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_2.5M_wikipedia1_2.5M-without-Masking-seed6-finetuned-SQuAD
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-bert_base_arabic_emotion_analysis_v2_en.md b/docs/_posts/ahmedlone127/2024-09-12-bert_base_arabic_emotion_analysis_v2_en.md
new file mode 100644
index 00000000000000..aff1f3f9238c48
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-bert_base_arabic_emotion_analysis_v2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_arabic_emotion_analysis_v2 BertForSequenceClassification from alpcansoydas
+author: John Snow Labs
+name: bert_base_arabic_emotion_analysis_v2
+date: 2024-09-12
+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_arabic_emotion_analysis_v2` is a English model originally trained by alpcansoydas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_arabic_emotion_analysis_v2_en_5.5.0_3.0_1726181854542.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_arabic_emotion_analysis_v2_en_5.5.0_3.0_1726181854542.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_autotrain_sentiment_4_812425472|
+|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
+
+References
+
+- https://huggingface.co/charly/autotrain-sentiment-4-812425472
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-bert_corpus_ft_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-bert_corpus_ft_pipeline_en.md
new file mode 100644
index 00000000000000..ad1159478701af
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-bert_corpus_ft_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_corpus_ft_pipeline pipeline RoBertaEmbeddings from desarrolloasesoreslocales
+author: John Snow Labs
+name: bert_corpus_ft_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_corpus_ft_pipeline` is a English model originally trained by desarrolloasesoreslocales.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_corpus_ft_pipeline_en_5.5.0_3.0_1726113243794.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_corpus_ft_pipeline_en_5.5.0_3.0_1726113243794.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_corpus_ft_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_corpus_ft_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_corpus_ft_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|478.9 MB|
+
+## References
+
+https://huggingface.co/desarrolloasesoreslocales/bert-corpus-ft
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-bert_resume_classification_en.md b/docs/_posts/ahmedlone127/2024-09-12-bert_resume_classification_en.md
new file mode 100644
index 00000000000000..2800cdcbfdcc8a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-bert_resume_classification_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_resume_classification BertForSequenceClassification from ahmedheakl
+author: John Snow Labs
+name: bert_resume_classification
+date: 2024-09-12
+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_resume_classification` is a English model originally trained by ahmedheakl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_resume_classification_en_5.5.0_3.0_1726181879167.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_resume_classification_en_5.5.0_3.0_1726181879167.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_resume_classification|
+|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/ahmedheakl/bert-resume-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-bert_token_classifier_parsbert_armanner_pipeline_fa.md b/docs/_posts/ahmedlone127/2024-09-12-bert_token_classifier_parsbert_armanner_pipeline_fa.md
new file mode 100644
index 00000000000000..6400e4918d77cf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-bert_token_classifier_parsbert_armanner_pipeline_fa.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Persian bert_token_classifier_parsbert_armanner_pipeline pipeline BertForTokenClassification from HooshvareLab
+author: John Snow Labs
+name: bert_token_classifier_parsbert_armanner_pipeline
+date: 2024-09-12
+tags: [fa, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: fa
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_token_classifier_parsbert_armanner_pipeline` is a Persian model originally trained by HooshvareLab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_token_classifier_parsbert_armanner_pipeline_fa_5.5.0_3.0_1726174222716.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_token_classifier_parsbert_armanner_pipeline_fa_5.5.0_3.0_1726174222716.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_token_classifier_parsbert_armanner_pipeline", lang = "fa")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_token_classifier_parsbert_armanner_pipeline", lang = "fa")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_token_classifier_parsbert_armanner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|fa|
+|Size:|606.5 MB|
+
+## References
+
+https://huggingface.co/HooshvareLab/bert-base-parsbert-armanner-uncased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-boolq_microsoft_deberta_v3_base_seed_3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-boolq_microsoft_deberta_v3_base_seed_3_pipeline_en.md
new file mode 100644
index 00000000000000..93e938a71d8b8f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-boolq_microsoft_deberta_v3_base_seed_3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English boolq_microsoft_deberta_v3_base_seed_3_pipeline pipeline DeBertaForSequenceClassification from utahnlp
+author: John Snow Labs
+name: boolq_microsoft_deberta_v3_base_seed_3_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DeBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`boolq_microsoft_deberta_v3_base_seed_3_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_base_seed_3_pipeline_en_5.5.0_3.0_1726133395910.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/boolq_microsoft_deberta_v3_base_seed_3_pipeline_en_5.5.0_3.0_1726133395910.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_base_seed_3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("boolq_microsoft_deberta_v3_base_seed_3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|boolq_microsoft_deberta_v3_base_seed_3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|620.1 MB|
+
+## References
+
+https://huggingface.co/utahnlp/boolq_microsoft_deberta-v3-base_seed-3
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DeBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-burmese_awesome_model_willw9758_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-burmese_awesome_model_willw9758_pipeline_en.md
new file mode 100644
index 00000000000000..2f5da605d96aeb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-burmese_awesome_model_willw9758_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_willw9758_pipeline pipeline RoBertaForSequenceClassification from willw9758
+author: John Snow Labs
+name: burmese_awesome_model_willw9758_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_willw9758_pipeline` is a English model originally trained by willw9758.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_willw9758_pipeline_en_5.5.0_3.0_1726108372612.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_willw9758_pipeline_en_5.5.0_3.0_1726108372612.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_willw9758_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_willw9758_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_willw9758_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|463.1 MB|
+
+## References
+
+https://huggingface.co/willw9758/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-burmese_awesome_qa_model_perrysburg_knight_en.md b/docs/_posts/ahmedlone127/2024-09-12-burmese_awesome_qa_model_perrysburg_knight_en.md
new file mode 100644
index 00000000000000..e53539fd9cb41e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-burmese_awesome_qa_model_perrysburg_knight_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_perrysburg_knight DistilBertForQuestionAnswering from Perrysburg-Knight
+author: John Snow Labs
+name: burmese_awesome_qa_model_perrysburg_knight
+date: 2024-09-12
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_perrysburg_knight` is a English model originally trained by Perrysburg-Knight.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_perrysburg_knight_en_5.5.0_3.0_1726180489332.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_perrysburg_knight_en_5.5.0_3.0_1726180489332.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_razafridi088|
+|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/razafridi088/my_awesome_qa_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-burmese_awesome_qa_model_sritharansk_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-burmese_awesome_qa_model_sritharansk_pipeline_en.md
new file mode 100644
index 00000000000000..9b118763ea29b8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-burmese_awesome_qa_model_sritharansk_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_sritharansk_pipeline pipeline DistilBertForQuestionAnswering from sritharansk
+author: John Snow Labs
+name: burmese_awesome_qa_model_sritharansk_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_sritharansk_pipeline` is a English model originally trained by sritharansk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_sritharansk_pipeline_en_5.5.0_3.0_1726180487727.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_sritharansk_pipeline_en_5.5.0_3.0_1726180487727.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_sritharansk_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_qa_model_sritharansk_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_sritharansk_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/sritharansk/my_awesome_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-datosw_v1_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-datosw_v1_2_pipeline_en.md
new file mode 100644
index 00000000000000..6aed8042ebacd9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-datosw_v1_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English datosw_v1_2_pipeline pipeline MarianTransformer from ZcepZtar
+author: John Snow Labs
+name: datosw_v1_2_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`datosw_v1_2_pipeline` is a English model originally trained by ZcepZtar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/datosw_v1_2_pipeline_en_5.5.0_3.0_1726111196157.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/datosw_v1_2_pipeline_en_5.5.0_3.0_1726111196157.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("datosw_v1_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("datosw_v1_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|datosw_v1_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|504.8 MB|
+
+## References
+
+https://huggingface.co/ZcepZtar/DaToSw_V1.2
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1_plprefix0stlarge13_simsp_en.md b/docs/_posts/ahmedlone127/2024-09-12-distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1_plprefix0stlarge13_simsp_en.md
new file mode 100644
index 00000000000000..b1c006cd1328c8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1_plprefix0stlarge13_simsp_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1_plprefix0stlarge13_simsp DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1_plprefix0stlarge13_simsp
+date: 2024-09-12
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1_plprefix0stlarge13_simsp` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1_plprefix0stlarge13_simsp_en_5.5.0_3.0_1726100372422.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st42sd_ut72ut1_plprefix0stlarge13_simsp_en_5.5.0_3.0_1726100372422.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dken|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|504.6 MB|
+
+## References
+
+https://huggingface.co/joneikholm/dken
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-finetuned_twitter_targeted_insult_roberta_en.md b/docs/_posts/ahmedlone127/2024-09-12-finetuned_twitter_targeted_insult_roberta_en.md
new file mode 100644
index 00000000000000..bf4b2eca170d4d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-finetuned_twitter_targeted_insult_roberta_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuned_twitter_targeted_insult_roberta XlmRoBertaForSequenceClassification from coderSounak
+author: John Snow Labs
+name: finetuned_twitter_targeted_insult_roberta
+date: 2024-09-12
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_twitter_targeted_insult_roberta` is a English model originally trained by coderSounak.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_twitter_targeted_insult_roberta_en_5.5.0_3.0_1726147342244.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_twitter_targeted_insult_roberta_en_5.5.0_3.0_1726147342244.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_twitter_targeted_insult_roberta|
+|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/coderSounak/finetuned_twitter_targeted_insult_roberta
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-finetuning_emotion_model_surajmahapatra_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-finetuning_emotion_model_surajmahapatra_pipeline_en.md
new file mode 100644
index 00000000000000..e5adcca992b83e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-finetuning_emotion_model_surajmahapatra_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_emotion_model_surajmahapatra_pipeline pipeline DistilBertForSequenceClassification from SurajMahapatra
+author: John Snow Labs
+name: finetuning_emotion_model_surajmahapatra_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_emotion_model_surajmahapatra_pipeline` is a English model originally trained by SurajMahapatra.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_emotion_model_surajmahapatra_pipeline_en_5.5.0_3.0_1726100121414.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_emotion_model_surajmahapatra_pipeline_en_5.5.0_3.0_1726100121414.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_emotion_model_surajmahapatra_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_emotion_model_surajmahapatra_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_emotion_model_surajmahapatra_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SurajMahapatra/finetuning-emotion-model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-finetuning_segment_model_3000_samples_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-finetuning_segment_model_3000_samples_pipeline_en.md
new file mode 100644
index 00000000000000..30dfc855417646
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-finetuning_segment_model_3000_samples_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_segment_model_3000_samples_pipeline pipeline DistilBertForSequenceClassification from MattiaCampanella1993
+author: John Snow Labs
+name: finetuning_segment_model_3000_samples_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_segment_model_3000_samples_pipeline` is a English model originally trained by MattiaCampanella1993.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_segment_model_3000_samples_pipeline_en_5.5.0_3.0_1726124781847.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_segment_model_3000_samples_pipeline_en_5.5.0_3.0_1726124781847.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_segment_model_3000_samples_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_segment_model_3000_samples_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_segment_model_3000_samples_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/MattiaCampanella1993/finetuning-segment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-first_qa_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-first_qa_model_pipeline_en.md
new file mode 100644
index 00000000000000..85251780d489c6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-first_qa_model_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English first_qa_model_pipeline pipeline DistilBertForQuestionAnswering from hklair
+author: John Snow Labs
+name: first_qa_model_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`first_qa_model_pipeline` is a English model originally trained by hklair.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/first_qa_model_pipeline_en_5.5.0_3.0_1726180185784.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/first_qa_model_pipeline_en_5.5.0_3.0_1726180185784.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("first_qa_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("first_qa_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|first_qa_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/hklair/first_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-flat_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-flat_model_pipeline_en.md
new file mode 100644
index 00000000000000..7a100c730ead21
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-flat_model_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English flat_model_pipeline pipeline DistilBertForQuestionAnswering from rugvedabodke
+author: John Snow Labs
+name: flat_model_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`flat_model_pipeline` is a English model originally trained by rugvedabodke.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/flat_model_pipeline_en_5.5.0_3.0_1726180586813.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/flat_model_pipeline_en_5.5.0_3.0_1726180586813.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("flat_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("flat_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|flat_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/rugvedabodke/flat_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-gal_ner_xlmr_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-gal_ner_xlmr_2_pipeline_en.md
new file mode 100644
index 00000000000000..d515b8db00f7cf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-gal_ner_xlmr_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English gal_ner_xlmr_2_pipeline pipeline XlmRoBertaForTokenClassification from homersimpson
+author: John Snow Labs
+name: gal_ner_xlmr_2_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`gal_ner_xlmr_2_pipeline` is a English model originally trained by homersimpson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gal_ner_xlmr_2_pipeline_en_5.5.0_3.0_1726131307420.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gal_ner_xlmr_2_pipeline_en_5.5.0_3.0_1726131307420.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("gal_ner_xlmr_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("gal_ner_xlmr_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gal_ner_xlmr_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|808.7 MB|
+
+## References
+
+https://huggingface.co/homersimpson/gal-ner-xlmr-2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-german_tonga_tonga_islands_english_en.md b/docs/_posts/ahmedlone127/2024-09-12-german_tonga_tonga_islands_english_en.md
new file mode 100644
index 00000000000000..0947fb22462af4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-german_tonga_tonga_islands_english_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English german_tonga_tonga_islands_english MarianTransformer from gouravsinha
+author: John Snow Labs
+name: german_tonga_tonga_islands_english
+date: 2024-09-12
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`german_tonga_tonga_islands_english` is a English model originally trained by gouravsinha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/german_tonga_tonga_islands_english_en_5.5.0_3.0_1726110593604.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/german_tonga_tonga_islands_english_en_5.5.0_3.0_1726110593604.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|german_tonga_tonga_islands_english|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|499.4 MB|
+
+## References
+
+https://huggingface.co/gouravsinha/german_to_english
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-hate_hate_balance_random3_seed0_twitter_roberta_base_2021_124m_en.md b/docs/_posts/ahmedlone127/2024-09-12-hate_hate_balance_random3_seed0_twitter_roberta_base_2021_124m_en.md
new file mode 100644
index 00000000000000..9409a88c06642f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-hate_hate_balance_random3_seed0_twitter_roberta_base_2021_124m_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English hate_hate_balance_random3_seed0_twitter_roberta_base_2021_124m RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: hate_hate_balance_random3_seed0_twitter_roberta_base_2021_124m
+date: 2024-09-12
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_hate_balance_random3_seed0_twitter_roberta_base_2021_124m` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_hate_balance_random3_seed0_twitter_roberta_base_2021_124m_en_5.5.0_3.0_1726117886460.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_hate_balance_random3_seed0_twitter_roberta_base_2021_124m_en_5.5.0_3.0_1726117886460.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_hate_balance_random3_seed0_twitter_roberta_base_2021_124m|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/hate-hate_balance_random3_seed0-twitter-roberta-base-2021-124m
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-italian_emotion_analyzer_it.md b/docs/_posts/ahmedlone127/2024-09-12-italian_emotion_analyzer_it.md
new file mode 100644
index 00000000000000..52b07577997710
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-italian_emotion_analyzer_it.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Italian italian_emotion_analyzer BertForSequenceClassification from aiknowyou
+author: John Snow Labs
+name: italian_emotion_analyzer
+date: 2024-09-12
+tags: [it, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: it
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`italian_emotion_analyzer` is a Italian model originally trained by aiknowyou.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/italian_emotion_analyzer_it_5.5.0_3.0_1726104510722.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/italian_emotion_analyzer_it_5.5.0_3.0_1726104510722.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lab1_random_bill1886|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|509.8 MB|
+
+## References
+
+https://huggingface.co/bill1886/lab1_random
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-lenu_us_ma_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-lenu_us_ma_pipeline_en.md
new file mode 100644
index 00000000000000..0bdb9723fa871b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-lenu_us_ma_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English lenu_us_ma_pipeline pipeline BertForSequenceClassification from Sociovestix
+author: John Snow Labs
+name: lenu_us_ma_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`lenu_us_ma_pipeline` is a English model originally trained by Sociovestix.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lenu_us_ma_pipeline_en_5.5.0_3.0_1726123261499.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lenu_us_ma_pipeline_en_5.5.0_3.0_1726123261499.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("lenu_us_ma_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("lenu_us_ma_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lenu_us_ma_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|627.8 MB|
+
+## References
+
+https://huggingface.co/Sociovestix/lenu_US-MA
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-marian_finetuned_kde4_english_tonga_tonga_islands_chinese_twi_accelerate_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-marian_finetuned_kde4_english_tonga_tonga_islands_chinese_twi_accelerate_pipeline_en.md
new file mode 100644
index 00000000000000..05c3c2185561ba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-marian_finetuned_kde4_english_tonga_tonga_islands_chinese_twi_accelerate_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_chinese_twi_accelerate_pipeline pipeline MarianTransformer from e1879
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_chinese_twi_accelerate_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_tonga_tonga_islands_chinese_twi_accelerate_pipeline` is a English model originally trained by e1879.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_chinese_twi_accelerate_pipeline_en_5.5.0_3.0_1726127006155.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_chinese_twi_accelerate_pipeline_en_5.5.0_3.0_1726127006155.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_chinese_twi_accelerate_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_chinese_twi_accelerate_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marian_finetuned_kde4_english_tonga_tonga_islands_chinese_twi_accelerate_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|541.2 MB|
+
+## References
+
+https://huggingface.co/e1879/marian-finetuned-kde4-en-to-zh-tw-accelerate
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_mbateman_en.md b/docs/_posts/ahmedlone127/2024-09-12-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_mbateman_en.md
new file mode 100644
index 00000000000000..d4a0e8c110c2ff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_mbateman_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_mbateman MarianTransformer from mbateman
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_mbateman
+date: 2024-09-12
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_mbateman` is a English model originally trained by mbateman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_mbateman_en_5.5.0_3.0_1726168045446.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_mbateman_en_5.5.0_3.0_1726168045446.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_mbateman|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|508.0 MB|
+
+## References
+
+https://huggingface.co/mbateman/marian-finetuned-kde4-en-to-fr-accelerate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-marian_finetuned_kde4_english_tonga_tonga_islands_french_liquannan_en.md b/docs/_posts/ahmedlone127/2024-09-12-marian_finetuned_kde4_english_tonga_tonga_islands_french_liquannan_en.md
new file mode 100644
index 00000000000000..d21ceeedfb3123
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-marian_finetuned_kde4_english_tonga_tonga_islands_french_liquannan_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_liquannan MarianTransformer from liquannan
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_liquannan
+date: 2024-09-12
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_tonga_tonga_islands_french_liquannan` is a English model originally trained by liquannan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_liquannan_en_5.5.0_3.0_1726168227683.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_liquannan_en_5.5.0_3.0_1726168227683.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_liquannan|
+|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/liquannan/marian-finetuned-kde4-en-to-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-marian_finetuned_kde4_english_tonga_tonga_islands_french_nick_carroll1_en.md b/docs/_posts/ahmedlone127/2024-09-12-marian_finetuned_kde4_english_tonga_tonga_islands_french_nick_carroll1_en.md
new file mode 100644
index 00000000000000..92a31576186dbf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-marian_finetuned_kde4_english_tonga_tonga_islands_french_nick_carroll1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_nick_carroll1 MarianTransformer from nick-carroll1
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_nick_carroll1
+date: 2024-09-12
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_tonga_tonga_islands_french_nick_carroll1` is a English model originally trained by nick-carroll1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_nick_carroll1_en_5.5.0_3.0_1726167988780.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_nick_carroll1_en_5.5.0_3.0_1726167988780.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_nick_carroll1|
+|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/nick-carroll1/marian-finetuned-kde4-en-to-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-marian_finetuned_kde4_english_tonga_tonga_islands_french_ricerlu_en.md b/docs/_posts/ahmedlone127/2024-09-12-marian_finetuned_kde4_english_tonga_tonga_islands_french_ricerlu_en.md
new file mode 100644
index 00000000000000..5a474f3de24bac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-marian_finetuned_kde4_english_tonga_tonga_islands_french_ricerlu_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_ricerlu MarianTransformer from ricerlu
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_ricerlu
+date: 2024-09-12
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_tonga_tonga_islands_french_ricerlu` is a English model originally trained by ricerlu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_ricerlu_en_5.5.0_3.0_1726167871404.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_ricerlu_en_5.5.0_3.0_1726167871404.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_ricerlu|
+|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/ricerlu/marian-finetuned-kde4-en-to-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-marian_finetuned_kde4_english_tonga_tonga_islands_french_vonewman_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-marian_finetuned_kde4_english_tonga_tonga_islands_french_vonewman_pipeline_en.md
new file mode 100644
index 00000000000000..f2f1e4e3cc60d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-marian_finetuned_kde4_english_tonga_tonga_islands_french_vonewman_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_vonewman_pipeline pipeline MarianTransformer from vonewman
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_vonewman_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_tonga_tonga_islands_french_vonewman_pipeline` is a English model originally trained by vonewman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_vonewman_pipeline_en_5.5.0_3.0_1726162154958.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_vonewman_pipeline_en_5.5.0_3.0_1726162154958.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_vonewman_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_french_vonewman_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marian_finetuned_kde4_english_tonga_tonga_islands_french_vonewman_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|508.7 MB|
+
+## References
+
+https://huggingface.co/vonewman/marian-finetuned-kde4-en-to-fr
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-mdeberta_v3_base_amazon_massive_intent_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-mdeberta_v3_base_amazon_massive_intent_pipeline_en.md
new file mode 100644
index 00000000000000..93937bfc1d3744
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-mdeberta_v3_base_amazon_massive_intent_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English mdeberta_v3_base_amazon_massive_intent_pipeline pipeline DeBertaForSequenceClassification from cartesinus
+author: John Snow Labs
+name: mdeberta_v3_base_amazon_massive_intent_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DeBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mdeberta_v3_base_amazon_massive_intent_pipeline` is a English model originally trained by cartesinus.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mdeberta_v3_base_amazon_massive_intent_pipeline_en_5.5.0_3.0_1726162994037.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mdeberta_v3_base_amazon_massive_intent_pipeline_en_5.5.0_3.0_1726162994037.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mdeberta_v3_base_amazon_massive_intent_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mdeberta_v3_base_amazon_massive_intent_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mdeberta_v3_base_amazon_massive_intent_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|839.3 MB|
+
+## References
+
+https://huggingface.co/cartesinus/mdeberta-v3-base_amazon-massive_intent
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DeBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-mdeberta_v3_base_rte_100_en.md b/docs/_posts/ahmedlone127/2024-09-12-mdeberta_v3_base_rte_100_en.md
new file mode 100644
index 00000000000000..6084c6f609b07b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-mdeberta_v3_base_rte_100_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English mdeberta_v3_base_rte_100 DeBertaForSequenceClassification from tmnam20
+author: John Snow Labs
+name: mdeberta_v3_base_rte_100
+date: 2024-09-12
+tags: [en, open_source, onnx, sequence_classification, deberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DeBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DeBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mdeberta_v3_base_rte_100` is a English model originally trained by tmnam20.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mdeberta_v3_base_rte_100_en_5.5.0_3.0_1726163501451.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mdeberta_v3_base_rte_100_en_5.5.0_3.0_1726163501451.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_rte_100|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|790.6 MB|
+
+## References
+
+https://huggingface.co/tmnam20/mdeberta-v3-base-rte-100
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-misinformation_covid_distilbert_base_german_cased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-misinformation_covid_distilbert_base_german_cased_pipeline_en.md
new file mode 100644
index 00000000000000..e4246c3c7c1ac4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-misinformation_covid_distilbert_base_german_cased_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English misinformation_covid_distilbert_base_german_cased_pipeline pipeline DistilBertForSequenceClassification from Ghunghru
+author: John Snow Labs
+name: misinformation_covid_distilbert_base_german_cased_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`misinformation_covid_distilbert_base_german_cased_pipeline` is a English model originally trained by Ghunghru.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/misinformation_covid_distilbert_base_german_cased_pipeline_en_5.5.0_3.0_1726125026611.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/misinformation_covid_distilbert_base_german_cased_pipeline_en_5.5.0_3.0_1726125026611.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("misinformation_covid_distilbert_base_german_cased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("misinformation_covid_distilbert_base_german_cased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|misinformation_covid_distilbert_base_german_cased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|252.5 MB|
+
+## References
+
+https://huggingface.co/Ghunghru/Misinformation-Covid-distilbert-base-german-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-multi_label_food_en.md b/docs/_posts/ahmedlone127/2024-09-12-multi_label_food_en.md
new file mode 100644
index 00000000000000..90950de7c2f0e7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-multi_label_food_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English multi_label_food BertForSequenceClassification from munirot
+author: John Snow Labs
+name: multi_label_food
+date: 2024-09-12
+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.`multi_label_food` is a English model originally trained by munirot.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/multi_label_food_en_5.5.0_3.0_1726182333161.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/multi_label_food_en_5.5.0_3.0_1726182333161.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|multi_label_food|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|408.5 MB|
+
+## References
+
+https://huggingface.co/munirot/multi-label-food
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-nerd_nerd_random3_seed1_twitter_roberta_base_2019_90m_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-nerd_nerd_random3_seed1_twitter_roberta_base_2019_90m_pipeline_en.md
new file mode 100644
index 00000000000000..733a21642fe41b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-nerd_nerd_random3_seed1_twitter_roberta_base_2019_90m_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English nerd_nerd_random3_seed1_twitter_roberta_base_2019_90m_pipeline pipeline RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: nerd_nerd_random3_seed1_twitter_roberta_base_2019_90m_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nerd_nerd_random3_seed1_twitter_roberta_base_2019_90m_pipeline` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nerd_nerd_random3_seed1_twitter_roberta_base_2019_90m_pipeline_en_5.5.0_3.0_1726117676836.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nerd_nerd_random3_seed1_twitter_roberta_base_2019_90m_pipeline_en_5.5.0_3.0_1726117676836.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nerd_nerd_random3_seed1_twitter_roberta_base_2019_90m_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nerd_nerd_random3_seed1_twitter_roberta_base_2019_90m_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nerd_nerd_random3_seed1_twitter_roberta_base_2019_90m_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/nerd-nerd_random3_seed1-twitter-roberta-base-2019-90m
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-neurips_roberta_covid_1_en.md b/docs/_posts/ahmedlone127/2024-09-12-neurips_roberta_covid_1_en.md
new file mode 100644
index 00000000000000..be0fc0c917fc22
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-neurips_roberta_covid_1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English neurips_roberta_covid_1 RoBertaForSequenceClassification from neurips-user
+author: John Snow Labs
+name: neurips_roberta_covid_1
+date: 2024-09-12
+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.`neurips_roberta_covid_1` is a English model originally trained by neurips-user.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/neurips_roberta_covid_1_en_5.5.0_3.0_1726108470725.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/neurips_roberta_covid_1_en_5.5.0_3.0_1726108470725.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|neurips_roberta_covid_1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|418.0 MB|
+
+## References
+
+https://huggingface.co/neurips-user/neurips-roberta-covid-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-nsfw_text_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-nsfw_text_pipeline_en.md
new file mode 100644
index 00000000000000..cd56d3acc17a82
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-nsfw_text_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English nsfw_text_pipeline pipeline DistilBertForSequenceClassification from circulus
+author: John Snow Labs
+name: nsfw_text_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nsfw_text_pipeline` is a English model originally trained by circulus.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nsfw_text_pipeline_en_5.5.0_3.0_1726124979284.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nsfw_text_pipeline_en_5.5.0_3.0_1726124979284.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nsfw_text_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nsfw_text_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nsfw_text_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/circulus/nsfw_text
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-opus_maltese_english_chinese_hk_en.md b/docs/_posts/ahmedlone127/2024-09-12-opus_maltese_english_chinese_hk_en.md
new file mode 100644
index 00000000000000..2bd3c80898a925
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-opus_maltese_english_chinese_hk_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_english_chinese_hk MarianTransformer from steve-tong
+author: John Snow Labs
+name: opus_maltese_english_chinese_hk
+date: 2024-09-12
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_chinese_hk` is a English model originally trained by steve-tong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_chinese_hk_en_5.5.0_3.0_1726162051009.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_chinese_hk_en_5.5.0_3.0_1726162051009.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_hk|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|542.5 MB|
+
+## References
+
+https://huggingface.co/steve-tong/opus-mt-en-zh-hk
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_ethanlane_en.md b/docs/_posts/ahmedlone127/2024-09-12-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_ethanlane_en.md
new file mode 100644
index 00000000000000..e8ca2e5bd7f7aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_ethanlane_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_ethanlane MarianTransformer from ethanlane
+author: John Snow Labs
+name: opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_ethanlane
+date: 2024-09-12
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_ethanlane` is a English model originally trained by ethanlane.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_ethanlane_en_5.5.0_3.0_1726167437388.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_ethanlane_en_5.5.0_3.0_1726167437388.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_ethanlane|
+|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/ethanlane/opus-mt-en-ro-finetuned-en-to-ro
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_gare_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_gare_pipeline_en.md
new file mode 100644
index 00000000000000..37670987374ebb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_gare_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_gare_pipeline pipeline MarianTransformer from Gare
+author: John Snow Labs
+name: opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_gare_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_gare_pipeline` is a English model originally trained by Gare.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_gare_pipeline_en_5.5.0_3.0_1726167470556.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_gare_pipeline_en_5.5.0_3.0_1726167470556.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_gare_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_gare_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_gare_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|509.1 MB|
+
+## References
+
+https://huggingface.co/Gare/opus-mt-en-ro-finetuned-en-to-ro
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_recoil1977_en.md b/docs/_posts/ahmedlone127/2024-09-12-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_recoil1977_en.md
new file mode 100644
index 00000000000000..490691b6b4800e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_recoil1977_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_recoil1977 MarianTransformer from Recoil1977
+author: John Snow Labs
+name: opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_recoil1977
+date: 2024-09-12
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_recoil1977` is a English model originally trained by Recoil1977.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_recoil1977_en_5.5.0_3.0_1726126664578.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_recoil1977_en_5.5.0_3.0_1726126664578.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_recoil1977|
+|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/Recoil1977/opus-mt-en-ro-finetuned-en-to-ro
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-opus_maltese_english_spanish_finetuned_english_tonga_tonga_islands_spanish_tamil_5epochs_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-opus_maltese_english_spanish_finetuned_english_tonga_tonga_islands_spanish_tamil_5epochs_pipeline_en.md
new file mode 100644
index 00000000000000..d3e74ce5ad259b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-opus_maltese_english_spanish_finetuned_english_tonga_tonga_islands_spanish_tamil_5epochs_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_english_spanish_finetuned_english_tonga_tonga_islands_spanish_tamil_5epochs_pipeline pipeline MarianTransformer from edu-shok
+author: John Snow Labs
+name: opus_maltese_english_spanish_finetuned_english_tonga_tonga_islands_spanish_tamil_5epochs_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_spanish_finetuned_english_tonga_tonga_islands_spanish_tamil_5epochs_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_5epochs_pipeline_en_5.5.0_3.0_1726161624568.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_5epochs_pipeline_en_5.5.0_3.0_1726161624568.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_5epochs_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_english_spanish_finetuned_english_tonga_tonga_islands_spanish_tamil_5epochs_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_5epochs_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|540.7 MB|
+
+## References
+
+https://huggingface.co/edu-shok/opus-mt-en-es-finetuned-en-to-es-TA-5EPOCHS
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-opus_maltese_english_vietnamese_finetuned_iwslt15_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-opus_maltese_english_vietnamese_finetuned_iwslt15_pipeline_en.md
new file mode 100644
index 00000000000000..aafe9cce77fd93
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-opus_maltese_english_vietnamese_finetuned_iwslt15_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_english_vietnamese_finetuned_iwslt15_pipeline pipeline MarianTransformer from tdobrxl
+author: John Snow Labs
+name: opus_maltese_english_vietnamese_finetuned_iwslt15_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_vietnamese_finetuned_iwslt15_pipeline` is a English model originally trained by tdobrxl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_vietnamese_finetuned_iwslt15_pipeline_en_5.5.0_3.0_1726168319943.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_vietnamese_finetuned_iwslt15_pipeline_en_5.5.0_3.0_1726168319943.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_iwslt15_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_english_vietnamese_finetuned_iwslt15_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_vietnamese_finetuned_iwslt15_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|475.2 MB|
+
+## References
+
+https://huggingface.co/tdobrxl/opus-mt-en-vi-finetuned-IWSLT15
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-opus_maltese_finetuned_sundanese_tonga_tonga_islands_indonesian_en.md b/docs/_posts/ahmedlone127/2024-09-12-opus_maltese_finetuned_sundanese_tonga_tonga_islands_indonesian_en.md
new file mode 100644
index 00000000000000..f2e7db36c84c12
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-opus_maltese_finetuned_sundanese_tonga_tonga_islands_indonesian_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_finetuned_sundanese_tonga_tonga_islands_indonesian MarianTransformer from hermanshid
+author: John Snow Labs
+name: opus_maltese_finetuned_sundanese_tonga_tonga_islands_indonesian
+date: 2024-09-12
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_finetuned_sundanese_tonga_tonga_islands_indonesian` is a English model originally trained by hermanshid.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_finetuned_sundanese_tonga_tonga_islands_indonesian_en_5.5.0_3.0_1726126662061.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_finetuned_sundanese_tonga_tonga_islands_indonesian_en_5.5.0_3.0_1726126662061.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_finetuned_sundanese_tonga_tonga_islands_indonesian|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|507.7 MB|
+
+## References
+
+https://huggingface.co/hermanshid/opus-mt-finetuned-su-to-id
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-opus_maltese_russian_english_finetuned_english_tonga_tonga_islands_russian_svsokol_en.md b/docs/_posts/ahmedlone127/2024-09-12-opus_maltese_russian_english_finetuned_english_tonga_tonga_islands_russian_svsokol_en.md
new file mode 100644
index 00000000000000..45909d4b3bce08
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-opus_maltese_russian_english_finetuned_english_tonga_tonga_islands_russian_svsokol_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_russian_english_finetuned_english_tonga_tonga_islands_russian_svsokol MarianTransformer from svsokol
+author: John Snow Labs
+name: opus_maltese_russian_english_finetuned_english_tonga_tonga_islands_russian_svsokol
+date: 2024-09-12
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_russian_english_finetuned_english_tonga_tonga_islands_russian_svsokol` is a English model originally trained by svsokol.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_russian_english_finetuned_english_tonga_tonga_islands_russian_svsokol_en_5.5.0_3.0_1726110957840.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_russian_english_finetuned_english_tonga_tonga_islands_russian_svsokol_en_5.5.0_3.0_1726110957840.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_russian_english_finetuned_english_tonga_tonga_islands_russian_svsokol|
+|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/svsokol/opus-mt-ru-en-finetuned-en-to-ru
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-politifact_roberta_clf_en.md b/docs/_posts/ahmedlone127/2024-09-12-politifact_roberta_clf_en.md
new file mode 100644
index 00000000000000..1d7fd396b80e6e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-politifact_roberta_clf_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English politifact_roberta_clf RoBertaForSequenceClassification from ChandlerU11
+author: John Snow Labs
+name: politifact_roberta_clf
+date: 2024-09-12
+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.`politifact_roberta_clf` is a English model originally trained by ChandlerU11.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/politifact_roberta_clf_en_5.5.0_3.0_1726117416234.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/politifact_roberta_clf_en_5.5.0_3.0_1726117416234.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_qa_squad|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|461.9 MB|
+
+## References
+
+https://huggingface.co/galkowskim/roberta_base_QA_SQUAD
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-roberta_qa_ai_club_inductions_21_nlp_roBERTa_base_squad_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-roberta_qa_ai_club_inductions_21_nlp_roBERTa_base_squad_v2_pipeline_en.md
new file mode 100644
index 00000000000000..3a27fbb9fed259
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-roberta_qa_ai_club_inductions_21_nlp_roBERTa_base_squad_v2_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_qa_ai_club_inductions_21_nlp_roBERTa_base_squad_v2_pipeline pipeline RoBertaForQuestionAnswering from AyushPJ
+author: John Snow Labs
+name: roberta_qa_ai_club_inductions_21_nlp_roBERTa_base_squad_v2_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_qa_ai_club_inductions_21_nlp_roBERTa_base_squad_v2_pipeline` is a English model originally trained by AyushPJ.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_qa_ai_club_inductions_21_nlp_roBERTa_base_squad_v2_pipeline_en_5.5.0_3.0_1726175883118.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_qa_ai_club_inductions_21_nlp_roBERTa_base_squad_v2_pipeline_en_5.5.0_3.0_1726175883118.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_qa_ai_club_inductions_21_nlp_roBERTa_base_squad_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_qa_ai_club_inductions_21_nlp_roBERTa_base_squad_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_qa_ai_club_inductions_21_nlp_roBERTa_base_squad_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|464.6 MB|
+
+## References
+
+https://huggingface.co/AyushPJ/ai-club-inductions-21-nlp-roBERTa-base-squad-v2
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-romanized_malayalam_en.md b/docs/_posts/ahmedlone127/2024-09-12-romanized_malayalam_en.md
new file mode 100644
index 00000000000000..df7b7dcefc078a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-romanized_malayalam_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English romanized_malayalam RoBertaEmbeddings from Jitin
+author: John Snow Labs
+name: romanized_malayalam
+date: 2024-09-12
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`romanized_malayalam` is a English model originally trained by Jitin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/romanized_malayalam_en_5.5.0_3.0_1726113353648.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/romanized_malayalam_en_5.5.0_3.0_1726113353648.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|romanized_malayalam|
+|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/Jitin/romanized-malayalam
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-rulebert_v0_2_k0_it.md b/docs/_posts/ahmedlone127/2024-09-12-rulebert_v0_2_k0_it.md
new file mode 100644
index 00000000000000..860f666b75ef87
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-rulebert_v0_2_k0_it.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Italian rulebert_v0_2_k0 XlmRoBertaForSequenceClassification from ribesstefano
+author: John Snow Labs
+name: rulebert_v0_2_k0
+date: 2024-09-12
+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_2_k0` is a Italian model originally trained by ribesstefano.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rulebert_v0_2_k0_it_5.5.0_3.0_1726146337467.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rulebert_v0_2_k0_it_5.5.0_3.0_1726146337467.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rulebert_v0_2_k0|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|it|
+|Size:|870.4 MB|
+
+## References
+
+https://huggingface.co/ribesstefano/RuleBert-v0.2-k0
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-sarcasm_detection_using_bert_en.md b/docs/_posts/ahmedlone127/2024-09-12-sarcasm_detection_using_bert_en.md
new file mode 100644
index 00000000000000..3fec5d362da55e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-sarcasm_detection_using_bert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sarcasm_detection_using_bert BertForSequenceClassification from nikesh66
+author: John Snow Labs
+name: sarcasm_detection_using_bert
+date: 2024-09-12
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sarcasm_detection_using_bert` is a English model originally trained by nikesh66.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sarcasm_detection_using_bert_en_5.5.0_3.0_1726122868085.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sarcasm_detection_using_bert_en_5.5.0_3.0_1726122868085.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_using_bert|
+|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/nikesh66/Sarcasm-Detection-using-BERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-second_try_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-second_try_pipeline_en.md
new file mode 100644
index 00000000000000..ef6c8a48eddf7c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-second_try_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English second_try_pipeline pipeline RoBertaForQuestionAnswering from Jose-Ribeir
+author: John Snow Labs
+name: second_try_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`second_try_pipeline` is a English model originally trained by Jose-Ribeir.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/second_try_pipeline_en_5.5.0_3.0_1726175746785.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/second_try_pipeline_en_5.5.0_3.0_1726175746785.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("second_try_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("second_try_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|second_try_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|463.7 MB|
+
+## References
+
+https://huggingface.co/Jose-Ribeir/second_try
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-sent_malayalam_bert_ml.md b/docs/_posts/ahmedlone127/2024-09-12-sent_malayalam_bert_ml.md
new file mode 100644
index 00000000000000..d4457d325252ec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-sent_malayalam_bert_ml.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Malayalam sent_malayalam_bert BertSentenceEmbeddings from l3cube-pune
+author: John Snow Labs
+name: sent_malayalam_bert
+date: 2024-09-12
+tags: [ml, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: ml
+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_malayalam_bert` is a Malayalam model originally trained by l3cube-pune.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_malayalam_bert_ml_5.5.0_3.0_1726119505401.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_malayalam_bert_ml_5.5.0_3.0_1726119505401.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_malayalam_bert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|ml|
+|Size:|890.5 MB|
+
+## References
+
+https://huggingface.co/l3cube-pune/malayalam-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-spamai_en.md b/docs/_posts/ahmedlone127/2024-09-12-spamai_en.md
new file mode 100644
index 00000000000000..b46d1117e8fab2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-spamai_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English spamai BertForSequenceClassification from cybert79
+author: John Snow Labs
+name: spamai
+date: 2024-09-12
+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.`spamai` is a English model originally trained by cybert79.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/spamai_en_5.5.0_3.0_1726123184786.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/spamai_en_5.5.0_3.0_1726123184786.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|spamai|
+|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/cybert79/spamai
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-spanbert_large_cased_finetuned_ner_conll2003_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-spanbert_large_cased_finetuned_ner_conll2003_pipeline_en.md
new file mode 100644
index 00000000000000..a31961a2a398de
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-spanbert_large_cased_finetuned_ner_conll2003_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English spanbert_large_cased_finetuned_ner_conll2003_pipeline pipeline BertForTokenClassification from MKR-AI
+author: John Snow Labs
+name: spanbert_large_cased_finetuned_ner_conll2003_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`spanbert_large_cased_finetuned_ner_conll2003_pipeline` is a English model originally trained by MKR-AI.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/spanbert_large_cased_finetuned_ner_conll2003_pipeline_en_5.5.0_3.0_1726155236584.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/spanbert_large_cased_finetuned_ner_conll2003_pipeline_en_5.5.0_3.0_1726155236584.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("spanbert_large_cased_finetuned_ner_conll2003_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("spanbert_large_cased_finetuned_ner_conll2003_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|spanbert_large_cased_finetuned_ner_conll2003_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/MKR-AI/spanbert-large-cased-finetuned-ner-conll2003
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-squad_clip_text_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-squad_clip_text_1_pipeline_en.md
new file mode 100644
index 00000000000000..efd611297fb8dd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-squad_clip_text_1_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English squad_clip_text_1_pipeline pipeline RoBertaForQuestionAnswering from AnonymousSub
+author: John Snow Labs
+name: squad_clip_text_1_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`squad_clip_text_1_pipeline` is a English model originally trained by AnonymousSub.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/squad_clip_text_1_pipeline_en_5.5.0_3.0_1726175351559.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/squad_clip_text_1_pipeline_en_5.5.0_3.0_1726175351559.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("squad_clip_text_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("squad_clip_text_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|squad_clip_text_1_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_1
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-t2_en.md b/docs/_posts/ahmedlone127/2024-09-12-t2_en.md
new file mode 100644
index 00000000000000..3f468648d8c002
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-t2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English t2 RoBertaForSequenceClassification from Pablojmed
+author: John Snow Labs
+name: t2
+date: 2024-09-12
+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.`t2` is a English model originally trained by Pablojmed.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/t2_en_5.5.0_3.0_1726118040103.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/t2_en_5.5.0_3.0_1726118040103.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|t2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|438.2 MB|
+
+## References
+
+https://huggingface.co/Pablojmed/t2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-trading_hero_llm_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-trading_hero_llm_pipeline_en.md
new file mode 100644
index 00000000000000..84754c4c3db716
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-trading_hero_llm_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English trading_hero_llm_pipeline pipeline BertForSequenceClassification from fuchenru
+author: John Snow Labs
+name: trading_hero_llm_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`trading_hero_llm_pipeline` is a English model originally trained by fuchenru.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/trading_hero_llm_pipeline_en_5.5.0_3.0_1726182218035.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/trading_hero_llm_pipeline_en_5.5.0_3.0_1726182218035.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("trading_hero_llm_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("trading_hero_llm_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|trading_hero_llm_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|411.7 MB|
+
+## References
+
+https://huggingface.co/fuchenru/Trading-Hero-LLM
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-twitter_roberta_base_tempo_wic_latest_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-twitter_roberta_base_tempo_wic_latest_pipeline_en.md
new file mode 100644
index 00000000000000..275a833047e259
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-twitter_roberta_base_tempo_wic_latest_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English twitter_roberta_base_tempo_wic_latest_pipeline pipeline RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: twitter_roberta_base_tempo_wic_latest_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_tempo_wic_latest_pipeline` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_tempo_wic_latest_pipeline_en_5.5.0_3.0_1726166086453.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_tempo_wic_latest_pipeline_en_5.5.0_3.0_1726166086453.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("twitter_roberta_base_tempo_wic_latest_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("twitter_roberta_base_tempo_wic_latest_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_tempo_wic_latest_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.2 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/twitter-roberta-base-tempo-wic-latest
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-twitter_roberta_large_2022_154m_en.md b/docs/_posts/ahmedlone127/2024-09-12-twitter_roberta_large_2022_154m_en.md
new file mode 100644
index 00000000000000..f4ed9856ff09f6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-twitter_roberta_large_2022_154m_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English twitter_roberta_large_2022_154m RoBertaEmbeddings from cardiffnlp
+author: John Snow Labs
+name: twitter_roberta_large_2022_154m
+date: 2024-09-12
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_large_2022_154m` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_large_2022_154m_en_5.5.0_3.0_1726185269023.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_large_2022_154m_en_5.5.0_3.0_1726185269023.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_2022_154m|
+|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/cardiffnlp/twitter-roberta-large-2022-154m
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-twitter_xlm_roberta_bitcoin_sentiment_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-twitter_xlm_roberta_bitcoin_sentiment_pipeline_en.md
new file mode 100644
index 00000000000000..7a360dd6deff2d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-twitter_xlm_roberta_bitcoin_sentiment_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English twitter_xlm_roberta_bitcoin_sentiment_pipeline pipeline XlmRoBertaForSequenceClassification from svalabs
+author: John Snow Labs
+name: twitter_xlm_roberta_bitcoin_sentiment_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_xlm_roberta_bitcoin_sentiment_pipeline` is a English model originally trained by svalabs.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_xlm_roberta_bitcoin_sentiment_pipeline_en_5.5.0_3.0_1726146644905.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_xlm_roberta_bitcoin_sentiment_pipeline_en_5.5.0_3.0_1726146644905.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("twitter_xlm_roberta_bitcoin_sentiment_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("twitter_xlm_roberta_bitcoin_sentiment_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_xlm_roberta_bitcoin_sentiment_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/svalabs/twitter-xlm-roberta-bitcoin-sentiment
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-uzbek_syn_roberta_pipeline_uz.md b/docs/_posts/ahmedlone127/2024-09-12-uzbek_syn_roberta_pipeline_uz.md
new file mode 100644
index 00000000000000..6fc1e3dd579f74
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-uzbek_syn_roberta_pipeline_uz.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Uzbek uzbek_syn_roberta_pipeline pipeline RoBertaEmbeddings from Mansurbek
+author: John Snow Labs
+name: uzbek_syn_roberta_pipeline
+date: 2024-09-12
+tags: [uz, open_source, pipeline, onnx]
+task: Embeddings
+language: uz
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`uzbek_syn_roberta_pipeline` is a Uzbek model originally trained by Mansurbek.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/uzbek_syn_roberta_pipeline_uz_5.5.0_3.0_1726185459136.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/uzbek_syn_roberta_pipeline_uz_5.5.0_3.0_1726185459136.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("uzbek_syn_roberta_pipeline", lang = "uz")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("uzbek_syn_roberta_pipeline", lang = "uz")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|uzbek_syn_roberta_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|uz|
+|Size:|471.0 MB|
+
+## References
+
+https://huggingface.co/Mansurbek/uz-syn-roberta
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-whisper_small_cv17_hungarian_hu.md b/docs/_posts/ahmedlone127/2024-09-12-whisper_small_cv17_hungarian_hu.md
new file mode 100644
index 00000000000000..c464240c44cd58
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-whisper_small_cv17_hungarian_hu.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Hungarian whisper_small_cv17_hungarian WhisperForCTC from Hungarians
+author: John Snow Labs
+name: whisper_small_cv17_hungarian
+date: 2024-09-12
+tags: [hu, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: hu
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_cv17_hungarian` is a Hungarian model originally trained by Hungarians.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_cv17_hungarian_hu_5.5.0_3.0_1726137589190.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_cv17_hungarian_hu_5.5.0_3.0_1726137589190.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_cv17_hungarian|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|hu|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Hungarians/whisper-small-cv17-hu
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-whisper_small_naija_9_7_2024_pipeline_yo.md b/docs/_posts/ahmedlone127/2024-09-12-whisper_small_naija_9_7_2024_pipeline_yo.md
new file mode 100644
index 00000000000000..81afadd4af4877
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-whisper_small_naija_9_7_2024_pipeline_yo.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Yoruba whisper_small_naija_9_7_2024_pipeline pipeline WhisperForCTC from okezieowen
+author: John Snow Labs
+name: whisper_small_naija_9_7_2024_pipeline
+date: 2024-09-12
+tags: [yo, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: yo
+edition: Spark 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_naija_9_7_2024_pipeline` is a Yoruba model originally trained by okezieowen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_naija_9_7_2024_pipeline_yo_5.5.0_3.0_1726151007622.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_naija_9_7_2024_pipeline_yo_5.5.0_3.0_1726151007622.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_naija_9_7_2024_pipeline", lang = "yo")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_naija_9_7_2024_pipeline", lang = "yo")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_naija_9_7_2024_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|yo|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/okezieowen/whisper-small-naija-9-7-2024
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_all_hirosay_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_all_hirosay_pipeline_en.md
new file mode 100644
index 00000000000000..aa00228157226f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_all_hirosay_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_all_hirosay_pipeline pipeline XlmRoBertaForTokenClassification from hirosay
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_all_hirosay_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_all_hirosay_pipeline` is a English model originally trained by hirosay.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_hirosay_pipeline_en_5.5.0_3.0_1726116554100.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_hirosay_pipeline_en_5.5.0_3.0_1726116554100.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_hirosay_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_all_hirosay_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_all_hirosay_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|861.0 MB|
+
+## References
+
+https://huggingface.co/hirosay/xlm-roberta-base-finetuned-panx-all
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_all_omersubasi_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_all_omersubasi_pipeline_en.md
new file mode 100644
index 00000000000000..9e8f8b55180798
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_all_omersubasi_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_all_omersubasi_pipeline pipeline XlmRoBertaForTokenClassification from omersubasi
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_all_omersubasi_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_all_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_all_omersubasi_pipeline_en_5.5.0_3.0_1726158896919.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_omersubasi_pipeline_en_5.5.0_3.0_1726158896919.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_omersubasi_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_all_omersubasi_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_all_omersubasi_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|859.8 MB|
+
+## References
+
+https://huggingface.co/omersubasi/xlm-roberta-base-finetuned-panx-all
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_english_hcy5561_en.md b/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_english_hcy5561_en.md
new file mode 100644
index 00000000000000..b11dda08456ffc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_english_hcy5561_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_hcy5561 XlmRoBertaForTokenClassification from hcy5561
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_hcy5561
+date: 2024-09-12
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_english_hcy5561` is a English model originally trained by hcy5561.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_hcy5561_en_5.5.0_3.0_1726157472950.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_hcy5561_en_5.5.0_3.0_1726157472950.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_hcy5561|
+|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/hcy5561/xlm-roberta-base-finetuned-panx-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_english_smilingface88_en.md b/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_english_smilingface88_en.md
new file mode 100644
index 00000000000000..715542e6006a17
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_english_smilingface88_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_smilingface88 XlmRoBertaForTokenClassification from smilingface88
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_smilingface88
+date: 2024-09-12
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_english_smilingface88` is a English model originally trained by smilingface88.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_smilingface88_en_5.5.0_3.0_1726158972296.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_smilingface88_en_5.5.0_3.0_1726158972296.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_smilingface88|
+|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/smilingface88/xlm-roberta-base-finetuned-panx-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_french_jbreunig_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_french_jbreunig_pipeline_en.md
new file mode 100644
index 00000000000000..bd7e25c3de06d7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_french_jbreunig_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_jbreunig_pipeline pipeline XlmRoBertaForTokenClassification from jbreunig
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_jbreunig_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_jbreunig_pipeline` is a English model originally trained by jbreunig.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_jbreunig_pipeline_en_5.5.0_3.0_1726130889423.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_jbreunig_pipeline_en_5.5.0_3.0_1726130889423.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_jbreunig_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_jbreunig_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_jbreunig_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|840.9 MB|
+
+## References
+
+https://huggingface.co/jbreunig/xlm-roberta-base-finetuned-panx-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_french_obong_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_french_obong_pipeline_en.md
new file mode 100644
index 00000000000000..283ee793d9a7cf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_french_obong_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_obong_pipeline pipeline XlmRoBertaForTokenClassification from obong
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_obong_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_obong_pipeline` is a English model originally trained by obong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_obong_pipeline_en_5.5.0_3.0_1726164425817.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_obong_pipeline_en_5.5.0_3.0_1726164425817.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_obong_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_obong_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_obong_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|840.9 MB|
+
+## References
+
+https://huggingface.co/obong/xlm-roberta-base-finetuned-panx-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_german_french_pstary_en.md b/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_german_french_pstary_en.md
new file mode 100644
index 00000000000000..b0619e0582a365
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_german_french_pstary_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_pstary XlmRoBertaForTokenClassification from Pstary
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_pstary
+date: 2024-09-12
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_pstary` is a English model originally trained by Pstary.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_pstary_en_5.5.0_3.0_1726160220992.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_pstary_en_5.5.0_3.0_1726160220992.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_pstary|
+|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/Pstary/xlm-roberta-base-finetuned-panx-de-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_german_r45289_en.md b/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_german_r45289_en.md
new file mode 100644
index 00000000000000..983c8c03df8b8b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_german_r45289_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_r45289 XlmRoBertaForTokenClassification from r45289
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_r45289
+date: 2024-09-12
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_r45289` is a English model originally trained by r45289.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_r45289_en_5.5.0_3.0_1726116427686.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_r45289_en_5.5.0_3.0_1726116427686.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_r45289|
+|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/r45289/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_german_r45289_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_german_r45289_pipeline_en.md
new file mode 100644
index 00000000000000..52101a5d2333f1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_finetuned_panx_german_r45289_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_r45289_pipeline pipeline XlmRoBertaForTokenClassification from r45289
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_r45289_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_r45289_pipeline` is a English model originally trained by r45289.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_r45289_pipeline_en_5.5.0_3.0_1726116492536.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_r45289_pipeline_en_5.5.0_3.0_1726116492536.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_r45289_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_r45289_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_r45289_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/r45289/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_nepal_bhasa_vietnam_aug_replace_synonym_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_nepal_bhasa_vietnam_aug_replace_synonym_1_pipeline_en.md
new file mode 100644
index 00000000000000..e98b05f5776580
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-12-xlm_roberta_base_nepal_bhasa_vietnam_aug_replace_synonym_1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_nepal_bhasa_vietnam_aug_replace_synonym_1_pipeline pipeline XlmRoBertaForSequenceClassification from ThuyNT03
+author: John Snow Labs
+name: xlm_roberta_base_nepal_bhasa_vietnam_aug_replace_synonym_1_pipeline
+date: 2024-09-12
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_nepal_bhasa_vietnam_aug_replace_synonym_1_pipeline` is a English model originally trained by ThuyNT03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_nepal_bhasa_vietnam_aug_replace_synonym_1_pipeline_en_5.5.0_3.0_1726146732521.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_nepal_bhasa_vietnam_aug_replace_synonym_1_pipeline_en_5.5.0_3.0_1726146732521.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_nepal_bhasa_vietnam_aug_replace_synonym_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_nepal_bhasa_vietnam_aug_replace_synonym_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_nepal_bhasa_vietnam_aug_replace_synonym_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|799.4 MB|
+
+## References
+
+https://huggingface.co/ThuyNT03/xlm-roberta-base-New_VietNam-aug_replace_synonym-1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-all_roberta_large_v1_travel_3_16_5_en.md b/docs/_posts/ahmedlone127/2024-09-13-all_roberta_large_v1_travel_3_16_5_en.md
new file mode 100644
index 00000000000000..b9105b6074a31b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-all_roberta_large_v1_travel_3_16_5_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English all_roberta_large_v1_travel_3_16_5 RoBertaForSequenceClassification from fathyshalab
+author: John Snow Labs
+name: all_roberta_large_v1_travel_3_16_5
+date: 2024-09-13
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_roberta_large_v1_travel_3_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_travel_3_16_5_en_5.5.0_3.0_1726187155095.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_travel_3_16_5_en_5.5.0_3.0_1726187155095.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_roberta_large_v1_travel_3_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-travel-3-16-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-alpha_bert_en.md b/docs/_posts/ahmedlone127/2024-09-13-alpha_bert_en.md
new file mode 100644
index 00000000000000..a6127b41b27b9f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-alpha_bert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English alpha_bert BertForSequenceClassification from Luciferalive
+author: John Snow Labs
+name: alpha_bert
+date: 2024-09-13
+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.`alpha_bert` is a English model originally trained by Luciferalive.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/alpha_bert_en_5.5.0_3.0_1726201294081.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/alpha_bert_en_5.5.0_3.0_1726201294081.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|alpha_bert|
+|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/Luciferalive/Alpha_Bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-another_local_pipeline_it.md b/docs/_posts/ahmedlone127/2024-09-13-another_local_pipeline_it.md
new file mode 100644
index 00000000000000..0e3c079e230fe4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-another_local_pipeline_it.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Italian another_local_pipeline pipeline WhisperForCTC from SaladSlayer00
+author: John Snow Labs
+name: another_local_pipeline
+date: 2024-09-13
+tags: [it, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: it
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`another_local_pipeline` is a Italian model originally trained by SaladSlayer00.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/another_local_pipeline_it_5.5.0_3.0_1726220182160.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/another_local_pipeline_it_5.5.0_3.0_1726220182160.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("another_local_pipeline", lang = "it")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("another_local_pipeline", lang = "it")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|another_local_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|it|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/SaladSlayer00/another_local
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-babyberta_aochildes_1_25m_aochildes_french1_25m_with_masking_seed3_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2024-09-13-babyberta_aochildes_1_25m_aochildes_french1_25m_with_masking_seed3_finetuned_squad_en.md
new file mode 100644
index 00000000000000..0545906e89f6f8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-babyberta_aochildes_1_25m_aochildes_french1_25m_with_masking_seed3_finetuned_squad_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English babyberta_aochildes_1_25m_aochildes_french1_25m_with_masking_seed3_finetuned_squad RoBertaForQuestionAnswering from lielbin
+author: John Snow Labs
+name: babyberta_aochildes_1_25m_aochildes_french1_25m_with_masking_seed3_finetuned_squad
+date: 2024-09-13
+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_1_25m_aochildes_french1_25m_with_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_1_25m_aochildes_french1_25m_with_masking_seed3_finetuned_squad_en_5.5.0_3.0_1726199032052.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/babyberta_aochildes_1_25m_aochildes_french1_25m_with_masking_seed3_finetuned_squad_en_5.5.0_3.0_1726199032052.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_1_25m_aochildes_french1_25m_with_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-aochildes_1.25M_aochildes-french1.25M-with-Masking-seed3-finetuned-SQuAD
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-babyberta_wikipedia1_1_25m_wikipedia_french1_25m_with_masking_finetuned_squad_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-babyberta_wikipedia1_1_25m_wikipedia_french1_25m_with_masking_finetuned_squad_pipeline_en.md
new file mode 100644
index 00000000000000..abe31e5671549f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-babyberta_wikipedia1_1_25m_wikipedia_french1_25m_with_masking_finetuned_squad_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English babyberta_wikipedia1_1_25m_wikipedia_french1_25m_with_masking_finetuned_squad_pipeline pipeline RoBertaForQuestionAnswering from lielbin
+author: John Snow Labs
+name: babyberta_wikipedia1_1_25m_wikipedia_french1_25m_with_masking_finetuned_squad_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`babyberta_wikipedia1_1_25m_wikipedia_french1_25m_with_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_wikipedia1_1_25m_wikipedia_french1_25m_with_masking_finetuned_squad_pipeline_en_5.5.0_3.0_1726198578743.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_with_masking_finetuned_squad_pipeline_en_5.5.0_3.0_1726198578743.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("babyberta_wikipedia1_1_25m_wikipedia_french1_25m_with_masking_finetuned_squad_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("babyberta_wikipedia1_1_25m_wikipedia_french1_25m_with_masking_finetuned_squad_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|babyberta_wikipedia1_1_25m_wikipedia_french1_25m_with_masking_finetuned_squad_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|32.0 MB|
+
+## References
+
+https://huggingface.co/lielbin/BabyBERTa-wikipedia1_1.25M_wikipedia_french1.25M-with-Masking-finetuned-SQuAD
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-bert_base_multilingual_uncased_finetuned_ner_geocorpus_pipeline_xx.md b/docs/_posts/ahmedlone127/2024-09-13-bert_base_multilingual_uncased_finetuned_ner_geocorpus_pipeline_xx.md
new file mode 100644
index 00000000000000..8c9033f279710b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-bert_base_multilingual_uncased_finetuned_ner_geocorpus_pipeline_xx.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Multilingual bert_base_multilingual_uncased_finetuned_ner_geocorpus_pipeline pipeline BertForTokenClassification from GuiTap
+author: John Snow Labs
+name: bert_base_multilingual_uncased_finetuned_ner_geocorpus_pipeline
+date: 2024-09-13
+tags: [xx, open_source, pipeline, onnx]
+task: Named Entity Recognition
+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 BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_multilingual_uncased_finetuned_ner_geocorpus_pipeline` is a Multilingual model originally trained by GuiTap.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_multilingual_uncased_finetuned_ner_geocorpus_pipeline_xx_5.5.0_3.0_1726267484407.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_multilingual_uncased_finetuned_ner_geocorpus_pipeline_xx_5.5.0_3.0_1726267484407.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_multilingual_uncased_finetuned_ner_geocorpus_pipeline", lang = "xx")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_multilingual_uncased_finetuned_ner_geocorpus_pipeline", lang = "xx")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_multilingual_uncased_finetuned_ner_geocorpus_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|xx|
+|Size:|625.6 MB|
+
+## References
+
+https://huggingface.co/GuiTap/bert-base-multilingual-uncased-finetuned-ner-geocorpus
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-bert_large_uncased_sst2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-bert_large_uncased_sst2_pipeline_en.md
new file mode 100644
index 00000000000000..47db4fd843d65a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-bert_large_uncased_sst2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_large_uncased_sst2_pipeline pipeline BertForSequenceClassification from yoshitomo-matsubara
+author: John Snow Labs
+name: bert_large_uncased_sst2_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_large_uncased_sst2_pipeline` is a English model originally trained by yoshitomo-matsubara.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_large_uncased_sst2_pipeline_en_5.5.0_3.0_1726201457369.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_large_uncased_sst2_pipeline_en_5.5.0_3.0_1726201457369.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_large_uncased_sst2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_large_uncased_sst2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_large_uncased_sst2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/yoshitomo-matsubara/bert-large-uncased-sst2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-bert_vllm_gemma2b_7_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-bert_vllm_gemma2b_7_pipeline_en.md
new file mode 100644
index 00000000000000..1b8ca9effc2f73
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-bert_vllm_gemma2b_7_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_vllm_gemma2b_7_pipeline pipeline DistilBertForSequenceClassification from jvelja
+author: John Snow Labs
+name: bert_vllm_gemma2b_7_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_vllm_gemma2b_7_pipeline` is a English model originally trained by jvelja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_vllm_gemma2b_7_pipeline_en_5.5.0_3.0_1726262673270.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_vllm_gemma2b_7_pipeline_en_5.5.0_3.0_1726262673270.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_vllm_gemma2b_7_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_vllm_gemma2b_7_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_vllm_gemma2b_7_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jvelja/BERT_vllm-gemma2b_7
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-brwac_v1_4__checkpoint12_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-brwac_v1_4__checkpoint12_pipeline_en.md
new file mode 100644
index 00000000000000..70daa3c3d42e1e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-brwac_v1_4__checkpoint12_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English brwac_v1_4__checkpoint12_pipeline pipeline RoBertaEmbeddings from eduagarcia-temp
+author: John Snow Labs
+name: brwac_v1_4__checkpoint12_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`brwac_v1_4__checkpoint12_pipeline` is a English model originally trained by eduagarcia-temp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/brwac_v1_4__checkpoint12_pipeline_en_5.5.0_3.0_1726197335882.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/brwac_v1_4__checkpoint12_pipeline_en_5.5.0_3.0_1726197335882.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("brwac_v1_4__checkpoint12_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("brwac_v1_4__checkpoint12_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|brwac_v1_4__checkpoint12_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|297.9 MB|
+
+## References
+
+https://huggingface.co/eduagarcia-temp/brwac_v1_4__checkpoint12
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-burmese_awesome_qa_model_djhenny_en.md b/docs/_posts/ahmedlone127/2024-09-13-burmese_awesome_qa_model_djhenny_en.md
new file mode 100644
index 00000000000000..18b5a4e4a4afe2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-burmese_awesome_qa_model_djhenny_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_djhenny DistilBertForQuestionAnswering from djhenny
+author: John Snow Labs
+name: burmese_awesome_qa_model_djhenny
+date: 2024-09-13
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_djhenny` is a English model originally trained by djhenny.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_djhenny_en_5.5.0_3.0_1726245067308.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_djhenny_en_5.5.0_3.0_1726245067308.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_djhenny|
+|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/djhenny/my_awesome_qa_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-burmese_awesome_qa_model_maniack_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-burmese_awesome_qa_model_maniack_pipeline_en.md
new file mode 100644
index 00000000000000..f5f7b3e9a8335d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-burmese_awesome_qa_model_maniack_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_maniack_pipeline pipeline DistilBertForQuestionAnswering from maniack
+author: John Snow Labs
+name: burmese_awesome_qa_model_maniack_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_maniack_pipeline` is a English model originally trained by maniack.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_maniack_pipeline_en_5.5.0_3.0_1726245525137.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_maniack_pipeline_en_5.5.0_3.0_1726245525137.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_maniack_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_qa_model_maniack_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_maniack_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/maniack/my_awesome_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-culturebank_controversial_classifier_en.md b/docs/_posts/ahmedlone127/2024-09-13-culturebank_controversial_classifier_en.md
new file mode 100644
index 00000000000000..993cde6a963e59
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-culturebank_controversial_classifier_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English culturebank_controversial_classifier DistilBertForSequenceClassification from SALT-NLP
+author: John Snow Labs
+name: culturebank_controversial_classifier
+date: 2024-09-13
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`culturebank_controversial_classifier` is a English model originally trained by SALT-NLP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/culturebank_controversial_classifier_en_5.5.0_3.0_1726262006860.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/culturebank_controversial_classifier_en_5.5.0_3.0_1726262006860.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|culturebank_controversial_classifier|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/SALT-NLP/CultureBank-Controversial-Classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-deberta_em_en.md b/docs/_posts/ahmedlone127/2024-09-13-deberta_em_en.md
new file mode 100644
index 00000000000000..772ac3fe4cc92e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-deberta_em_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English deberta_em DeBertaForSequenceClassification from keremp
+author: John Snow Labs
+name: deberta_em
+date: 2024-09-13
+tags: [en, open_source, onnx, sequence_classification, deberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DeBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DeBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deberta_em` is a English model originally trained by keremp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deberta_em_en_5.5.0_3.0_1726190724584.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_em_en_5.5.0_3.0_1726190724584.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deberta_em|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|562.7 MB|
+
+## References
+
+https://huggingface.co/keremp/deberta-em
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-deberta_hallucination_eval_en.md b/docs/_posts/ahmedlone127/2024-09-13-deberta_hallucination_eval_en.md
new file mode 100644
index 00000000000000..cbdc09fb647b32
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-deberta_hallucination_eval_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English deberta_hallucination_eval DeBertaForSequenceClassification from mathislucka
+author: John Snow Labs
+name: deberta_hallucination_eval
+date: 2024-09-13
+tags: [en, open_source, onnx, sequence_classification, deberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DeBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DeBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deberta_hallucination_eval` is a English model originally trained by mathislucka.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deberta_hallucination_eval_en_5.5.0_3.0_1726200231054.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_hallucination_eval_en_5.5.0_3.0_1726200231054.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deberta_hallucination_eval|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|690.6 MB|
+
+## References
+
+https://huggingface.co/mathislucka/deberta-hallucination-eval
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-deberta_v3_base_dialoconan_cls_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-deberta_v3_base_dialoconan_cls_pipeline_en.md
new file mode 100644
index 00000000000000..f198ad272e3a1c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-deberta_v3_base_dialoconan_cls_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English deberta_v3_base_dialoconan_cls_pipeline pipeline DeBertaForSequenceClassification from xoyeop
+author: John Snow Labs
+name: deberta_v3_base_dialoconan_cls_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DeBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deberta_v3_base_dialoconan_cls_pipeline` is a English model originally trained by xoyeop.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deberta_v3_base_dialoconan_cls_pipeline_en_5.5.0_3.0_1726260318358.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_v3_base_dialoconan_cls_pipeline_en_5.5.0_3.0_1726260318358.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("deberta_v3_base_dialoconan_cls_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("deberta_v3_base_dialoconan_cls_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deberta_v3_base_dialoconan_cls_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|589.6 MB|
+
+## References
+
+https://huggingface.co/xoyeop/deberta-v3-base-DIALOCONAN-CLS
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DeBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-deberta_v3_base_finetuned_fever_en.md b/docs/_posts/ahmedlone127/2024-09-13-deberta_v3_base_finetuned_fever_en.md
new file mode 100644
index 00000000000000..3713792113fdd4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-deberta_v3_base_finetuned_fever_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English deberta_v3_base_finetuned_fever DeBertaForSequenceClassification from learn3r
+author: John Snow Labs
+name: deberta_v3_base_finetuned_fever
+date: 2024-09-13
+tags: [en, open_source, onnx, sequence_classification, deberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DeBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DeBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deberta_v3_base_finetuned_fever` is a English model originally trained by learn3r.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deberta_v3_base_finetuned_fever_en_5.5.0_3.0_1726199967175.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_v3_base_finetuned_fever_en_5.5.0_3.0_1726199967175.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_fever|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|627.5 MB|
+
+## References
+
+https://huggingface.co/learn3r/deberta-v3-base-finetuned-fever
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-deberta_v3_large_survey_related_passage_consistency_rater_half_gpt4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-deberta_v3_large_survey_related_passage_consistency_rater_half_gpt4_pipeline_en.md
new file mode 100644
index 00000000000000..745966576869a6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-deberta_v3_large_survey_related_passage_consistency_rater_half_gpt4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English deberta_v3_large_survey_related_passage_consistency_rater_half_gpt4_pipeline pipeline DeBertaForSequenceClassification from domenicrosati
+author: John Snow Labs
+name: deberta_v3_large_survey_related_passage_consistency_rater_half_gpt4_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DeBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deberta_v3_large_survey_related_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_related_passage_consistency_rater_half_gpt4_pipeline_en_5.5.0_3.0_1726199879491.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_v3_large_survey_related_passage_consistency_rater_half_gpt4_pipeline_en_5.5.0_3.0_1726199879491.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_related_passage_consistency_rater_half_gpt4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("deberta_v3_large_survey_related_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_related_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-related_passage_consistency-rater-half-gpt4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DeBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-deberta_v3_small_tweet_about_disaster_oriya_not_en.md b/docs/_posts/ahmedlone127/2024-09-13-deberta_v3_small_tweet_about_disaster_oriya_not_en.md
new file mode 100644
index 00000000000000..9fae70d2ce67aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-deberta_v3_small_tweet_about_disaster_oriya_not_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English deberta_v3_small_tweet_about_disaster_oriya_not DeBertaForSequenceClassification from DunnBC22
+author: John Snow Labs
+name: deberta_v3_small_tweet_about_disaster_oriya_not
+date: 2024-09-13
+tags: [en, open_source, onnx, sequence_classification, deberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DeBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DeBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deberta_v3_small_tweet_about_disaster_oriya_not` is a English model originally trained by DunnBC22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deberta_v3_small_tweet_about_disaster_oriya_not_en_5.5.0_3.0_1726200190933.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deberta_v3_small_tweet_about_disaster_oriya_not_en_5.5.0_3.0_1726200190933.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dictabert_finetuned_dss_maskedlm|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|en|
+|Size:|689.1 MB|
+
+## References
+
+https://huggingface.co/yonatanlou/dictabert-finetuned-DSS-maskedLM
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-distilbert_base_multilingual_cased_fine_ptbr_pipeline_xx.md b/docs/_posts/ahmedlone127/2024-09-13-distilbert_base_multilingual_cased_fine_ptbr_pipeline_xx.md
new file mode 100644
index 00000000000000..99491ca3005361
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-distilbert_base_multilingual_cased_fine_ptbr_pipeline_xx.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Multilingual distilbert_base_multilingual_cased_fine_ptbr_pipeline pipeline DistilBertForSequenceClassification from Laysson
+author: John Snow Labs
+name: distilbert_base_multilingual_cased_fine_ptbr_pipeline
+date: 2024-09-13
+tags: [xx, open_source, pipeline, onnx]
+task: Text Classification
+language: xx
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_multilingual_cased_fine_ptbr_pipeline` is a Multilingual model originally trained by Laysson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_fine_ptbr_pipeline_xx_5.5.0_3.0_1726262918619.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_fine_ptbr_pipeline_xx_5.5.0_3.0_1726262918619.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_multilingual_cased_fine_ptbr_pipeline", lang = "xx")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_multilingual_cased_fine_ptbr_pipeline", lang = "xx")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_multilingual_cased_fine_ptbr_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|xx|
+|Size:|507.6 MB|
+
+## References
+
+https://huggingface.co/Laysson/distilbert-base-multilingual-cased-fine-ptbr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-distilbert_base_uncased_finetuned_emotion_abdelwahab201_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-distilbert_base_uncased_finetuned_emotion_abdelwahab201_pipeline_en.md
new file mode 100644
index 00000000000000..b5165baf8848b0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-distilbert_base_uncased_finetuned_emotion_abdelwahab201_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_abdelwahab201_pipeline pipeline DistilBertForSequenceClassification from Abdelwahab201
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_abdelwahab201_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_abdelwahab201_pipeline` is a English model originally trained by Abdelwahab201.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_abdelwahab201_pipeline_en_5.5.0_3.0_1726262470362.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_abdelwahab201_pipeline_en_5.5.0_3.0_1726262470362.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_abdelwahab201_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_abdelwahab201_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_abdelwahab201_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Abdelwahab201/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-distilbert_base_uncased_finetuned_emotion_admin_0_en.md b/docs/_posts/ahmedlone127/2024-09-13-distilbert_base_uncased_finetuned_emotion_admin_0_en.md
new file mode 100644
index 00000000000000..e1d5127d649fa7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-distilbert_base_uncased_finetuned_emotion_admin_0_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_admin_0 DistilBertForSequenceClassification from admin-0
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_admin_0
+date: 2024-09-13
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_admin_0` is a English model originally trained by admin-0.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_admin_0_en_5.5.0_3.0_1726262310336.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_admin_0_en_5.5.0_3.0_1726262310336.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_admin_0|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/admin-0/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-distilbert_base_uncased_finetuned_emotion_esperesa_en.md b/docs/_posts/ahmedlone127/2024-09-13-distilbert_base_uncased_finetuned_emotion_esperesa_en.md
new file mode 100644
index 00000000000000..1d4bbb121f6f51
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-distilbert_base_uncased_finetuned_emotion_esperesa_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_esperesa DistilBertForSequenceClassification from esperesa
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_esperesa
+date: 2024-09-13
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_esperesa` is a English model originally trained by esperesa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_esperesa_en_5.5.0_3.0_1726262310680.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_esperesa_en_5.5.0_3.0_1726262310680.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_esperesa|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/esperesa/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-distilbert_base_uncased_finetuned_emotion_nli276_en.md b/docs/_posts/ahmedlone127/2024-09-13-distilbert_base_uncased_finetuned_emotion_nli276_en.md
new file mode 100644
index 00000000000000..6b7c70280a3d17
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-distilbert_base_uncased_finetuned_emotion_nli276_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_nli276 DistilBertForSequenceClassification from nli276
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_nli276
+date: 2024-09-13
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_nli276` is a English model originally trained by nli276.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_nli276_en_5.5.0_3.0_1726262784136.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_nli276_en_5.5.0_3.0_1726262784136.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_nli276|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/nli276/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-distilbert_base_uncased_finetuned_emotion_rizwan_ai_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-distilbert_base_uncased_finetuned_emotion_rizwan_ai_pipeline_en.md
new file mode 100644
index 00000000000000..8843c869fa1608
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-distilbert_base_uncased_finetuned_emotion_rizwan_ai_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_rizwan_ai_pipeline pipeline DistilBertForSequenceClassification from rizwan-ai
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_rizwan_ai_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_rizwan_ai_pipeline` is a English model originally trained by rizwan-ai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_rizwan_ai_pipeline_en_5.5.0_3.0_1726262286585.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_rizwan_ai_pipeline_en_5.5.0_3.0_1726262286585.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_rizwan_ai_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_rizwan_ai_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_rizwan_ai_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/rizwan-ai/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-distilbert_base_uncased_finetuned_emotion_xiumu1988_en.md b/docs/_posts/ahmedlone127/2024-09-13-distilbert_base_uncased_finetuned_emotion_xiumu1988_en.md
new file mode 100644
index 00000000000000..31638e50003135
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-distilbert_base_uncased_finetuned_emotion_xiumu1988_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_xiumu1988 DistilBertForSequenceClassification from xiumu1988
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_xiumu1988
+date: 2024-09-13
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_xiumu1988` is a English model originally trained by xiumu1988.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_xiumu1988_en_5.5.0_3.0_1726242468281.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_xiumu1988_en_5.5.0_3.0_1726242468281.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_xiumu1988|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/xiumu1988/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-distilbert_qa_model_smrynrz0220_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-distilbert_qa_model_smrynrz0220_pipeline_en.md
new file mode 100644
index 00000000000000..679aafa710b8cd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-distilbert_qa_model_smrynrz0220_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_qa_model_smrynrz0220_pipeline pipeline DistilBertForQuestionAnswering from smrynrz0220
+author: John Snow Labs
+name: distilbert_qa_model_smrynrz0220_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_qa_model_smrynrz0220_pipeline` is a English model originally trained by smrynrz0220.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_model_smrynrz0220_pipeline_en_5.5.0_3.0_1726244970619.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_model_smrynrz0220_pipeline_en_5.5.0_3.0_1726244970619.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_qa_model_smrynrz0220_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_qa_model_smrynrz0220_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_model_smrynrz0220_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/smrynrz0220/distilbert_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-dopamin_python_summary_en.md b/docs/_posts/ahmedlone127/2024-09-13-dopamin_python_summary_en.md
new file mode 100644
index 00000000000000..5d845c74dbfc0c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-dopamin_python_summary_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English dopamin_python_summary RoBertaForSequenceClassification from Fsoft-AIC
+author: John Snow Labs
+name: dopamin_python_summary
+date: 2024-09-13
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dopamin_python_summary` is a English model originally trained by Fsoft-AIC.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dopamin_python_summary_en_5.5.0_3.0_1726186956446.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dopamin_python_summary_en_5.5.0_3.0_1726186956446.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|econberta|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|466.4 MB|
+
+## References
+
+https://huggingface.co/ThePixOne/EconBERTa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-financial_sentiment_model_2500_samples_fine_tune_en.md b/docs/_posts/ahmedlone127/2024-09-13-financial_sentiment_model_2500_samples_fine_tune_en.md
new file mode 100644
index 00000000000000..a35d05570b7ebe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-financial_sentiment_model_2500_samples_fine_tune_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English financial_sentiment_model_2500_samples_fine_tune DistilBertForSequenceClassification from kevinwlip
+author: John Snow Labs
+name: financial_sentiment_model_2500_samples_fine_tune
+date: 2024-09-13
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`financial_sentiment_model_2500_samples_fine_tune` is a English model originally trained by kevinwlip.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/financial_sentiment_model_2500_samples_fine_tune_en_5.5.0_3.0_1726262654591.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/financial_sentiment_model_2500_samples_fine_tune_en_5.5.0_3.0_1726262654591.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|financial_sentiment_model_2500_samples_fine_tune|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/kevinwlip/financial-sentiment-model-2500-samples-fine-tune
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-fine_tuned_distilbert_base_uncased_beehzod_en.md b/docs/_posts/ahmedlone127/2024-09-13-fine_tuned_distilbert_base_uncased_beehzod_en.md
new file mode 100644
index 00000000000000..4356cbb2a06749
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-fine_tuned_distilbert_base_uncased_beehzod_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English fine_tuned_distilbert_base_uncased_beehzod DistilBertForSequenceClassification from Beehzod
+author: John Snow Labs
+name: fine_tuned_distilbert_base_uncased_beehzod
+date: 2024-09-13
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_distilbert_base_uncased_beehzod` is a English model originally trained by Beehzod.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_distilbert_base_uncased_beehzod_en_5.5.0_3.0_1726262127150.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_distilbert_base_uncased_beehzod_en_5.5.0_3.0_1726262127150.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tuned_distilbert_base_uncased_beehzod|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Beehzod/fine_tuned_distilbert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-finetuned_model_on_custom_dataset_700k_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-finetuned_model_on_custom_dataset_700k_pipeline_en.md
new file mode 100644
index 00000000000000..9cd651ec21b473
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-finetuned_model_on_custom_dataset_700k_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuned_model_on_custom_dataset_700k_pipeline pipeline DistilBertForSequenceClassification from rahulgaikwad007
+author: John Snow Labs
+name: finetuned_model_on_custom_dataset_700k_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_model_on_custom_dataset_700k_pipeline` is a English model originally trained by rahulgaikwad007.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_model_on_custom_dataset_700k_pipeline_en_5.5.0_3.0_1726242888744.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_model_on_custom_dataset_700k_pipeline_en_5.5.0_3.0_1726242888744.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuned_model_on_custom_dataset_700k_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuned_model_on_custom_dataset_700k_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_model_on_custom_dataset_700k_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/rahulgaikwad007/Finetuned-model-on-custom-dataset-700k
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-finetuning_sentiment_model_3000_samples_vaishnavi514_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-finetuning_sentiment_model_3000_samples_vaishnavi514_pipeline_en.md
new file mode 100644
index 00000000000000..0b41675f2ee62b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-finetuning_sentiment_model_3000_samples_vaishnavi514_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_vaishnavi514_pipeline pipeline DistilBertForSequenceClassification from vaishnavi514
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_vaishnavi514_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_vaishnavi514_pipeline` is a English model originally trained by vaishnavi514.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_vaishnavi514_pipeline_en_5.5.0_3.0_1726242686871.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_vaishnavi514_pipeline_en_5.5.0_3.0_1726242686871.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_vaishnavi514_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_vaishnavi514_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_vaishnavi514_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/vaishnavi514/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-first_trained_trainer_finetuned_1_en.md b/docs/_posts/ahmedlone127/2024-09-13-first_trained_trainer_finetuned_1_en.md
new file mode 100644
index 00000000000000..53ef81951c97ae
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-first_trained_trainer_finetuned_1_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English first_trained_trainer_finetuned_1 RoBertaForQuestionAnswering from tshamardina
+author: John Snow Labs
+name: first_trained_trainer_finetuned_1
+date: 2024-09-13
+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.`first_trained_trainer_finetuned_1` is a English model originally trained by tshamardina.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/first_trained_trainer_finetuned_1_en_5.5.0_3.0_1726206605117.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/first_trained_trainer_finetuned_1_en_5.5.0_3.0_1726206605117.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|first_trained_trainer_finetuned_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/tshamardina/first_trained_trainer-finetuned-1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-gqa_roberta_german_legal_squad_part_augmented_2000_pipeline_de.md b/docs/_posts/ahmedlone127/2024-09-13-gqa_roberta_german_legal_squad_part_augmented_2000_pipeline_de.md
new file mode 100644
index 00000000000000..659bbdbb9290cf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-gqa_roberta_german_legal_squad_part_augmented_2000_pipeline_de.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: German gqa_roberta_german_legal_squad_part_augmented_2000_pipeline pipeline RoBertaForQuestionAnswering from farid1088
+author: John Snow Labs
+name: gqa_roberta_german_legal_squad_part_augmented_2000_pipeline
+date: 2024-09-13
+tags: [de, open_source, pipeline, onnx]
+task: Question Answering
+language: de
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`gqa_roberta_german_legal_squad_part_augmented_2000_pipeline` is a German model originally trained by farid1088.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gqa_roberta_german_legal_squad_part_augmented_2000_pipeline_de_5.5.0_3.0_1726231416887.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gqa_roberta_german_legal_squad_part_augmented_2000_pipeline_de_5.5.0_3.0_1726231416887.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("gqa_roberta_german_legal_squad_part_augmented_2000_pipeline", lang = "de")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("gqa_roberta_german_legal_squad_part_augmented_2000_pipeline", lang = "de")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gqa_roberta_german_legal_squad_part_augmented_2000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|de|
+|Size:|465.8 MB|
+
+## References
+
+https://huggingface.co/farid1088/GQA_RoBERTa_German_legal_SQuAD_part_augmented_2000
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-hunembert3_hu.md b/docs/_posts/ahmedlone127/2024-09-13-hunembert3_hu.md
new file mode 100644
index 00000000000000..1d680204005874
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-hunembert3_hu.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Hungarian hunembert3 BertForSequenceClassification from poltextlab
+author: John Snow Labs
+name: hunembert3
+date: 2024-09-13
+tags: [hu, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: hu
+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.`hunembert3` is a Hungarian model originally trained by poltextlab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hunembert3_hu_5.5.0_3.0_1726201684288.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hunembert3_hu_5.5.0_3.0_1726201684288.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hunembert3|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|hu|
+|Size:|414.7 MB|
+
+## References
+
+https://huggingface.co/poltextlab/HunEmBERT3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-imdbreviews_classification_roberta_v01_clf_finetuning_dfelorza_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-imdbreviews_classification_roberta_v01_clf_finetuning_dfelorza_pipeline_en.md
new file mode 100644
index 00000000000000..22292975d4b50c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-imdbreviews_classification_roberta_v01_clf_finetuning_dfelorza_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English imdbreviews_classification_roberta_v01_clf_finetuning_dfelorza_pipeline pipeline RoBertaForSequenceClassification from dfelorza
+author: John Snow Labs
+name: imdbreviews_classification_roberta_v01_clf_finetuning_dfelorza_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdbreviews_classification_roberta_v01_clf_finetuning_dfelorza_pipeline` is a English model originally trained by dfelorza.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdbreviews_classification_roberta_v01_clf_finetuning_dfelorza_pipeline_en_5.5.0_3.0_1726227329308.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdbreviews_classification_roberta_v01_clf_finetuning_dfelorza_pipeline_en_5.5.0_3.0_1726227329308.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("imdbreviews_classification_roberta_v01_clf_finetuning_dfelorza_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("imdbreviews_classification_roberta_v01_clf_finetuning_dfelorza_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|imdbreviews_classification_roberta_v01_clf_finetuning_dfelorza_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|300.4 MB|
+
+## References
+
+https://huggingface.co/dfelorza/imdbreviews_classification_roberta_v01_clf_finetuning
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-isom5240_task1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-isom5240_task1_pipeline_en.md
new file mode 100644
index 00000000000000..fd2872beac5129
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-isom5240_task1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English isom5240_task1_pipeline pipeline DistilBertForSequenceClassification from jackjc
+author: John Snow Labs
+name: isom5240_task1_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`isom5240_task1_pipeline` is a English model originally trained by jackjc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/isom5240_task1_pipeline_en_5.5.0_3.0_1726242991859.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/isom5240_task1_pipeline_en_5.5.0_3.0_1726242991859.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("isom5240_task1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("isom5240_task1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|isom5240_task1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jackjc/ISOM5240_Task1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-khipu_finetuned_amazon_reviews_multi_andrescastro_itm_en.md b/docs/_posts/ahmedlone127/2024-09-13-khipu_finetuned_amazon_reviews_multi_andrescastro_itm_en.md
new file mode 100644
index 00000000000000..2b933a13111078
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-khipu_finetuned_amazon_reviews_multi_andrescastro_itm_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English khipu_finetuned_amazon_reviews_multi_andrescastro_itm RoBertaForSequenceClassification from andrescastro-itm
+author: John Snow Labs
+name: khipu_finetuned_amazon_reviews_multi_andrescastro_itm
+date: 2024-09-13
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`khipu_finetuned_amazon_reviews_multi_andrescastro_itm` is a English model originally trained by andrescastro-itm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/khipu_finetuned_amazon_reviews_multi_andrescastro_itm_en_5.5.0_3.0_1726247064927.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/khipu_finetuned_amazon_reviews_multi_andrescastro_itm_en_5.5.0_3.0_1726247064927.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|khipu_finetuned_amazon_reviews_multi_andrescastro_itm|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|428.7 MB|
+
+## References
+
+https://huggingface.co/andrescastro-itm/khipu-finetuned-amazon_reviews_multi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-log_analysis_model_distilbert_teoogherghi_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-log_analysis_model_distilbert_teoogherghi_pipeline_en.md
new file mode 100644
index 00000000000000..d4923091ef524f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-log_analysis_model_distilbert_teoogherghi_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English log_analysis_model_distilbert_teoogherghi_pipeline pipeline DistilBertForSequenceClassification from teoogherghi
+author: John Snow Labs
+name: log_analysis_model_distilbert_teoogherghi_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`log_analysis_model_distilbert_teoogherghi_pipeline` is a English model originally trained by teoogherghi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/log_analysis_model_distilbert_teoogherghi_pipeline_en_5.5.0_3.0_1726262670569.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/log_analysis_model_distilbert_teoogherghi_pipeline_en_5.5.0_3.0_1726262670569.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("log_analysis_model_distilbert_teoogherghi_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("log_analysis_model_distilbert_teoogherghi_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|log_analysis_model_distilbert_teoogherghi_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/teoogherghi/Log-Analysis-Model-DistilBert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-marathi_marh_val_j_mr.md b/docs/_posts/ahmedlone127/2024-09-13-marathi_marh_val_j_mr.md
new file mode 100644
index 00000000000000..0b7805c4faa0ac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-marathi_marh_val_j_mr.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Marathi marathi_marh_val_j WhisperForCTC from simran14
+author: John Snow Labs
+name: marathi_marh_val_j
+date: 2024-09-13
+tags: [mr, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: mr
+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.`marathi_marh_val_j` is a Marathi model originally trained by simran14.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marathi_marh_val_j_mr_5.5.0_3.0_1726220393371.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marathi_marh_val_j_mr_5.5.0_3.0_1726220393371.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marathi_marh_val_j|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|mr|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/simran14/mr-val-j
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-marian_finetuned_kde4_english_tonga_tonga_islands_french_abhikr487_en.md b/docs/_posts/ahmedlone127/2024-09-13-marian_finetuned_kde4_english_tonga_tonga_islands_french_abhikr487_en.md
new file mode 100644
index 00000000000000..27260b6ffcce54
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-marian_finetuned_kde4_english_tonga_tonga_islands_french_abhikr487_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_abhikr487 MarianTransformer from abhikr487
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_abhikr487
+date: 2024-09-13
+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_abhikr487` is a English model originally trained by abhikr487.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_abhikr487_en_5.5.0_3.0_1726269414265.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_abhikr487_en_5.5.0_3.0_1726269414265.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_abhikr487|
+|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/abhikr487/marian-finetuned-kde4-en-to-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-marian_finetuned_kde4_english_tonga_tonga_islands_french_seokjin1013_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-marian_finetuned_kde4_english_tonga_tonga_islands_french_seokjin1013_pipeline_en.md
new file mode 100644
index 00000000000000..dd0ad5318afcdb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-marian_finetuned_kde4_english_tonga_tonga_islands_french_seokjin1013_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_seokjin1013_pipeline pipeline MarianTransformer from seokjin1013
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_seokjin1013_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_tonga_tonga_islands_french_seokjin1013_pipeline` is a English model originally trained by seokjin1013.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_seokjin1013_pipeline_en_5.5.0_3.0_1726192406838.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_seokjin1013_pipeline_en_5.5.0_3.0_1726192406838.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_seokjin1013_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_french_seokjin1013_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marian_finetuned_kde4_english_tonga_tonga_islands_french_seokjin1013_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|508.7 MB|
+
+## References
+
+https://huggingface.co/seokjin1013/marian-finetuned-kde4-en-to-fr
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-msc_baseline_marian_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-msc_baseline_marian_pipeline_en.md
new file mode 100644
index 00000000000000..b2e36b11854938
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-msc_baseline_marian_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English msc_baseline_marian_pipeline pipeline MarianTransformer from EricPeter
+author: John Snow Labs
+name: msc_baseline_marian_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`msc_baseline_marian_pipeline` is a English model originally trained by EricPeter.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/msc_baseline_marian_pipeline_en_5.5.0_3.0_1726192416577.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/msc_baseline_marian_pipeline_en_5.5.0_3.0_1726192416577.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("msc_baseline_marian_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("msc_baseline_marian_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|msc_baseline_marian_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|530.4 MB|
+
+## References
+
+https://huggingface.co/EricPeter/msc-baseline-marian
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-nepal_bhasa_repo_last_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-nepal_bhasa_repo_last_pipeline_en.md
new file mode 100644
index 00000000000000..871efdd15840d3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-nepal_bhasa_repo_last_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English nepal_bhasa_repo_last_pipeline pipeline DistilBertForSequenceClassification from aghiles-s
+author: John Snow Labs
+name: nepal_bhasa_repo_last_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nepal_bhasa_repo_last_pipeline` is a English model originally trained by aghiles-s.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nepal_bhasa_repo_last_pipeline_en_5.5.0_3.0_1726242494766.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nepal_bhasa_repo_last_pipeline_en_5.5.0_3.0_1726242494766.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nepal_bhasa_repo_last_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nepal_bhasa_repo_last_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nepal_bhasa_repo_last_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/aghiles-s/new_repo_last
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_ericlaycock_en.md b/docs/_posts/ahmedlone127/2024-09-13-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_ericlaycock_en.md
new file mode 100644
index 00000000000000..8b6c450ffad577
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_ericlaycock_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_ericlaycock MarianTransformer from ericlaycock
+author: John Snow Labs
+name: opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_ericlaycock
+date: 2024-09-13
+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_ericlaycock` is a English model originally trained by ericlaycock.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_ericlaycock_en_5.5.0_3.0_1726268929973.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_ericlaycock_en_5.5.0_3.0_1726268929973.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_ericlaycock|
+|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/ericlaycock/opus-mt-en-ro-finetuned-en-to-ro
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-opus_maltese_russian_english_finetuned_russian_tonga_tonga_islands_english_vsweatherfield_en.md b/docs/_posts/ahmedlone127/2024-09-13-opus_maltese_russian_english_finetuned_russian_tonga_tonga_islands_english_vsweatherfield_en.md
new file mode 100644
index 00000000000000..57ab48c13c3bb7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-opus_maltese_russian_english_finetuned_russian_tonga_tonga_islands_english_vsweatherfield_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_russian_english_finetuned_russian_tonga_tonga_islands_english_vsweatherfield MarianTransformer from vsweatherfield
+author: John Snow Labs
+name: opus_maltese_russian_english_finetuned_russian_tonga_tonga_islands_english_vsweatherfield
+date: 2024-09-13
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_russian_english_finetuned_russian_tonga_tonga_islands_english_vsweatherfield` is a English model originally trained by vsweatherfield.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_russian_english_finetuned_russian_tonga_tonga_islands_english_vsweatherfield_en_5.5.0_3.0_1726268756447.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_vsweatherfield_en_5.5.0_3.0_1726268756447.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_russian_english_finetuned_russian_tonga_tonga_islands_english_vsweatherfield|
+|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/vsweatherfield/opus-mt-ru-en-finetuned-ru-to-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-opus_maltese_turkish_english_finetuned_npomo_english_10_epochs_en.md b/docs/_posts/ahmedlone127/2024-09-13-opus_maltese_turkish_english_finetuned_npomo_english_10_epochs_en.md
new file mode 100644
index 00000000000000..68843b91570ff9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-opus_maltese_turkish_english_finetuned_npomo_english_10_epochs_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_turkish_english_finetuned_npomo_english_10_epochs MarianTransformer from UnassumingOwl
+author: John Snow Labs
+name: opus_maltese_turkish_english_finetuned_npomo_english_10_epochs
+date: 2024-09-13
+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_turkish_english_finetuned_npomo_english_10_epochs` is a English model originally trained by UnassumingOwl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_turkish_english_finetuned_npomo_english_10_epochs_en_5.5.0_3.0_1726268563937.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_turkish_english_finetuned_npomo_english_10_epochs_en_5.5.0_3.0_1726268563937.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_turkish_english_finetuned_npomo_english_10_epochs|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|525.2 MB|
+
+## References
+
+https://huggingface.co/UnassumingOwl/opus-mt-tr-en-finetuned-npomo-en-10-epochs
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-opus_maltese_turkish_english_finetuned_npomo_english_10_epochs_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-opus_maltese_turkish_english_finetuned_npomo_english_10_epochs_pipeline_en.md
new file mode 100644
index 00000000000000..c6382e7726820f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-opus_maltese_turkish_english_finetuned_npomo_english_10_epochs_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_turkish_english_finetuned_npomo_english_10_epochs_pipeline pipeline MarianTransformer from UnassumingOwl
+author: John Snow Labs
+name: opus_maltese_turkish_english_finetuned_npomo_english_10_epochs_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_turkish_english_finetuned_npomo_english_10_epochs_pipeline` is a English model originally trained by UnassumingOwl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_turkish_english_finetuned_npomo_english_10_epochs_pipeline_en_5.5.0_3.0_1726268589897.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_turkish_english_finetuned_npomo_english_10_epochs_pipeline_en_5.5.0_3.0_1726268589897.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_turkish_english_finetuned_npomo_english_10_epochs_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_turkish_english_finetuned_npomo_english_10_epochs_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_turkish_english_finetuned_npomo_english_10_epochs_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|525.7 MB|
+
+## References
+
+https://huggingface.co/UnassumingOwl/opus-mt-tr-en-finetuned-npomo-en-10-epochs
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-qa_for_somali_model_en.md b/docs/_posts/ahmedlone127/2024-09-13-qa_for_somali_model_en.md
new file mode 100644
index 00000000000000..3074b9eccc5485
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-qa_for_somali_model_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English qa_for_somali_model RoBertaForQuestionAnswering from Raylei231
+author: John Snow Labs
+name: qa_for_somali_model
+date: 2024-09-13
+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.`qa_for_somali_model` is a English model originally trained by Raylei231.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/qa_for_somali_model_en_5.5.0_3.0_1726207208845.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/qa_for_somali_model_en_5.5.0_3.0_1726207208845.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|qa_for_somali_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|457.4 MB|
+
+## References
+
+https://huggingface.co/Raylei231/QA_for_SO_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-random_english_tonga_tonga_islands_french_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-random_english_tonga_tonga_islands_french_pipeline_en.md
new file mode 100644
index 00000000000000..a72eb0fd473421
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-random_english_tonga_tonga_islands_french_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English random_english_tonga_tonga_islands_french_pipeline pipeline MarianTransformer from Jingyi28
+author: John Snow Labs
+name: random_english_tonga_tonga_islands_french_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`random_english_tonga_tonga_islands_french_pipeline` is a English model originally trained by Jingyi28.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/random_english_tonga_tonga_islands_french_pipeline_en_5.5.0_3.0_1726192255735.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/random_english_tonga_tonga_islands_french_pipeline_en_5.5.0_3.0_1726192255735.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("random_english_tonga_tonga_islands_french_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("random_english_tonga_tonga_islands_french_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|random_english_tonga_tonga_islands_french_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|510.3 MB|
+
+## References
+
+https://huggingface.co/Jingyi28/random-en-to-fr
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-roberta_base_epoch_60_en.md b/docs/_posts/ahmedlone127/2024-09-13-roberta_base_epoch_60_en.md
new file mode 100644
index 00000000000000..53a4d57f0b18ad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-roberta_base_epoch_60_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_epoch_60 RoBertaEmbeddings from yanaiela
+author: John Snow Labs
+name: roberta_base_epoch_60
+date: 2024-09-13
+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_60` is a English model originally trained by yanaiela.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_60_en_5.5.0_3.0_1726197480823.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_epoch_60_en_5.5.0_3.0_1726197480823.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_squad_roberta_v2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|463.4 MB|
+
+## References
+
+https://huggingface.co/seviladiguzel/roberta-base-finetuned-squad_roberta_v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-roberta_base_finetuned_squad_roberta_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-roberta_base_finetuned_squad_roberta_v2_pipeline_en.md
new file mode 100644
index 00000000000000..e0f059bc40695c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-roberta_base_finetuned_squad_roberta_v2_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_base_finetuned_squad_roberta_v2_pipeline pipeline RoBertaForQuestionAnswering from seviladiguzel
+author: John Snow Labs
+name: roberta_base_finetuned_squad_roberta_v2_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_squad_roberta_v2_pipeline` is a English model originally trained by seviladiguzel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_squad_roberta_v2_pipeline_en_5.5.0_3.0_1726206838942.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_squad_roberta_v2_pipeline_en_5.5.0_3.0_1726206838942.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_roberta_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_finetuned_squad_roberta_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_squad_roberta_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|463.4 MB|
+
+## References
+
+https://huggingface.co/seviladiguzel/roberta-base-finetuned-squad_roberta_v2
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-roberta_base_imdb_saved_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-roberta_base_imdb_saved_pipeline_en.md
new file mode 100644
index 00000000000000..bb4889821b39e7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-roberta_base_imdb_saved_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_imdb_saved_pipeline pipeline RoBertaForSequenceClassification from thaile
+author: John Snow Labs
+name: roberta_base_imdb_saved_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_imdb_saved_pipeline` is a English model originally trained by thaile.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_imdb_saved_pipeline_en_5.5.0_3.0_1726227927738.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_imdb_saved_pipeline_en_5.5.0_3.0_1726227927738.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_imdb_saved_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_imdb_saved_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_imdb_saved_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|463.9 MB|
+
+## References
+
+https://huggingface.co/thaile/roberta-base-imdb-saved
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-roberta_base_squad2_p60_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-roberta_base_squad2_p60_pipeline_en.md
new file mode 100644
index 00000000000000..92538235b85983
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-roberta_base_squad2_p60_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_base_squad2_p60_pipeline pipeline RoBertaForQuestionAnswering from pminha
+author: John Snow Labs
+name: roberta_base_squad2_p60_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_squad2_p60_pipeline` is a English model originally trained by pminha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_squad2_p60_pipeline_en_5.5.0_3.0_1726206993027.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_squad2_p60_pipeline_en_5.5.0_3.0_1726206993027.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_squad2_p60_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_squad2_p60_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_squad2_p60_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|310.0 MB|
+
+## References
+
+https://huggingface.co/pminha/roberta-base-squad2-p60
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-roberta_legal_german_cased_german_legal_squad_17_pipeline_de.md b/docs/_posts/ahmedlone127/2024-09-13-roberta_legal_german_cased_german_legal_squad_17_pipeline_de.md
new file mode 100644
index 00000000000000..5cf49dcaf5ae50
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-roberta_legal_german_cased_german_legal_squad_17_pipeline_de.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: German roberta_legal_german_cased_german_legal_squad_17_pipeline pipeline RoBertaForQuestionAnswering from farid1088
+author: John Snow Labs
+name: roberta_legal_german_cased_german_legal_squad_17_pipeline
+date: 2024-09-13
+tags: [de, open_source, pipeline, onnx]
+task: Question Answering
+language: de
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_legal_german_cased_german_legal_squad_17_pipeline` is a German model originally trained by farid1088.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_legal_german_cased_german_legal_squad_17_pipeline_de_5.5.0_3.0_1726206702404.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_17_pipeline_de_5.5.0_3.0_1726206702404.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_legal_german_cased_german_legal_squad_17_pipeline", lang = "de")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_legal_german_cased_german_legal_squad_17_pipeline", lang = "de")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_legal_german_cased_german_legal_squad_17_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|de|
+|Size:|465.8 MB|
+
+## References
+
+https://huggingface.co/farid1088/RoBERTa-legal-de-cased_German_legal_SQuAD_17
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-sent_bert_base_nli_ct_en.md b/docs/_posts/ahmedlone127/2024-09-13-sent_bert_base_nli_ct_en.md
new file mode 100644
index 00000000000000..986d16ab1a9599
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-sent_bert_base_nli_ct_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_nli_ct BertSentenceEmbeddings from Contrastive-Tension
+author: John Snow Labs
+name: sent_bert_base_nli_ct
+date: 2024-09-13
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_base_nli_ct` is a English model originally trained by Contrastive-Tension.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_nli_ct_en_5.5.0_3.0_1726246033143.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_nli_ct_en_5.5.0_3.0_1726246033143.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_gbert_biom_translation_large|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/ikim-uk-essen/GBERT-BioM-Translation-large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-sent_indo_legalbert_id.md b/docs/_posts/ahmedlone127/2024-09-13-sent_indo_legalbert_id.md
new file mode 100644
index 00000000000000..6cf923b9bafaec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-sent_indo_legalbert_id.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Indonesian sent_indo_legalbert BertSentenceEmbeddings from archi-ai
+author: John Snow Labs
+name: sent_indo_legalbert
+date: 2024-09-13
+tags: [id, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: id
+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_indo_legalbert` is a Indonesian model originally trained by archi-ai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_indo_legalbert_id_5.5.0_3.0_1726230093671.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_indo_legalbert_id_5.5.0_3.0_1726230093671.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_indo_legalbert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|id|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/archi-ai/Indo-LegalBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-sent_jobgbert_pipeline_de.md b/docs/_posts/ahmedlone127/2024-09-13-sent_jobgbert_pipeline_de.md
new file mode 100644
index 00000000000000..1a853ac4e4e054
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-sent_jobgbert_pipeline_de.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: German sent_jobgbert_pipeline pipeline BertSentenceEmbeddings from agne
+author: John Snow Labs
+name: sent_jobgbert_pipeline
+date: 2024-09-13
+tags: [de, open_source, pipeline, onnx]
+task: Embeddings
+language: de
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_jobgbert_pipeline` is a German model originally trained by agne.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_jobgbert_pipeline_de_5.5.0_3.0_1726229925560.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_jobgbert_pipeline_de_5.5.0_3.0_1726229925560.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_jobgbert_pipeline", lang = "de")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_jobgbert_pipeline", lang = "de")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_jobgbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|de|
+|Size:|410.1 MB|
+
+## References
+
+https://huggingface.co/agne/jobGBERT
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-sent_varta_bert_xx.md b/docs/_posts/ahmedlone127/2024-09-13-sent_varta_bert_xx.md
new file mode 100644
index 00000000000000..a06e19357e9587
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-sent_varta_bert_xx.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Multilingual sent_varta_bert BertSentenceEmbeddings from rahular
+author: John Snow Labs
+name: sent_varta_bert
+date: 2024-09-13
+tags: [xx, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: xx
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_varta_bert` is a Multilingual model originally trained by rahular.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_varta_bert_xx_5.5.0_3.0_1726224153836.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_varta_bert_xx_5.5.0_3.0_1726224153836.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_varta_bert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|xx|
+|Size:|691.1 MB|
+
+## References
+
+https://huggingface.co/rahular/varta-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-sms_spam_model_v1_2_en.md b/docs/_posts/ahmedlone127/2024-09-13-sms_spam_model_v1_2_en.md
new file mode 100644
index 00000000000000..30b7a25f438450
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-sms_spam_model_v1_2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sms_spam_model_v1_2 DistilBertForSequenceClassification from xia0t1an
+author: John Snow Labs
+name: sms_spam_model_v1_2
+date: 2024-09-13
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sms_spam_model_v1_2` is a English model originally trained by xia0t1an.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sms_spam_model_v1_2_en_5.5.0_3.0_1726242374333.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sms_spam_model_v1_2_en_5.5.0_3.0_1726242374333.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|splade_pp_english_v2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|en|
+|Size:|407.4 MB|
+
+## References
+
+https://huggingface.co/prithivida/Splade_PP_en_v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-tamil_codemixed_abusive_muril_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-tamil_codemixed_abusive_muril_pipeline_en.md
new file mode 100644
index 00000000000000..2d586b826b89f8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-tamil_codemixed_abusive_muril_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English tamil_codemixed_abusive_muril_pipeline pipeline BertForSequenceClassification from Hate-speech-CNERG
+author: John Snow Labs
+name: tamil_codemixed_abusive_muril_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tamil_codemixed_abusive_muril_pipeline` is a English model originally trained by Hate-speech-CNERG.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tamil_codemixed_abusive_muril_pipeline_en_5.5.0_3.0_1726201341747.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tamil_codemixed_abusive_muril_pipeline_en_5.5.0_3.0_1726201341747.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tamil_codemixed_abusive_muril_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tamil_codemixed_abusive_muril_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tamil_codemixed_abusive_muril_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|892.7 MB|
+
+## References
+
+https://huggingface.co/Hate-speech-CNERG/tamil-codemixed-abusive-MuRIL
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-test_seven_ko.md b/docs/_posts/ahmedlone127/2024-09-13-test_seven_ko.md
new file mode 100644
index 00000000000000..6ea4d0f38c9980
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-test_seven_ko.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Korean test_seven WhisperForCTC from kyungmin011029
+author: John Snow Labs
+name: test_seven
+date: 2024-09-13
+tags: [ko, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: ko
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_seven` is a Korean model originally trained by kyungmin011029.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_seven_ko_5.5.0_3.0_1726217383045.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_seven_ko_5.5.0_3.0_1726217383045.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_seven|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|ko|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/kyungmin011029/test_seven
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-text_classification_rachelle_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-text_classification_rachelle_pipeline_en.md
new file mode 100644
index 00000000000000..ad15ef6109287d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-text_classification_rachelle_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English text_classification_rachelle_pipeline pipeline DistilBertForSequenceClassification from RachelLe
+author: John Snow Labs
+name: text_classification_rachelle_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`text_classification_rachelle_pipeline` is a English model originally trained by RachelLe.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/text_classification_rachelle_pipeline_en_5.5.0_3.0_1726262770339.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/text_classification_rachelle_pipeline_en_5.5.0_3.0_1726262770339.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("text_classification_rachelle_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("text_classification_rachelle_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|text_classification_rachelle_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/RachelLe/text_classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-tiny_bert_0102_4000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-tiny_bert_0102_4000_pipeline_en.md
new file mode 100644
index 00000000000000..b35cb88f19fc2f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-tiny_bert_0102_4000_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English tiny_bert_0102_4000_pipeline pipeline AlbertForSequenceClassification from gg-ai
+author: John Snow Labs
+name: tiny_bert_0102_4000_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tiny_bert_0102_4000_pipeline` is a English model originally trained by gg-ai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_bert_0102_4000_pipeline_en_5.5.0_3.0_1726225701285.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_bert_0102_4000_pipeline_en_5.5.0_3.0_1726225701285.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tiny_bert_0102_4000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tiny_bert_0102_4000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_bert_0102_4000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|20.5 MB|
+
+## References
+
+https://huggingface.co/gg-ai/tiny-bert-0102-4000
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- AlbertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-tiny_english_emsassist_2_25_0_15_16_1e_05_sandy_sweep_4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-tiny_english_emsassist_2_25_0_15_16_1e_05_sandy_sweep_4_pipeline_en.md
new file mode 100644
index 00000000000000..b18255b4b05ed8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-tiny_english_emsassist_2_25_0_15_16_1e_05_sandy_sweep_4_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English tiny_english_emsassist_2_25_0_15_16_1e_05_sandy_sweep_4_pipeline pipeline WhisperForCTC from saahith
+author: John Snow Labs
+name: tiny_english_emsassist_2_25_0_15_16_1e_05_sandy_sweep_4_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tiny_english_emsassist_2_25_0_15_16_1e_05_sandy_sweep_4_pipeline` is a English model originally trained by saahith.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_english_emsassist_2_25_0_15_16_1e_05_sandy_sweep_4_pipeline_en_5.5.0_3.0_1726254010467.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_english_emsassist_2_25_0_15_16_1e_05_sandy_sweep_4_pipeline_en_5.5.0_3.0_1726254010467.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tiny_english_emsassist_2_25_0_15_16_1e_05_sandy_sweep_4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tiny_english_emsassist_2_25_0_15_16_1e_05_sandy_sweep_4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_english_emsassist_2_25_0_15_16_1e_05_sandy_sweep_4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|394.7 MB|
+
+## References
+
+https://huggingface.co/saahith/tiny.en-EMSAssist-2-25-0.15-16-1e-05-sandy-sweep-4
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-toxic_comment_model_ethos_ft_en.md b/docs/_posts/ahmedlone127/2024-09-13-toxic_comment_model_ethos_ft_en.md
new file mode 100644
index 00000000000000..efa1124f6eabe1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-toxic_comment_model_ethos_ft_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English toxic_comment_model_ethos_ft DistilBertForSequenceClassification from fatmhd1995
+author: John Snow Labs
+name: toxic_comment_model_ethos_ft
+date: 2024-09-13
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`toxic_comment_model_ethos_ft` is a English model originally trained by fatmhd1995.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/toxic_comment_model_ethos_ft_en_5.5.0_3.0_1726242262688.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/toxic_comment_model_ethos_ft_en_5.5.0_3.0_1726242262688.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|toxic_comment_model_ethos_ft|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/fatmhd1995/toxic_comment_model_ethos_ft
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-tweets_text_generation_sentiment_analysis_uploaded0519_en.md b/docs/_posts/ahmedlone127/2024-09-13-tweets_text_generation_sentiment_analysis_uploaded0519_en.md
new file mode 100644
index 00000000000000..bdf2edee52bd8e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-tweets_text_generation_sentiment_analysis_uploaded0519_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English tweets_text_generation_sentiment_analysis_uploaded0519 RoBertaForSequenceClassification from WooHoo86
+author: John Snow Labs
+name: tweets_text_generation_sentiment_analysis_uploaded0519
+date: 2024-09-13
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tweets_text_generation_sentiment_analysis_uploaded0519` is a English model originally trained by WooHoo86.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tweets_text_generation_sentiment_analysis_uploaded0519_en_5.5.0_3.0_1726187808763.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tweets_text_generation_sentiment_analysis_uploaded0519_en_5.5.0_3.0_1726187808763.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tweets_text_generation_sentiment_analysis_uploaded0519|
+|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/WooHoo86/tweets-text-generation-sentiment-analysis-uploaded0519
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-twitter_roberta_base_dec2021_tweet_topic_multi_2020_en.md b/docs/_posts/ahmedlone127/2024-09-13-twitter_roberta_base_dec2021_tweet_topic_multi_2020_en.md
new file mode 100644
index 00000000000000..fb7cc0316022ea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-twitter_roberta_base_dec2021_tweet_topic_multi_2020_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English twitter_roberta_base_dec2021_tweet_topic_multi_2020 RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: twitter_roberta_base_dec2021_tweet_topic_multi_2020
+date: 2024-09-13
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_dec2021_tweet_topic_multi_2020` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_dec2021_tweet_topic_multi_2020_en_5.5.0_3.0_1726187706546.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_dec2021_tweet_topic_multi_2020_en_5.5.0_3.0_1726187706546.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_dec2021_tweet_topic_multi_2020|
+|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/cardiffnlp/twitter-roberta-base-dec2021-tweet-topic-multi-2020
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-whisper_small_ewe_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-whisper_small_ewe_pipeline_en.md
new file mode 100644
index 00000000000000..e740bd6930455a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-whisper_small_ewe_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_ewe_pipeline pipeline WhisperForCTC from abiyo27
+author: John Snow Labs
+name: whisper_small_ewe_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_ewe_pipeline` is a English model originally trained by abiyo27.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_ewe_pipeline_en_5.5.0_3.0_1726250434439.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_ewe_pipeline_en_5.5.0_3.0_1726250434439.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_ewe_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_ewe_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_ewe_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/abiyo27/whisper-small-ewe
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-whisper_small_ft_001_pipeline_hi.md b/docs/_posts/ahmedlone127/2024-09-13-whisper_small_ft_001_pipeline_hi.md
new file mode 100644
index 00000000000000..424677e1f0b7f6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-whisper_small_ft_001_pipeline_hi.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Hindi whisper_small_ft_001_pipeline pipeline WhisperForCTC from shinsu
+author: John Snow Labs
+name: whisper_small_ft_001_pipeline
+date: 2024-09-13
+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_ft_001_pipeline` is a Hindi model originally trained by shinsu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_ft_001_pipeline_hi_5.5.0_3.0_1726221839347.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_ft_001_pipeline_hi_5.5.0_3.0_1726221839347.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_ft_001_pipeline", lang = "hi")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_ft_001_pipeline", lang = "hi")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_ft_001_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|hi|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/shinsu/whisper-small-ft-001
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-whisper_small_voice_conversion_korean_10min_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-whisper_small_voice_conversion_korean_10min_pipeline_en.md
new file mode 100644
index 00000000000000..ce0fd4178d184a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-whisper_small_voice_conversion_korean_10min_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_voice_conversion_korean_10min_pipeline pipeline WhisperForCTC from ghost613
+author: John Snow Labs
+name: whisper_small_voice_conversion_korean_10min_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_voice_conversion_korean_10min_pipeline` is a English model originally trained by ghost613.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_voice_conversion_korean_10min_pipeline_en_5.5.0_3.0_1726257042476.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_voice_conversion_korean_10min_pipeline_en_5.5.0_3.0_1726257042476.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_voice_conversion_korean_10min_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_voice_conversion_korean_10min_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_voice_conversion_korean_10min_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/ghost613/whisper-small-voice-conversion-korean-10min
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-withinapps_ndd_claroline_test_tags_cwadj_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-withinapps_ndd_claroline_test_tags_cwadj_pipeline_en.md
new file mode 100644
index 00000000000000..b0968c571e3c93
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-withinapps_ndd_claroline_test_tags_cwadj_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English withinapps_ndd_claroline_test_tags_cwadj_pipeline pipeline DistilBertForSequenceClassification from lgk03
+author: John Snow Labs
+name: withinapps_ndd_claroline_test_tags_cwadj_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`withinapps_ndd_claroline_test_tags_cwadj_pipeline` is a English model originally trained by lgk03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/withinapps_ndd_claroline_test_tags_cwadj_pipeline_en_5.5.0_3.0_1726262878733.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/withinapps_ndd_claroline_test_tags_cwadj_pipeline_en_5.5.0_3.0_1726262878733.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("withinapps_ndd_claroline_test_tags_cwadj_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("withinapps_ndd_claroline_test_tags_cwadj_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|withinapps_ndd_claroline_test_tags_cwadj_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lgk03/WITHINAPPS_NDD-claroline_test-tags-CWAdj
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-xlm_r_galen_ctebmsp_es.md b/docs/_posts/ahmedlone127/2024-09-13-xlm_r_galen_ctebmsp_es.md
new file mode 100644
index 00000000000000..59c1795930b9c4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-xlm_r_galen_ctebmsp_es.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Castilian, Spanish xlm_r_galen_ctebmsp XlmRoBertaForTokenClassification from IIC
+author: John Snow Labs
+name: xlm_r_galen_ctebmsp
+date: 2024-09-13
+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_ctebmsp` is a Castilian, Spanish model originally trained by IIC.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_r_galen_ctebmsp_es_5.5.0_3.0_1726211613163.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_r_galen_ctebmsp_es_5.5.0_3.0_1726211613163.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_ctebmsp|
+|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-ctebmsp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-xlm_roberta_base_final_mixed_aug_insert_w2v_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-xlm_roberta_base_final_mixed_aug_insert_w2v_pipeline_en.md
new file mode 100644
index 00000000000000..bac0212b3caa05
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-xlm_roberta_base_final_mixed_aug_insert_w2v_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_final_mixed_aug_insert_w2v_pipeline pipeline XlmRoBertaForSequenceClassification from ThuyNT03
+author: John Snow Labs
+name: xlm_roberta_base_final_mixed_aug_insert_w2v_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_final_mixed_aug_insert_w2v_pipeline` is a English model originally trained by ThuyNT03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_final_mixed_aug_insert_w2v_pipeline_en_5.5.0_3.0_1726259208383.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_final_mixed_aug_insert_w2v_pipeline_en_5.5.0_3.0_1726259208383.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_final_mixed_aug_insert_w2v_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_final_mixed_aug_insert_w2v_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_final_mixed_aug_insert_w2v_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|796.5 MB|
+
+## References
+
+https://huggingface.co/ThuyNT03/xlm-roberta-base-Final_Mixed-aug_insert_w2v
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-xlm_roberta_base_finetuned_panx_french_monkdalma_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-xlm_roberta_base_finetuned_panx_french_monkdalma_pipeline_en.md
new file mode 100644
index 00000000000000..6b557336920a43
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-xlm_roberta_base_finetuned_panx_french_monkdalma_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_monkdalma_pipeline pipeline XlmRoBertaForTokenClassification from MonkDalma
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_monkdalma_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_monkdalma_pipeline` is a English model originally trained by MonkDalma.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_monkdalma_pipeline_en_5.5.0_3.0_1726215698897.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_monkdalma_pipeline_en_5.5.0_3.0_1726215698897.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_monkdalma_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_monkdalma_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_monkdalma_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|840.9 MB|
+
+## References
+
+https://huggingface.co/MonkDalma/xlm-roberta-base-finetuned-panx-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-xlm_roberta_base_finetuned_panx_french_vonewman_en.md b/docs/_posts/ahmedlone127/2024-09-13-xlm_roberta_base_finetuned_panx_french_vonewman_en.md
new file mode 100644
index 00000000000000..cc3d1725e03fd8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-xlm_roberta_base_finetuned_panx_french_vonewman_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_vonewman XlmRoBertaForTokenClassification from vonewman
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_vonewman
+date: 2024-09-13
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_vonewman` is a English model originally trained by vonewman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_vonewman_en_5.5.0_3.0_1726215490144.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_vonewman_en_5.5.0_3.0_1726215490144.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_vonewman|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|823.9 MB|
+
+## References
+
+https://huggingface.co/vonewman/xlm-roberta-base-finetuned-panx-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-xlm_roberta_base_finetuned_panx_german_french_aaa01101312_en.md b/docs/_posts/ahmedlone127/2024-09-13-xlm_roberta_base_finetuned_panx_german_french_aaa01101312_en.md
new file mode 100644
index 00000000000000..1b197c3b3f2d41
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-xlm_roberta_base_finetuned_panx_german_french_aaa01101312_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_aaa01101312 XlmRoBertaForTokenClassification from AAA01101312
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_aaa01101312
+date: 2024-09-13
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_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_french_aaa01101312_en_5.5.0_3.0_1726216303953.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_aaa01101312_en_5.5.0_3.0_1726216303953.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_aaa01101312|
+|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/AAA01101312/xlm-roberta-base-finetuned-panx-de-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-xlm_roberta_base_finetuned_panx_german_french_jgriffi_en.md b/docs/_posts/ahmedlone127/2024-09-13-xlm_roberta_base_finetuned_panx_german_french_jgriffi_en.md
new file mode 100644
index 00000000000000..ff1756b3f36d35
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-xlm_roberta_base_finetuned_panx_german_french_jgriffi_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_jgriffi XlmRoBertaForTokenClassification from jgriffi
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_jgriffi
+date: 2024-09-13
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_jgriffi` is a English model originally trained by jgriffi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_jgriffi_en_5.5.0_3.0_1726238882397.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_jgriffi_en_5.5.0_3.0_1726238882397.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_jgriffi|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|858.5 MB|
+
+## References
+
+https://huggingface.co/jgriffi/xlm-roberta-base-finetuned-panx-de-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-xlm_roberta_base_finetuned_panx_german_french_jgriffi_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-13-xlm_roberta_base_finetuned_panx_german_french_jgriffi_pipeline_en.md
new file mode 100644
index 00000000000000..11a85bce706977
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-xlm_roberta_base_finetuned_panx_german_french_jgriffi_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_jgriffi_pipeline pipeline XlmRoBertaForTokenClassification from jgriffi
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_jgriffi_pipeline
+date: 2024-09-13
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_jgriffi_pipeline` is a English model originally trained by jgriffi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_jgriffi_pipeline_en_5.5.0_3.0_1726238943918.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_jgriffi_pipeline_en_5.5.0_3.0_1726238943918.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_jgriffi_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_jgriffi_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_jgriffi_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|858.5 MB|
+
+## References
+
+https://huggingface.co/jgriffi/xlm-roberta-base-finetuned-panx-de-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-13-xlm_roberta_base_finetuned_panx_italian_lee_soha_en.md b/docs/_posts/ahmedlone127/2024-09-13-xlm_roberta_base_finetuned_panx_italian_lee_soha_en.md
new file mode 100644
index 00000000000000..9ce29b83a2eff4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-13-xlm_roberta_base_finetuned_panx_italian_lee_soha_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_italian_lee_soha XlmRoBertaForTokenClassification from Lee-soha
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_italian_lee_soha
+date: 2024-09-13
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_italian_lee_soha` is a English model originally trained by Lee-soha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_lee_soha_en_5.5.0_3.0_1726239169683.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_lee_soha_en_5.5.0_3.0_1726239169683.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|adhd|
+|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/manal123/ADHD
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-albert_base_v2_wnli_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-albert_base_v2_wnli_pipeline_en.md
new file mode 100644
index 00000000000000..c9b81136550d3c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-albert_base_v2_wnli_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English albert_base_v2_wnli_pipeline pipeline AlbertForSequenceClassification from textattack
+author: John Snow Labs
+name: albert_base_v2_wnli_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`albert_base_v2_wnli_pipeline` is a English model originally trained by textattack.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_base_v2_wnli_pipeline_en_5.5.0_3.0_1726309455768.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_base_v2_wnli_pipeline_en_5.5.0_3.0_1726309455768.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("albert_base_v2_wnli_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("albert_base_v2_wnli_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_base_v2_wnli_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|44.2 MB|
+
+## References
+
+https://huggingface.co/textattack/albert-base-v2-WNLI
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- AlbertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-arabert_large_algerian_pipeline_ar.md b/docs/_posts/ahmedlone127/2024-09-14-arabert_large_algerian_pipeline_ar.md
new file mode 100644
index 00000000000000..e27dcbdf256438
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-arabert_large_algerian_pipeline_ar.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Arabic arabert_large_algerian_pipeline pipeline BertForSequenceClassification from Abdou
+author: John Snow Labs
+name: arabert_large_algerian_pipeline
+date: 2024-09-14
+tags: [ar, open_source, pipeline, onnx]
+task: Text Classification
+language: ar
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`arabert_large_algerian_pipeline` is a Arabic model originally trained by Abdou.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/arabert_large_algerian_pipeline_ar_5.5.0_3.0_1726348516763.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/arabert_large_algerian_pipeline_ar_5.5.0_3.0_1726348516763.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("arabert_large_algerian_pipeline", lang = "ar")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("arabert_large_algerian_pipeline", lang = "ar")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|arabert_large_algerian_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ar|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Abdou/arabert-large-algerian
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-arwiki_20230101_roberta_mlm_bots_pipeline_ar.md b/docs/_posts/ahmedlone127/2024-09-14-arwiki_20230101_roberta_mlm_bots_pipeline_ar.md
new file mode 100644
index 00000000000000..f469d3150138d7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-arwiki_20230101_roberta_mlm_bots_pipeline_ar.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Arabic arwiki_20230101_roberta_mlm_bots_pipeline pipeline RoBertaEmbeddings from SaiedAlshahrani
+author: John Snow Labs
+name: arwiki_20230101_roberta_mlm_bots_pipeline
+date: 2024-09-14
+tags: [ar, open_source, pipeline, onnx]
+task: Embeddings
+language: ar
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`arwiki_20230101_roberta_mlm_bots_pipeline` is a Arabic model originally trained by SaiedAlshahrani.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/arwiki_20230101_roberta_mlm_bots_pipeline_ar_5.5.0_3.0_1726338723341.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/arwiki_20230101_roberta_mlm_bots_pipeline_ar_5.5.0_3.0_1726338723341.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("arwiki_20230101_roberta_mlm_bots_pipeline", lang = "ar")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("arwiki_20230101_roberta_mlm_bots_pipeline", lang = "ar")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|arwiki_20230101_roberta_mlm_bots_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ar|
+|Size:|311.7 MB|
+
+## References
+
+https://huggingface.co/SaiedAlshahrani/arwiki_20230101_roberta_mlm_bots
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-banglabert_sentiment_pipeline_bn.md b/docs/_posts/ahmedlone127/2024-09-14-banglabert_sentiment_pipeline_bn.md
new file mode 100644
index 00000000000000..c3bb52cd0f5a6c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-banglabert_sentiment_pipeline_bn.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Bengali banglabert_sentiment_pipeline pipeline BertForSequenceClassification from ka05ar
+author: John Snow Labs
+name: banglabert_sentiment_pipeline
+date: 2024-09-14
+tags: [bn, open_source, pipeline, onnx]
+task: Text Classification
+language: bn
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`banglabert_sentiment_pipeline` is a Bengali model originally trained by ka05ar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/banglabert_sentiment_pipeline_bn_5.5.0_3.0_1726348021703.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/banglabert_sentiment_pipeline_bn_5.5.0_3.0_1726348021703.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("banglabert_sentiment_pipeline", lang = "bn")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("banglabert_sentiment_pipeline", lang = "bn")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|banglabert_sentiment_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|bn|
+|Size:|414.5 MB|
+
+## References
+
+https://huggingface.co/ka05ar/banglabert-sentiment
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-bert_base_german_cased_fluency_pipeline_de.md b/docs/_posts/ahmedlone127/2024-09-14-bert_base_german_cased_fluency_pipeline_de.md
new file mode 100644
index 00000000000000..f32b9bdb496f47
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-bert_base_german_cased_fluency_pipeline_de.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: German bert_base_german_cased_fluency_pipeline pipeline BertForSequenceClassification from EIStakovskii
+author: John Snow Labs
+name: bert_base_german_cased_fluency_pipeline
+date: 2024-09-14
+tags: [de, open_source, pipeline, onnx]
+task: Text Classification
+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 BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_german_cased_fluency_pipeline` is a German model originally trained by EIStakovskii.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_german_cased_fluency_pipeline_de_5.5.0_3.0_1726347874664.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_german_cased_fluency_pipeline_de_5.5.0_3.0_1726347874664.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_german_cased_fluency_pipeline", lang = "de")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_german_cased_fluency_pipeline", lang = "de")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_german_cased_fluency_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|de|
+|Size:|409.1 MB|
+
+## References
+
+https://huggingface.co/EIStakovskii/bert-base-german-cased_fluency
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-bert_base_multilingual_cased_sentiment_multilingual_xx.md b/docs/_posts/ahmedlone127/2024-09-14-bert_base_multilingual_cased_sentiment_multilingual_xx.md
new file mode 100644
index 00000000000000..46002e3aa9e485
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-bert_base_multilingual_cased_sentiment_multilingual_xx.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Multilingual bert_base_multilingual_cased_sentiment_multilingual BertForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: bert_base_multilingual_cased_sentiment_multilingual
+date: 2024-09-14
+tags: [xx, open_source, onnx, sequence_classification, bert]
+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 BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_multilingual_cased_sentiment_multilingual` is a Multilingual model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_multilingual_cased_sentiment_multilingual_xx_5.5.0_3.0_1726348126772.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_multilingual_cased_sentiment_multilingual_xx_5.5.0_3.0_1726348126772.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_multilingual_cased_sentiment_multilingual|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|xx|
+|Size:|667.3 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/bert-base-multilingual-cased-sentiment-multilingual
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-bert_base_uncased_ep_4_87_b_32_lr_4e_06_dp_0_1_swati_0_southern_sotho_true_fh_false_hs_0_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-bert_base_uncased_ep_4_87_b_32_lr_4e_06_dp_0_1_swati_0_southern_sotho_true_fh_false_hs_0_pipeline_en.md
new file mode 100644
index 00000000000000..ec9532ae2a1eba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-bert_base_uncased_ep_4_87_b_32_lr_4e_06_dp_0_1_swati_0_southern_sotho_true_fh_false_hs_0_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_uncased_ep_4_87_b_32_lr_4e_06_dp_0_1_swati_0_southern_sotho_true_fh_false_hs_0_pipeline pipeline BertForQuestionAnswering from danielkty22
+author: John Snow Labs
+name: bert_base_uncased_ep_4_87_b_32_lr_4e_06_dp_0_1_swati_0_southern_sotho_true_fh_false_hs_0_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_ep_4_87_b_32_lr_4e_06_dp_0_1_swati_0_southern_sotho_true_fh_false_hs_0_pipeline` is a English model originally trained by danielkty22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ep_4_87_b_32_lr_4e_06_dp_0_1_swati_0_southern_sotho_true_fh_false_hs_0_pipeline_en_5.5.0_3.0_1726327111093.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ep_4_87_b_32_lr_4e_06_dp_0_1_swati_0_southern_sotho_true_fh_false_hs_0_pipeline_en_5.5.0_3.0_1726327111093.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_ep_4_87_b_32_lr_4e_06_dp_0_1_swati_0_southern_sotho_true_fh_false_hs_0_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_ep_4_87_b_32_lr_4e_06_dp_0_1_swati_0_southern_sotho_true_fh_false_hs_0_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_ep_4_87_b_32_lr_4e_06_dp_0_1_swati_0_southern_sotho_true_fh_false_hs_0_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/danielkty22/bert-base-uncased-ep-4.87-b-32-lr-4e-06-dp-0.1-ss-0-st-True-fh-False-hs-0
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-bert_base_uncased_finetuned_squad_v2_lauraparra28_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-bert_base_uncased_finetuned_squad_v2_lauraparra28_pipeline_en.md
new file mode 100644
index 00000000000000..39fac8c471ee71
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-bert_base_uncased_finetuned_squad_v2_lauraparra28_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_uncased_finetuned_squad_v2_lauraparra28_pipeline pipeline BertForQuestionAnswering from lauraparra28
+author: John Snow Labs
+name: bert_base_uncased_finetuned_squad_v2_lauraparra28_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_finetuned_squad_v2_lauraparra28_pipeline` is a English model originally trained by lauraparra28.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_squad_v2_lauraparra28_pipeline_en_5.5.0_3.0_1726350048794.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_finetuned_squad_v2_lauraparra28_pipeline_en_5.5.0_3.0_1726350048794.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_finetuned_squad_v2_lauraparra28_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_finetuned_squad_v2_lauraparra28_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_finetuned_squad_v2_lauraparra28_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/lauraparra28/bert-base-uncased-finetuned-squad_v2
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-bert_finetuned_ner_alban12_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-bert_finetuned_ner_alban12_pipeline_en.md
new file mode 100644
index 00000000000000..0b4cc3affe4fcd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-bert_finetuned_ner_alban12_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_finetuned_ner_alban12_pipeline pipeline BertForTokenClassification from alban12
+author: John Snow Labs
+name: bert_finetuned_ner_alban12_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_ner_alban12_pipeline` is a English model originally trained by alban12.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_alban12_pipeline_en_5.5.0_3.0_1726305386837.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_ner_alban12_pipeline_en_5.5.0_3.0_1726305386837.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finetuned_ner_alban12_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finetuned_ner_alban12_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_ner_alban12_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|408.6 MB|
+
+## References
+
+https://huggingface.co/alban12/bert-finetuned-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-brwac_v1_3__checkpoint8_en.md b/docs/_posts/ahmedlone127/2024-09-14-brwac_v1_3__checkpoint8_en.md
new file mode 100644
index 00000000000000..109d6983e65d8b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-brwac_v1_3__checkpoint8_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English brwac_v1_3__checkpoint8 RoBertaEmbeddings from eduagarcia-temp
+author: John Snow Labs
+name: brwac_v1_3__checkpoint8
+date: 2024-09-14
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`brwac_v1_3__checkpoint8` is a English model originally trained by eduagarcia-temp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/brwac_v1_3__checkpoint8_en_5.5.0_3.0_1726334406897.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/brwac_v1_3__checkpoint8_en_5.5.0_3.0_1726334406897.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|brwac_v1_3__checkpoint8|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|298.6 MB|
+
+## References
+
+https://huggingface.co/eduagarcia-temp/brwac_v1_3__checkpoint8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-burmese_awesome_model_seq_en.md b/docs/_posts/ahmedlone127/2024-09-14-burmese_awesome_model_seq_en.md
new file mode 100644
index 00000000000000..761485d4fd6d71
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-burmese_awesome_model_seq_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_seq AlbertForSequenceClassification from mkim-MASI
+author: John Snow Labs
+name: burmese_awesome_model_seq
+date: 2024-09-14
+tags: [en, open_source, onnx, sequence_classification, albert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: AlbertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_seq` is a English model originally trained by mkim-MASI.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_seq_en_5.5.0_3.0_1726309336759.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_seq_en_5.5.0_3.0_1726309336759.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_ai_bled|
+|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/ai-bled/my_awesome_qa_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-burmese_awesome_qa_model_sazara_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-burmese_awesome_qa_model_sazara_pipeline_en.md
new file mode 100644
index 00000000000000..4a9fa8f1702750
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-burmese_awesome_qa_model_sazara_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_sazara_pipeline pipeline DistilBertForQuestionAnswering from sazara
+author: John Snow Labs
+name: burmese_awesome_qa_model_sazara_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_sazara_pipeline` is a English model originally trained by sazara.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_sazara_pipeline_en_5.5.0_3.0_1726335553323.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_sazara_pipeline_en_5.5.0_3.0_1726335553323.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_sazara_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_qa_model_sazara_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_sazara_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/sazara/my_awesome_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-burmese_fine_tuned_qa_model_en.md b/docs/_posts/ahmedlone127/2024-09-14-burmese_fine_tuned_qa_model_en.md
new file mode 100644
index 00000000000000..a90f29b3b197ff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-burmese_fine_tuned_qa_model_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English burmese_fine_tuned_qa_model RoBertaForQuestionAnswering from Jahanzaibrao
+author: John Snow Labs
+name: burmese_fine_tuned_qa_model
+date: 2024-09-14
+tags: [en, open_source, onnx, question_answering, roberta]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_fine_tuned_qa_model` is a English model originally trained by Jahanzaibrao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_fine_tuned_qa_model_en_5.5.0_3.0_1726342658902.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_fine_tuned_qa_model_en_5.5.0_3.0_1726342658902.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|clr_finetuned_roberta_large|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/SauravMaheshkar/clr-finetuned-roberta-large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-cnec_2_0_czert_b_base_cased_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-cnec_2_0_czert_b_base_cased_pipeline_en.md
new file mode 100644
index 00000000000000..6b52b6be2aa533
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-cnec_2_0_czert_b_base_cased_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English cnec_2_0_czert_b_base_cased_pipeline pipeline BertForTokenClassification from stulcrad
+author: John Snow Labs
+name: cnec_2_0_czert_b_base_cased_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cnec_2_0_czert_b_base_cased_pipeline` is a English model originally trained by stulcrad.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cnec_2_0_czert_b_base_cased_pipeline_en_5.5.0_3.0_1726306127760.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cnec_2_0_czert_b_base_cased_pipeline_en_5.5.0_3.0_1726306127760.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cnec_2_0_czert_b_base_cased_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cnec_2_0_czert_b_base_cased_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cnec_2_0_czert_b_base_cased_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|408.6 MB|
+
+## References
+
+https://huggingface.co/stulcrad/CNEC_2_0_Czert-B-base-cased
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-dataequity_opus_maltese_arabic_spanish_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-dataequity_opus_maltese_arabic_spanish_pipeline_en.md
new file mode 100644
index 00000000000000..1cbb95cbd0a8ba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-dataequity_opus_maltese_arabic_spanish_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dataequity_opus_maltese_arabic_spanish_pipeline pipeline MarianTransformer from dataequity
+author: John Snow Labs
+name: dataequity_opus_maltese_arabic_spanish_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dataequity_opus_maltese_arabic_spanish_pipeline` is a English model originally trained by dataequity.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dataequity_opus_maltese_arabic_spanish_pipeline_en_5.5.0_3.0_1726350581018.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dataequity_opus_maltese_arabic_spanish_pipeline_en_5.5.0_3.0_1726350581018.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dataequity_opus_maltese_arabic_spanish_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dataequity_opus_maltese_arabic_spanish_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dataequity_opus_maltese_arabic_spanish_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|527.3 MB|
+
+## References
+
+https://huggingface.co/dataequity/dataequity-opus-mt-ar-es
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-distilbert_base_uncased_finetuned_squad_jkhsong_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-distilbert_base_uncased_finetuned_squad_jkhsong_pipeline_en.md
new file mode 100644
index 00000000000000..f0551926aec7b7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-distilbert_base_uncased_finetuned_squad_jkhsong_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_jkhsong_pipeline pipeline DistilBertForQuestionAnswering from jkhsong
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_jkhsong_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_jkhsong_pipeline` is a English model originally trained by jkhsong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_jkhsong_pipeline_en_5.5.0_3.0_1726335548123.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_jkhsong_pipeline_en_5.5.0_3.0_1726335548123.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_jkhsong_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_jkhsong_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_jkhsong_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/jkhsong/distilbert-base-uncased-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-distilbert_base_uncased_tokenclassification_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-distilbert_base_uncased_tokenclassification_pipeline_en.md
new file mode 100644
index 00000000000000..daa0822fb4d479
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-distilbert_base_uncased_tokenclassification_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_tokenclassification_pipeline pipeline RoBertaForTokenClassification from urisoo
+author: John Snow Labs
+name: distilbert_base_uncased_tokenclassification_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_tokenclassification_pipeline` is a English model originally trained by urisoo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_tokenclassification_pipeline_en_5.5.0_3.0_1726301382626.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_tokenclassification_pipeline_en_5.5.0_3.0_1726301382626.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_tokenclassification_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_tokenclassification_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_tokenclassification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/urisoo/distilbert-base-uncased-tokenclassification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-distilbert_qa_bizlin_distil_model_en.md b/docs/_posts/ahmedlone127/2024-09-14-distilbert_qa_bizlin_distil_model_en.md
new file mode 100644
index 00000000000000..eb2b06d282fb6b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-distilbert_qa_bizlin_distil_model_en.md
@@ -0,0 +1,98 @@
+---
+layout: model
+title: English DistilBertForQuestionAnswering model (from pakupoko)
+author: John Snow Labs
+name: distilbert_qa_bizlin_distil_model
+date: 2024-09-14
+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. `bizlin-distil-model` is a English model originally trained by `pakupoko`.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_qa_bizlin_distil_model_en_5.5.0_3.0_1726335626921.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_qa_bizlin_distil_model_en_5.5.0_3.0_1726335626921.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_bizlin_distil_model","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_bizlin_distil_model","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.distil_bert.by_pakupoko").predict("""What is my name?|||"My name is Clara and I live in Berkeley.""")
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_qa_bizlin_distil_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|104.3 MB|
+
+## References
+
+References
+
+- https://huggingface.co/pakupoko/bizlin-distil-model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-distilroberta_base_mrpc_glue_gilbertoesp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-distilroberta_base_mrpc_glue_gilbertoesp_pipeline_en.md
new file mode 100644
index 00000000000000..f073c8e1134f44
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-distilroberta_base_mrpc_glue_gilbertoesp_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilroberta_base_mrpc_glue_gilbertoesp_pipeline pipeline RoBertaForSequenceClassification from gilbertoesp
+author: John Snow Labs
+name: distilroberta_base_mrpc_glue_gilbertoesp_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_mrpc_glue_gilbertoesp_pipeline` is a English model originally trained by gilbertoesp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_mrpc_glue_gilbertoesp_pipeline_en_5.5.0_3.0_1726272425013.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_mrpc_glue_gilbertoesp_pipeline_en_5.5.0_3.0_1726272425013.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilroberta_base_mrpc_glue_gilbertoesp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilroberta_base_mrpc_glue_gilbertoesp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_mrpc_glue_gilbertoesp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|308.6 MB|
+
+## References
+
+https://huggingface.co/gilbertoesp/distilroberta-base-mrpc-glue
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-efficient_mlm_m0_20_en.md b/docs/_posts/ahmedlone127/2024-09-14-efficient_mlm_m0_20_en.md
new file mode 100644
index 00000000000000..e1ea6993f046e4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-efficient_mlm_m0_20_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English efficient_mlm_m0_20 RoBertaEmbeddings from princeton-nlp
+author: John Snow Labs
+name: efficient_mlm_m0_20
+date: 2024-09-14
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`efficient_mlm_m0_20` is a English model originally trained by princeton-nlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/efficient_mlm_m0_20_en_5.5.0_3.0_1726334639324.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/efficient_mlm_m0_20_en_5.5.0_3.0_1726334639324.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_20|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|842.7 MB|
+
+## References
+
+https://huggingface.co/princeton-nlp/efficient_mlm_m0.20
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-efficient_mlm_m0_20_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-efficient_mlm_m0_20_pipeline_en.md
new file mode 100644
index 00000000000000..404a40e3338f83
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-efficient_mlm_m0_20_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English efficient_mlm_m0_20_pipeline pipeline RoBertaEmbeddings from princeton-nlp
+author: John Snow Labs
+name: efficient_mlm_m0_20_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`efficient_mlm_m0_20_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_20_pipeline_en_5.5.0_3.0_1726334876068.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/efficient_mlm_m0_20_pipeline_en_5.5.0_3.0_1726334876068.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("efficient_mlm_m0_20_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("efficient_mlm_m0_20_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|efficient_mlm_m0_20_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|842.8 MB|
+
+## References
+
+https://huggingface.co/princeton-nlp/efficient_mlm_m0.20
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-english_vietnamese_translation_en.md b/docs/_posts/ahmedlone127/2024-09-14-english_vietnamese_translation_en.md
new file mode 100644
index 00000000000000..8314c7aeda7939
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-english_vietnamese_translation_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English english_vietnamese_translation MarianTransformer from lainguyen
+author: John Snow Labs
+name: english_vietnamese_translation
+date: 2024-09-14
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`english_vietnamese_translation` is a English model originally trained by lainguyen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/english_vietnamese_translation_en_5.5.0_3.0_1726351574664.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/english_vietnamese_translation_en_5.5.0_3.0_1726351574664.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_marianmtmodel_v4_specialfrom_ccmatrix77k|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|509.5 MB|
+
+## References
+
+https://huggingface.co/HugginJake/Finetuned_MarianMTModel_v4_specialFrom_ccmatrix77k
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-finetuned_marianmtmodel_v4_specialfrom_ccmatrix77k_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-finetuned_marianmtmodel_v4_specialfrom_ccmatrix77k_pipeline_en.md
new file mode 100644
index 00000000000000..55a96c476f4c45
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-finetuned_marianmtmodel_v4_specialfrom_ccmatrix77k_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuned_marianmtmodel_v4_specialfrom_ccmatrix77k_pipeline pipeline MarianTransformer from HugginJake
+author: John Snow Labs
+name: finetuned_marianmtmodel_v4_specialfrom_ccmatrix77k_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_marianmtmodel_v4_specialfrom_ccmatrix77k_pipeline` is a English model originally trained by HugginJake.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_marianmtmodel_v4_specialfrom_ccmatrix77k_pipeline_en_5.5.0_3.0_1726350575974.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_marianmtmodel_v4_specialfrom_ccmatrix77k_pipeline_en_5.5.0_3.0_1726350575974.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuned_marianmtmodel_v4_specialfrom_ccmatrix77k_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuned_marianmtmodel_v4_specialfrom_ccmatrix77k_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_marianmtmodel_v4_specialfrom_ccmatrix77k_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|510.1 MB|
+
+## References
+
+https://huggingface.co/HugginJake/Finetuned_MarianMTModel_v4_specialFrom_ccmatrix77k
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-finroberta_en.md b/docs/_posts/ahmedlone127/2024-09-14-finroberta_en.md
new file mode 100644
index 00000000000000..000a2c4c96029e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-finroberta_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finroberta RoBertaEmbeddings from sm6342
+author: John Snow Labs
+name: finroberta
+date: 2024-09-14
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finroberta` is a English model originally trained by sm6342.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finroberta_en_5.5.0_3.0_1726300120854.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finroberta_en_5.5.0_3.0_1726300120854.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finroberta|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|310.7 MB|
+
+## References
+
+https://huggingface.co/sm6342/FinRoberta
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-finroberta_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-finroberta_pipeline_en.md
new file mode 100644
index 00000000000000..61670ed019aff9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-finroberta_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finroberta_pipeline pipeline RoBertaEmbeddings from sm6342
+author: John Snow Labs
+name: finroberta_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finroberta_pipeline` is a English model originally trained by sm6342.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finroberta_pipeline_en_5.5.0_3.0_1726300135062.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finroberta_pipeline_en_5.5.0_3.0_1726300135062.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finroberta_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finroberta_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finroberta_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|310.7 MB|
+
+## References
+
+https://huggingface.co/sm6342/FinRoberta
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-formalrobertaaa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-formalrobertaaa_pipeline_en.md
new file mode 100644
index 00000000000000..fac1b60bb754d0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-formalrobertaaa_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English formalrobertaaa_pipeline pipeline RoBertaEmbeddings from BigSalmon
+author: John Snow Labs
+name: formalrobertaaa_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`formalrobertaaa_pipeline` is a English model originally trained by BigSalmon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/formalrobertaaa_pipeline_en_5.5.0_3.0_1726334888885.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/formalrobertaaa_pipeline_en_5.5.0_3.0_1726334888885.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("formalrobertaaa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("formalrobertaaa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|formalrobertaaa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.3 MB|
+
+## References
+
+https://huggingface.co/BigSalmon/FormalRobertaaa
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-gal_ner_iw_4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-gal_ner_iw_4_pipeline_en.md
new file mode 100644
index 00000000000000..6b4055595bb9a4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-gal_ner_iw_4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English gal_ner_iw_4_pipeline pipeline XlmRoBertaForTokenClassification from homersimpson
+author: John Snow Labs
+name: gal_ner_iw_4_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`gal_ner_iw_4_pipeline` is a English model originally trained by homersimpson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gal_ner_iw_4_pipeline_en_5.5.0_3.0_1726292043271.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gal_ner_iw_4_pipeline_en_5.5.0_3.0_1726292043271.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("gal_ner_iw_4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("gal_ner_iw_4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gal_ner_iw_4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|419.5 MB|
+
+## References
+
+https://huggingface.co/homersimpson/gal-ner-iw-4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-gischat_weibo_100k_fine_tuned_bert_zh.md b/docs/_posts/ahmedlone127/2024-09-14-gischat_weibo_100k_fine_tuned_bert_zh.md
new file mode 100644
index 00000000000000..f59607521053dc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-gischat_weibo_100k_fine_tuned_bert_zh.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Chinese gischat_weibo_100k_fine_tuned_bert BertForSequenceClassification from wsqstar
+author: John Snow Labs
+name: gischat_weibo_100k_fine_tuned_bert
+date: 2024-09-14
+tags: [zh, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: zh
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`gischat_weibo_100k_fine_tuned_bert` is a Chinese model originally trained by wsqstar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gischat_weibo_100k_fine_tuned_bert_zh_5.5.0_3.0_1726348344308.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gischat_weibo_100k_fine_tuned_bert_zh_5.5.0_3.0_1726348344308.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gischat_weibo_100k_fine_tuned_bert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|zh|
+|Size:|383.3 MB|
+
+## References
+
+https://huggingface.co/wsqstar/GISchat-weibo-100k-fine-tuned-bert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-hooshvarelab_roberta_persian_farsi_zwnj_base_pipeline_fa.md b/docs/_posts/ahmedlone127/2024-09-14-hooshvarelab_roberta_persian_farsi_zwnj_base_pipeline_fa.md
new file mode 100644
index 00000000000000..0c45f69c0b2522
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-hooshvarelab_roberta_persian_farsi_zwnj_base_pipeline_fa.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Persian hooshvarelab_roberta_persian_farsi_zwnj_base_pipeline pipeline RoBertaForTokenClassification from PerSpaCor
+author: John Snow Labs
+name: hooshvarelab_roberta_persian_farsi_zwnj_base_pipeline
+date: 2024-09-14
+tags: [fa, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: fa
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hooshvarelab_roberta_persian_farsi_zwnj_base_pipeline` is a Persian model originally trained by PerSpaCor.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hooshvarelab_roberta_persian_farsi_zwnj_base_pipeline_fa_5.5.0_3.0_1726314945838.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hooshvarelab_roberta_persian_farsi_zwnj_base_pipeline_fa_5.5.0_3.0_1726314945838.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hooshvarelab_roberta_persian_farsi_zwnj_base_pipeline", lang = "fa")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hooshvarelab_roberta_persian_farsi_zwnj_base_pipeline", lang = "fa")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hooshvarelab_roberta_persian_farsi_zwnj_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|fa|
+|Size:|442.1 MB|
+
+## References
+
+https://huggingface.co/PerSpaCor/HooshvareLab-roberta-fa-zwnj-base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-hw_slots_atis_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-hw_slots_atis_pipeline_en.md
new file mode 100644
index 00000000000000..aceb4689f9a0d1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-hw_slots_atis_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English hw_slots_atis_pipeline pipeline RoBertaForTokenClassification from RaushanTurganbay
+author: John Snow Labs
+name: hw_slots_atis_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hw_slots_atis_pipeline` is a English model originally trained by RaushanTurganbay.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hw_slots_atis_pipeline_en_5.5.0_3.0_1726306801237.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hw_slots_atis_pipeline_en_5.5.0_3.0_1726306801237.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hw_slots_atis_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hw_slots_atis_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hw_slots_atis_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|420.8 MB|
+
+## References
+
+https://huggingface.co/RaushanTurganbay/hw-slots-atis
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-intent_identifier_13_en.md b/docs/_posts/ahmedlone127/2024-09-14-intent_identifier_13_en.md
new file mode 100644
index 00000000000000..e872cc3d265165
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-intent_identifier_13_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English intent_identifier_13 BertForSequenceClassification from dotzero24
+author: John Snow Labs
+name: intent_identifier_13
+date: 2024-09-14
+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.`intent_identifier_13` is a English model originally trained by dotzero24.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/intent_identifier_13_en_5.5.0_3.0_1726347974579.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/intent_identifier_13_en_5.5.0_3.0_1726347974579.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_ctx0_cwd0_english_french|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|508.3 MB|
+
+## References
+
+https://huggingface.co/context-mt/iwslt17-marian-small-ctx0-cwd0-en-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-java_javascript_modelv3_en.md b/docs/_posts/ahmedlone127/2024-09-14-java_javascript_modelv3_en.md
new file mode 100644
index 00000000000000..02b890f61a898c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-java_javascript_modelv3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English java_javascript_modelv3 RoBertaEmbeddings from dilanjt
+author: John Snow Labs
+name: java_javascript_modelv3
+date: 2024-09-14
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`java_javascript_modelv3` is a English model originally trained by dilanjt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/java_javascript_modelv3_en_5.5.0_3.0_1726338455619.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/java_javascript_modelv3_en_5.5.0_3.0_1726338455619.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mabel_roberta_large|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/princeton-nlp/mabel-roberta-large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-mabel_roberta_large_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-mabel_roberta_large_pipeline_en.md
new file mode 100644
index 00000000000000..050c4d2e1b1dd3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-mabel_roberta_large_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English mabel_roberta_large_pipeline pipeline RoBertaEmbeddings from princeton-nlp
+author: John Snow Labs
+name: mabel_roberta_large_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mabel_roberta_large_pipeline` is a English model originally trained by princeton-nlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mabel_roberta_large_pipeline_en_5.5.0_3.0_1726300525329.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mabel_roberta_large_pipeline_en_5.5.0_3.0_1726300525329.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mabel_roberta_large_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mabel_roberta_large_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mabel_roberta_large_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/princeton-nlp/mabel-roberta-large
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-marathi_sentiment_tweets_pipeline_mr.md b/docs/_posts/ahmedlone127/2024-09-14-marathi_sentiment_tweets_pipeline_mr.md
new file mode 100644
index 00000000000000..37dc3d36604f7a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-marathi_sentiment_tweets_pipeline_mr.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Marathi marathi_sentiment_tweets_pipeline pipeline BertForSequenceClassification from l3cube-pune
+author: John Snow Labs
+name: marathi_sentiment_tweets_pipeline
+date: 2024-09-14
+tags: [mr, open_source, pipeline, onnx]
+task: Text Classification
+language: mr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marathi_sentiment_tweets_pipeline` is a Marathi model originally trained by l3cube-pune.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marathi_sentiment_tweets_pipeline_mr_5.5.0_3.0_1726348348910.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marathi_sentiment_tweets_pipeline_mr_5.5.0_3.0_1726348348910.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("marathi_sentiment_tweets_pipeline", lang = "mr")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marathi_sentiment_tweets_pipeline", lang = "mr")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marathi_sentiment_tweets_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|mr|
+|Size:|892.9 MB|
+
+## References
+
+https://huggingface.co/l3cube-pune/marathi-sentiment-tweets
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_cwtmyd_en.md b/docs/_posts/ahmedlone127/2024-09-14-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_cwtmyd_en.md
new file mode 100644
index 00000000000000..5975a810eb8e48
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_cwtmyd_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_cwtmyd MarianTransformer from cwtmyd
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_cwtmyd
+date: 2024-09-14
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_cwtmyd` is a English model originally trained by cwtmyd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_cwtmyd_en_5.5.0_3.0_1726351407503.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_cwtmyd_en_5.5.0_3.0_1726351407503.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_cwtmyd|
+|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/cwtmyd/marian-finetuned-kde4-en-to-fr-accelerate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_huggingface_course_en.md b/docs/_posts/ahmedlone127/2024-09-14-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_huggingface_course_en.md
new file mode 100644
index 00000000000000..72901c6c836a26
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_huggingface_course_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_huggingface_course MarianTransformer from huggingface-course
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_huggingface_course
+date: 2024-09-14
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_huggingface_course` is a English model originally trained by huggingface-course.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_huggingface_course_en_5.5.0_3.0_1726350548751.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_huggingface_course_en_5.5.0_3.0_1726350548751.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_huggingface_course|
+|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/huggingface-course/marian-finetuned-kde4-en-to-fr-accelerate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-marian_finetuned_kde4_english_tonga_tonga_islands_french_ahmed_abdeen_en.md b/docs/_posts/ahmedlone127/2024-09-14-marian_finetuned_kde4_english_tonga_tonga_islands_french_ahmed_abdeen_en.md
new file mode 100644
index 00000000000000..d7e11c64c42e13
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-marian_finetuned_kde4_english_tonga_tonga_islands_french_ahmed_abdeen_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_ahmed_abdeen MarianTransformer from Ahmed-Abdeen
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_ahmed_abdeen
+date: 2024-09-14
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_tonga_tonga_islands_french_ahmed_abdeen` is a English model originally trained by Ahmed-Abdeen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_ahmed_abdeen_en_5.5.0_3.0_1726351234666.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_ahmed_abdeen_en_5.5.0_3.0_1726351234666.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_ahmed_abdeen|
+|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/Ahmed-Abdeen/marian-finetuned-kde4-en-to-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-marian_finetuned_kde4_english_tonga_tonga_islands_french_artvandelay11_en.md b/docs/_posts/ahmedlone127/2024-09-14-marian_finetuned_kde4_english_tonga_tonga_islands_french_artvandelay11_en.md
new file mode 100644
index 00000000000000..bad48fd8723c0d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-marian_finetuned_kde4_english_tonga_tonga_islands_french_artvandelay11_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_artvandelay11 MarianTransformer from artvandelay11
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_artvandelay11
+date: 2024-09-14
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_tonga_tonga_islands_french_artvandelay11` is a English model originally trained by artvandelay11.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_artvandelay11_en_5.5.0_3.0_1726351614376.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_artvandelay11_en_5.5.0_3.0_1726351614376.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_artvandelay11|
+|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/artvandelay11/marian-finetuned-kde4-en-to-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-marian_finetuned_kde4_english_tonga_tonga_islands_french_artvandelay11_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-marian_finetuned_kde4_english_tonga_tonga_islands_french_artvandelay11_pipeline_en.md
new file mode 100644
index 00000000000000..a13860804f4444
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-marian_finetuned_kde4_english_tonga_tonga_islands_french_artvandelay11_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_artvandelay11_pipeline pipeline MarianTransformer from artvandelay11
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_artvandelay11_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_tonga_tonga_islands_french_artvandelay11_pipeline` is a English model originally trained by artvandelay11.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_artvandelay11_pipeline_en_5.5.0_3.0_1726351637600.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_artvandelay11_pipeline_en_5.5.0_3.0_1726351637600.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_artvandelay11_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_french_artvandelay11_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marian_finetuned_kde4_english_tonga_tonga_islands_french_artvandelay11_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|508.6 MB|
+
+## References
+
+https://huggingface.co/artvandelay11/marian-finetuned-kde4-en-to-fr
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-marian_finetuned_kde4_english_tonga_tonga_islands_french_muyuanma_en.md b/docs/_posts/ahmedlone127/2024-09-14-marian_finetuned_kde4_english_tonga_tonga_islands_french_muyuanma_en.md
new file mode 100644
index 00000000000000..6184ea61d33717
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-marian_finetuned_kde4_english_tonga_tonga_islands_french_muyuanma_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_muyuanma MarianTransformer from muyuanma
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_muyuanma
+date: 2024-09-14
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_tonga_tonga_islands_french_muyuanma` is a English model originally trained by muyuanma.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_muyuanma_en_5.5.0_3.0_1726351151211.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_muyuanma_en_5.5.0_3.0_1726351151211.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_muyuanma|
+|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/muyuanma/marian-finetuned-kde4-en-to-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-medical_english_chinese_9_1_pt2_en.md b/docs/_posts/ahmedlone127/2024-09-14-medical_english_chinese_9_1_pt2_en.md
new file mode 100644
index 00000000000000..335fc73bf2436a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-medical_english_chinese_9_1_pt2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English medical_english_chinese_9_1_pt2 MarianTransformer from DogGoesBark
+author: John Snow Labs
+name: medical_english_chinese_9_1_pt2
+date: 2024-09-14
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`medical_english_chinese_9_1_pt2` is a English model originally trained by DogGoesBark.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/medical_english_chinese_9_1_pt2_en_5.5.0_3.0_1726351395558.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/medical_english_chinese_9_1_pt2_en_5.5.0_3.0_1726351395558.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|medical_tiny_english_1_0v|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|394.0 MB|
+
+## References
+
+https://huggingface.co/Dev372/Medical_tiny_en_1_0v
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-memo_bert_sanskrit_saskta_danskbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-memo_bert_sanskrit_saskta_danskbert_pipeline_en.md
new file mode 100644
index 00000000000000..2cc5200be59dbd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-memo_bert_sanskrit_saskta_danskbert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English memo_bert_sanskrit_saskta_danskbert_pipeline pipeline XlmRoBertaForSequenceClassification from yemen2016
+author: John Snow Labs
+name: memo_bert_sanskrit_saskta_danskbert_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`memo_bert_sanskrit_saskta_danskbert_pipeline` is a English model originally trained by yemen2016.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/memo_bert_sanskrit_saskta_danskbert_pipeline_en_5.5.0_3.0_1726318526082.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/memo_bert_sanskrit_saskta_danskbert_pipeline_en_5.5.0_3.0_1726318526082.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("memo_bert_sanskrit_saskta_danskbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("memo_bert_sanskrit_saskta_danskbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|memo_bert_sanskrit_saskta_danskbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|426.6 MB|
+
+## References
+
+https://huggingface.co/yemen2016/MeMo_BERT-SA_DanskBERT
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-model_albert_20_en.md b/docs/_posts/ahmedlone127/2024-09-14-model_albert_20_en.md
new file mode 100644
index 00000000000000..67d69c6e442cea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-model_albert_20_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English model_albert_20 AlbertForSequenceClassification from KalaiselvanD
+author: John Snow Labs
+name: model_albert_20
+date: 2024-09-14
+tags: [en, open_source, onnx, sequence_classification, albert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: AlbertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`model_albert_20` is a English model originally trained by KalaiselvanD.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_albert_20_en_5.5.0_3.0_1726315482534.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_albert_20_en_5.5.0_3.0_1726315482534.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|model_albert_20|
+|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/KalaiselvanD/model_albert_20
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-model_for_french_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-model_for_french_pipeline_en.md
new file mode 100644
index 00000000000000..83cf07edc991fa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-model_for_french_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English model_for_french_pipeline pipeline XlmRoBertaForTokenClassification from LGLT
+author: John Snow Labs
+name: model_for_french_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`model_for_french_pipeline` is a English model originally trained by LGLT.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_for_french_pipeline_en_5.5.0_3.0_1726346028955.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_for_french_pipeline_en_5.5.0_3.0_1726346028955.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("model_for_french_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("model_for_french_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|model_for_french_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|781.6 MB|
+
+## References
+
+https://huggingface.co/LGLT/model_for_fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_minzzi_en.md b/docs/_posts/ahmedlone127/2024-09-14-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_minzzi_en.md
new file mode 100644
index 00000000000000..2d574d20ae03c2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_minzzi_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_minzzi MarianTransformer from minzzi
+author: John Snow Labs
+name: opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_minzzi
+date: 2024-09-14
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_minzzi` is a English model originally trained by minzzi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_minzzi_en_5.5.0_3.0_1726350546271.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_minzzi_en_5.5.0_3.0_1726350546271.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_minzzi|
+|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/minzzi/opus-mt-en-ro-finetuned-en-to-ro
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_soulking123_en.md b/docs/_posts/ahmedlone127/2024-09-14-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_soulking123_en.md
new file mode 100644
index 00000000000000..0e32c4f4dbe8e7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_soulking123_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_soulking123 MarianTransformer from soulking123
+author: John Snow Labs
+name: opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_soulking123
+date: 2024-09-14
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_soulking123` is a English model originally trained by soulking123.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_soulking123_en_5.5.0_3.0_1726350915095.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_soulking123_en_5.5.0_3.0_1726350915095.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_soulking123|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|508.7 MB|
+
+## References
+
+https://huggingface.co/soulking123/opus-mt-en-ro-finetuned-en-to-ro
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_soulking123_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_soulking123_pipeline_en.md
new file mode 100644
index 00000000000000..19e6524da18f63
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_soulking123_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_soulking123_pipeline pipeline MarianTransformer from soulking123
+author: John Snow Labs
+name: opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_soulking123_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_soulking123_pipeline` is a English model originally trained by soulking123.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_soulking123_pipeline_en_5.5.0_3.0_1726350940079.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_soulking123_pipeline_en_5.5.0_3.0_1726350940079.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_soulking123_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_soulking123_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_soulking123_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|509.2 MB|
+
+## References
+
+https://huggingface.co/soulking123/opus-mt-en-ro-finetuned-en-to-ro
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-opus_maltese_indonesian_english_jakarta_best_loss_bleu_en.md b/docs/_posts/ahmedlone127/2024-09-14-opus_maltese_indonesian_english_jakarta_best_loss_bleu_en.md
new file mode 100644
index 00000000000000..ffb029d8670f40
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-opus_maltese_indonesian_english_jakarta_best_loss_bleu_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_indonesian_english_jakarta_best_loss_bleu MarianTransformer from yonathanstwn
+author: John Snow Labs
+name: opus_maltese_indonesian_english_jakarta_best_loss_bleu
+date: 2024-09-14
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_indonesian_english_jakarta_best_loss_bleu` is a English model originally trained by yonathanstwn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_indonesian_english_jakarta_best_loss_bleu_en_5.5.0_3.0_1726351668227.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_indonesian_english_jakarta_best_loss_bleu_en_5.5.0_3.0_1726351668227.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_indonesian_english_jakarta_best_loss_bleu|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|480.1 MB|
+
+## References
+
+https://huggingface.co/yonathanstwn/opus-mt-id-en-jakarta-best-loss-bleu
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-opus_maltese_italian_english_bds_en.md b/docs/_posts/ahmedlone127/2024-09-14-opus_maltese_italian_english_bds_en.md
new file mode 100644
index 00000000000000..407db13fd71635
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-opus_maltese_italian_english_bds_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_italian_english_bds MarianTransformer from Anhptp
+author: John Snow Labs
+name: opus_maltese_italian_english_bds
+date: 2024-09-14
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_italian_english_bds` is a English model originally trained by Anhptp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_italian_english_bds_en_5.5.0_3.0_1726351758278.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_italian_english_bds_en_5.5.0_3.0_1726351758278.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_italian_english_bds|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|625.0 MB|
+
+## References
+
+https://huggingface.co/Anhptp/opus-mt-it-en-BDS
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-output_mask_step_pretraining_plus_contr_roberta_model_from_pretrained_large_both_epochs_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-output_mask_step_pretraining_plus_contr_roberta_model_from_pretrained_large_both_epochs_1_pipeline_en.md
new file mode 100644
index 00000000000000..2ed02627c9e83e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-output_mask_step_pretraining_plus_contr_roberta_model_from_pretrained_large_both_epochs_1_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English output_mask_step_pretraining_plus_contr_roberta_model_from_pretrained_large_both_epochs_1_pipeline pipeline RoBertaForQuestionAnswering from AnonymousSub
+author: John Snow Labs
+name: output_mask_step_pretraining_plus_contr_roberta_model_from_pretrained_large_both_epochs_1_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`output_mask_step_pretraining_plus_contr_roberta_model_from_pretrained_large_both_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_model_from_pretrained_large_both_epochs_1_pipeline_en_5.5.0_3.0_1726342958589.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_model_from_pretrained_large_both_epochs_1_pipeline_en_5.5.0_3.0_1726342958589.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_model_from_pretrained_large_both_epochs_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("output_mask_step_pretraining_plus_contr_roberta_model_from_pretrained_large_both_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_model_from_pretrained_large_both_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_model_from_pretrained_LARGE_BOTH_EPOCHS_1
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-parliament_ner_en.md b/docs/_posts/ahmedlone127/2024-09-14-parliament_ner_en.md
new file mode 100644
index 00000000000000..cf9383b4123540
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-parliament_ner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English parliament_ner RoBertaForTokenClassification from matthewleechen
+author: John Snow Labs
+name: parliament_ner
+date: 2024-09-14
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`parliament_ner` is a English model originally trained by matthewleechen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/parliament_ner_en_5.5.0_3.0_1726314801416.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/parliament_ner_en_5.5.0_3.0_1726314801416.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|parliament_ner|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/matthewleechen/parliament_ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-personal_pipeline_es.md b/docs/_posts/ahmedlone127/2024-09-14-personal_pipeline_es.md
new file mode 100644
index 00000000000000..eb3337a3ee4a1b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-personal_pipeline_es.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Castilian, Spanish personal_pipeline pipeline BertForQuestionAnswering from Antonio49
+author: John Snow Labs
+name: personal_pipeline
+date: 2024-09-14
+tags: [es, open_source, pipeline, onnx]
+task: Question Answering
+language: es
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`personal_pipeline` is a Castilian, Spanish model originally trained by Antonio49.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/personal_pipeline_es_5.5.0_3.0_1726349850093.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/personal_pipeline_es_5.5.0_3.0_1726349850093.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("personal_pipeline", lang = "es")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("personal_pipeline", lang = "es")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|personal_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|es|
+|Size:|409.7 MB|
+
+## References
+
+https://huggingface.co/Antonio49/Personal
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-pig_latin_tonga_tonga_islands_eng_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-pig_latin_tonga_tonga_islands_eng_pipeline_en.md
new file mode 100644
index 00000000000000..00f2d817313c6e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-pig_latin_tonga_tonga_islands_eng_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English pig_latin_tonga_tonga_islands_eng_pipeline pipeline MarianTransformer from soschuetze
+author: John Snow Labs
+name: pig_latin_tonga_tonga_islands_eng_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`pig_latin_tonga_tonga_islands_eng_pipeline` is a English model originally trained by soschuetze.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pig_latin_tonga_tonga_islands_eng_pipeline_en_5.5.0_3.0_1726350941423.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pig_latin_tonga_tonga_islands_eng_pipeline_en_5.5.0_3.0_1726350941423.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("pig_latin_tonga_tonga_islands_eng_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("pig_latin_tonga_tonga_islands_eng_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pig_latin_tonga_tonga_islands_eng_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|533.2 MB|
+
+## References
+
+https://huggingface.co/soschuetze/pig-latin-to-eng
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-pipeline1model1_en.md b/docs/_posts/ahmedlone127/2024-09-14-pipeline1model1_en.md
new file mode 100644
index 00000000000000..a777a41036dbe5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-pipeline1model1_en.md
@@ -0,0 +1,66 @@
+---
+layout: model
+title: English pipeline1model1 pipeline WhisperForCTC from avery0
+author: John Snow Labs
+name: pipeline1model1
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+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.`pipeline1model1` is a English model originally trained by avery0.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pipeline1model1_en_5.5.0_3.0_1726284046766.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pipeline1model1_en_5.5.0_3.0_1726284046766.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("pipeline1model1", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("pipeline1model1", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pipeline1model1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|645.3 MB|
+
+## References
+
+https://huggingface.co/avery0/pipeline1model1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-pipeline1model1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-pipeline1model1_pipeline_en.md
new file mode 100644
index 00000000000000..740e17c1cee3d2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-pipeline1model1_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English pipeline1model1_pipeline pipeline WhisperForCTC from avery0
+author: John Snow Labs
+name: pipeline1model1_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`pipeline1model1_pipeline` is a English model originally trained by avery0.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/pipeline1model1_pipeline_en_5.5.0_3.0_1726284077779.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/pipeline1model1_pipeline_en_5.5.0_3.0_1726284077779.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("pipeline1model1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("pipeline1model1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|pipeline1model1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|645.3 MB|
+
+## References
+
+https://huggingface.co/avery0/pipeline1model1
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-polish_roberta_base_v1_pl.md b/docs/_posts/ahmedlone127/2024-09-14-polish_roberta_base_v1_pl.md
new file mode 100644
index 00000000000000..41387d040a904c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-polish_roberta_base_v1_pl.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Polish polish_roberta_base_v1 RoBertaEmbeddings from sdadas
+author: John Snow Labs
+name: polish_roberta_base_v1
+date: 2024-09-14
+tags: [pl, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: pl
+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.`polish_roberta_base_v1` is a Polish model originally trained by sdadas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/polish_roberta_base_v1_pl_5.5.0_3.0_1726334169357.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/polish_roberta_base_v1_pl_5.5.0_3.0_1726334169357.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|polish_roberta_base_v1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|pl|
+|Size:|298.0 MB|
+
+## References
+
+https://huggingface.co/sdadas/polish-roberta-base-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-prags1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-prags1_pipeline_en.md
new file mode 100644
index 00000000000000..d151213a84e99e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-prags1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English prags1_pipeline pipeline RoBertaEmbeddings from UBC-NLP
+author: John Snow Labs
+name: prags1_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`prags1_pipeline` is a English model originally trained by UBC-NLP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/prags1_pipeline_en_5.5.0_3.0_1726334506762.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/prags1_pipeline_en_5.5.0_3.0_1726334506762.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("prags1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("prags1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|prags1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|465.9 MB|
+
+## References
+
+https://huggingface.co/UBC-NLP/prags1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-roberta_base_bne_capitel_ner_plus_bsc_lt_pipeline_es.md b/docs/_posts/ahmedlone127/2024-09-14-roberta_base_bne_capitel_ner_plus_bsc_lt_pipeline_es.md
new file mode 100644
index 00000000000000..8db8fe75c401a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-roberta_base_bne_capitel_ner_plus_bsc_lt_pipeline_es.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Castilian, Spanish roberta_base_bne_capitel_ner_plus_bsc_lt_pipeline pipeline RoBertaForTokenClassification from BSC-LT
+author: John Snow Labs
+name: roberta_base_bne_capitel_ner_plus_bsc_lt_pipeline
+date: 2024-09-14
+tags: [es, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: es
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_bne_capitel_ner_plus_bsc_lt_pipeline` is a Castilian, Spanish model originally trained by BSC-LT.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_capitel_ner_plus_bsc_lt_pipeline_es_5.5.0_3.0_1726300961156.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_bne_capitel_ner_plus_bsc_lt_pipeline_es_5.5.0_3.0_1726300961156.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_bne_capitel_ner_plus_bsc_lt_pipeline", lang = "es")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_bne_capitel_ner_plus_bsc_lt_pipeline", lang = "es")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_bne_capitel_ner_plus_bsc_lt_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|es|
+|Size:|458.2 MB|
+
+## References
+
+https://huggingface.co/BSC-LT/roberta-base-bne-capitel-ner-plus
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-roberta_base_scandinavian_da.md b/docs/_posts/ahmedlone127/2024-09-14-roberta_base_scandinavian_da.md
new file mode 100644
index 00000000000000..748259ce1ddc04
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-roberta_base_scandinavian_da.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Danish roberta_base_scandinavian RoBertaEmbeddings from DDSC
+author: John Snow Labs
+name: roberta_base_scandinavian
+date: 2024-09-14
+tags: [da, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: da
+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_scandinavian` is a Danish model originally trained by DDSC.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_scandinavian_da_5.5.0_3.0_1726338012777.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_scandinavian_da_5.5.0_3.0_1726338012777.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_cyner|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|425.9 MB|
+
+## References
+
+References
+
+https://huggingface.co/anonymouspd/RoBERTa-CyNER
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-roberta_finetuned_subjqa_movies_2_skullwreker_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-roberta_finetuned_subjqa_movies_2_skullwreker_pipeline_en.md
new file mode 100644
index 00000000000000..2230470e92713f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-roberta_finetuned_subjqa_movies_2_skullwreker_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_finetuned_subjqa_movies_2_skullwreker_pipeline pipeline RoBertaForQuestionAnswering from SkullWreker
+author: John Snow Labs
+name: roberta_finetuned_subjqa_movies_2_skullwreker_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_finetuned_subjqa_movies_2_skullwreker_pipeline` is a English model originally trained by SkullWreker.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_subjqa_movies_2_skullwreker_pipeline_en_5.5.0_3.0_1726343180292.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_subjqa_movies_2_skullwreker_pipeline_en_5.5.0_3.0_1726343180292.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_skullwreker_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_finetuned_subjqa_movies_2_skullwreker_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_finetuned_subjqa_movies_2_skullwreker_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|464.1 MB|
+
+## References
+
+https://huggingface.co/SkullWreker/roberta-finetuned-subjqa-movies_2
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-roberta_indosquadv2_1691592486_16_2e_05_0_01_5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-roberta_indosquadv2_1691592486_16_2e_05_0_01_5_pipeline_en.md
new file mode 100644
index 00000000000000..4f17c2e05c64d8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-roberta_indosquadv2_1691592486_16_2e_05_0_01_5_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_indosquadv2_1691592486_16_2e_05_0_01_5_pipeline pipeline RoBertaForQuestionAnswering from rizquuula
+author: John Snow Labs
+name: roberta_indosquadv2_1691592486_16_2e_05_0_01_5_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_indosquadv2_1691592486_16_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_1691592486_16_2e_05_0_01_5_pipeline_en_5.5.0_3.0_1726343111481.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_indosquadv2_1691592486_16_2e_05_0_01_5_pipeline_en_5.5.0_3.0_1726343111481.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_indosquadv2_1691592486_16_2e_05_0_01_5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_indosquadv2_1691592486_16_2e_05_0_01_5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_indosquadv2_1691592486_16_2e_05_0_01_5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|454.5 MB|
+
+## References
+
+https://huggingface.co/rizquuula/RoBERTa-IndoSQuADv2_1691592486-16-2e-05-0.01-5
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-roberta_large_few_shot_k_64_finetuned_squad_seed_2_en.md b/docs/_posts/ahmedlone127/2024-09-14-roberta_large_few_shot_k_64_finetuned_squad_seed_2_en.md
new file mode 100644
index 00000000000000..71f9ac314b0493
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-roberta_large_few_shot_k_64_finetuned_squad_seed_2_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English roberta_large_few_shot_k_64_finetuned_squad_seed_2 RoBertaForQuestionAnswering from anas-awadalla
+author: John Snow Labs
+name: roberta_large_few_shot_k_64_finetuned_squad_seed_2
+date: 2024-09-14
+tags: [en, open_source, onnx, question_answering, roberta]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_few_shot_k_64_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_64_finetuned_squad_seed_2_en_5.5.0_3.0_1726342758941.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_few_shot_k_64_finetuned_squad_seed_2_en_5.5.0_3.0_1726342758941.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_64_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-64-finetuned-squad-seed-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-roberta_large_few_shot_k_64_finetuned_squad_seed_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-roberta_large_few_shot_k_64_finetuned_squad_seed_2_pipeline_en.md
new file mode 100644
index 00000000000000..3acb3700f60da5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-roberta_large_few_shot_k_64_finetuned_squad_seed_2_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_large_few_shot_k_64_finetuned_squad_seed_2_pipeline pipeline RoBertaForQuestionAnswering from anas-awadalla
+author: John Snow Labs
+name: roberta_large_few_shot_k_64_finetuned_squad_seed_2_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_few_shot_k_64_finetuned_squad_seed_2_pipeline` 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_64_finetuned_squad_seed_2_pipeline_en_5.5.0_3.0_1726342841388.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_few_shot_k_64_finetuned_squad_seed_2_pipeline_en_5.5.0_3.0_1726342841388.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_few_shot_k_64_finetuned_squad_seed_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_few_shot_k_64_finetuned_squad_seed_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_few_shot_k_64_finetuned_squad_seed_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/anas-awadalla/roberta-large-few-shot-k-64-finetuned-squad-seed-2
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-roberta_large_metaie_en.md b/docs/_posts/ahmedlone127/2024-09-14-roberta_large_metaie_en.md
new file mode 100644
index 00000000000000..06b86ddc762f8f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-roberta_large_metaie_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_large_metaie RoBertaForTokenClassification from KomeijiForce
+author: John Snow Labs
+name: roberta_large_metaie
+date: 2024-09-14
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_metaie` is a English model originally trained by KomeijiForce.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_metaie_en_5.5.0_3.0_1726307244599.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_metaie_en_5.5.0_3.0_1726307244599.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_metaie|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/KomeijiForce/roberta-large-metaie
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-roberta_large_metaie_gpt4_en.md b/docs/_posts/ahmedlone127/2024-09-14-roberta_large_metaie_gpt4_en.md
new file mode 100644
index 00000000000000..49582788ea1a6c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-roberta_large_metaie_gpt4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_large_metaie_gpt4 RoBertaForTokenClassification from KomeijiForce
+author: John Snow Labs
+name: roberta_large_metaie_gpt4
+date: 2024-09-14
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_metaie_gpt4` is a English model originally trained by KomeijiForce.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_metaie_gpt4_en_5.5.0_3.0_1726307118206.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_metaie_gpt4_en_5.5.0_3.0_1726307118206.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_metaie_gpt4|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/KomeijiForce/roberta-large-metaie-gpt4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-roberta_large_metaie_gpt4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-roberta_large_metaie_gpt4_pipeline_en.md
new file mode 100644
index 00000000000000..cf4ff89fe07ed0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-roberta_large_metaie_gpt4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_large_metaie_gpt4_pipeline pipeline RoBertaForTokenClassification from KomeijiForce
+author: John Snow Labs
+name: roberta_large_metaie_gpt4_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_metaie_gpt4_pipeline` is a English model originally trained by KomeijiForce.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_metaie_gpt4_pipeline_en_5.5.0_3.0_1726307180992.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_metaie_gpt4_pipeline_en_5.5.0_3.0_1726307180992.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_metaie_gpt4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_metaie_gpt4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_metaie_gpt4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/KomeijiForce/roberta-large-metaie-gpt4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-roberta_large_switchboard_normalized_en.md b/docs/_posts/ahmedlone127/2024-09-14-roberta_large_switchboard_normalized_en.md
new file mode 100644
index 00000000000000..4183ba60280b0d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-roberta_large_switchboard_normalized_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_large_switchboard_normalized RoBertaForTokenClassification from anonymoussubmissions
+author: John Snow Labs
+name: roberta_large_switchboard_normalized
+date: 2024-09-14
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_switchboard_normalized` is a English model originally trained by anonymoussubmissions.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_switchboard_normalized_en_5.5.0_3.0_1726316188680.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_switchboard_normalized_en_5.5.0_3.0_1726316188680.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_switchboard_normalized|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/anonymoussubmissions/roberta-large-switchboard-normalized
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-roberta_spanish_clinical_trials_attributes_ner_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-roberta_spanish_clinical_trials_attributes_ner_pipeline_en.md
new file mode 100644
index 00000000000000..b772fd4ba3ba88
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-roberta_spanish_clinical_trials_attributes_ner_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_spanish_clinical_trials_attributes_ner_pipeline pipeline RoBertaForTokenClassification from medspaner
+author: John Snow Labs
+name: roberta_spanish_clinical_trials_attributes_ner_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_spanish_clinical_trials_attributes_ner_pipeline` is a English model originally trained by medspaner.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_spanish_clinical_trials_attributes_ner_pipeline_en_5.5.0_3.0_1726316298860.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_spanish_clinical_trials_attributes_ner_pipeline_en_5.5.0_3.0_1726316298860.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_spanish_clinical_trials_attributes_ner_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_spanish_clinical_trials_attributes_ner_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_spanish_clinical_trials_attributes_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|442.5 MB|
+
+## References
+
+https://huggingface.co/medspaner/roberta-es-clinical-trials-attributes-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-rubert_multiconer_ru.md b/docs/_posts/ahmedlone127/2024-09-14-rubert_multiconer_ru.md
new file mode 100644
index 00000000000000..995383ac15e4c0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-rubert_multiconer_ru.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Russian rubert_multiconer BertForTokenClassification from bond005
+author: John Snow Labs
+name: rubert_multiconer
+date: 2024-09-14
+tags: [ru, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: ru
+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.`rubert_multiconer` is a Russian model originally trained by bond005.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rubert_multiconer_ru_5.5.0_3.0_1726305575834.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rubert_multiconer_ru_5.5.0_3.0_1726305575834.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_guaran_bert_large_cased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|gn|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/mmaguero/gn-bert-large-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-sent_hinglish_sbert_en.md b/docs/_posts/ahmedlone127/2024-09-14-sent_hinglish_sbert_en.md
new file mode 100644
index 00000000000000..9f04eca6c16701
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-sent_hinglish_sbert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_hinglish_sbert BertSentenceEmbeddings from meghanabhange
+author: John Snow Labs
+name: sent_hinglish_sbert
+date: 2024-09-14
+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_hinglish_sbert` is a English model originally trained by meghanabhange.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_hinglish_sbert_en_5.5.0_3.0_1726337218270.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_hinglish_sbert_en_5.5.0_3.0_1726337218270.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_hinglish_sbert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|407.8 MB|
+
+## References
+
+https://huggingface.co/meghanabhange/hinglish-sbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-sent_indojave_codemixed_indobertweet_base_pipeline_id.md b/docs/_posts/ahmedlone127/2024-09-14-sent_indojave_codemixed_indobertweet_base_pipeline_id.md
new file mode 100644
index 00000000000000..43097402e3f2fe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-sent_indojave_codemixed_indobertweet_base_pipeline_id.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: Indonesian sent_indojave_codemixed_indobertweet_base_pipeline pipeline BertSentenceEmbeddings from fathan
+author: John Snow Labs
+name: sent_indojave_codemixed_indobertweet_base_pipeline
+date: 2024-09-14
+tags: [id, open_source, pipeline, onnx]
+task: Embeddings
+language: id
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_indojave_codemixed_indobertweet_base_pipeline` is a Indonesian model originally trained by fathan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_indojave_codemixed_indobertweet_base_pipeline_id_5.5.0_3.0_1726320282334.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_indojave_codemixed_indobertweet_base_pipeline_id_5.5.0_3.0_1726320282334.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_indojave_codemixed_indobertweet_base_pipeline", lang = "id")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_indojave_codemixed_indobertweet_base_pipeline", lang = "id")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_indojave_codemixed_indobertweet_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|id|
+|Size:|412.4 MB|
+
+## References
+
+https://huggingface.co/fathan/indojave-codemixed-indobertweet-base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-sent_legal_bertimbau_large_pipeline_pt.md b/docs/_posts/ahmedlone127/2024-09-14-sent_legal_bertimbau_large_pipeline_pt.md
new file mode 100644
index 00000000000000..934b9f8ab87748
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-sent_legal_bertimbau_large_pipeline_pt.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: Portuguese sent_legal_bertimbau_large_pipeline pipeline BertSentenceEmbeddings from rufimelo
+author: John Snow Labs
+name: sent_legal_bertimbau_large_pipeline
+date: 2024-09-14
+tags: [pt, open_source, pipeline, onnx]
+task: Embeddings
+language: pt
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_legal_bertimbau_large_pipeline` is a Portuguese model originally trained by rufimelo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_legal_bertimbau_large_pipeline_pt_5.5.0_3.0_1726337647305.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_legal_bertimbau_large_pipeline_pt_5.5.0_3.0_1726337647305.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_legal_bertimbau_large_pipeline", lang = "pt")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_legal_bertimbau_large_pipeline", lang = "pt")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_legal_bertimbau_large_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|pt|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/rufimelo/Legal-BERTimbau-large
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-shami2english_en.md b/docs/_posts/ahmedlone127/2024-09-14-shami2english_en.md
new file mode 100644
index 00000000000000..1c515c8b528154
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-shami2english_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English shami2english MarianTransformer from guymorlan
+author: John Snow Labs
+name: shami2english
+date: 2024-09-14
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`shami2english` is a English model originally trained by guymorlan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/shami2english_en_5.5.0_3.0_1726351819294.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/shami2english_en_5.5.0_3.0_1726351819294.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|shami2english|
+|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/guymorlan/Shami2English
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-shami2english_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-shami2english_pipeline_en.md
new file mode 100644
index 00000000000000..ecb8de0b8e37c6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-shami2english_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English shami2english_pipeline pipeline MarianTransformer from guymorlan
+author: John Snow Labs
+name: shami2english_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`shami2english_pipeline` is a English model originally trained by guymorlan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/shami2english_pipeline_en_5.5.0_3.0_1726351842700.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/shami2english_pipeline_en_5.5.0_3.0_1726351842700.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("shami2english_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("shami2english_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|shami2english_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|528.2 MB|
+
+## References
+
+https://huggingface.co/guymorlan/Shami2English
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-small_finetuned_squadv2_en.md b/docs/_posts/ahmedlone127/2024-09-14-small_finetuned_squadv2_en.md
new file mode 100644
index 00000000000000..483369d2c81c7e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-small_finetuned_squadv2_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English small_finetuned_squadv2 RoBertaForQuestionAnswering from dungquarkquark
+author: John Snow Labs
+name: small_finetuned_squadv2
+date: 2024-09-14
+tags: [en, open_source, onnx, question_answering, roberta]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`small_finetuned_squadv2` is a English model originally trained by dungquarkquark.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/small_finetuned_squadv2_en_5.5.0_3.0_1726342659983.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/small_finetuned_squadv2_en_5.5.0_3.0_1726342659983.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|spark_name_french_tonga_tonga_islands_english|
+|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/ihebaker10/spark-name-fr-to-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-stack_overflow_open_status_classifier_portuguese_warm_unsupervised_supervised_120_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-stack_overflow_open_status_classifier_portuguese_warm_unsupervised_supervised_120_pipeline_en.md
new file mode 100644
index 00000000000000..8c205f51563d72
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-stack_overflow_open_status_classifier_portuguese_warm_unsupervised_supervised_120_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English stack_overflow_open_status_classifier_portuguese_warm_unsupervised_supervised_120_pipeline pipeline AlbertForSequenceClassification from reubenjohn
+author: John Snow Labs
+name: stack_overflow_open_status_classifier_portuguese_warm_unsupervised_supervised_120_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`stack_overflow_open_status_classifier_portuguese_warm_unsupervised_supervised_120_pipeline` is a English model originally trained by reubenjohn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stack_overflow_open_status_classifier_portuguese_warm_unsupervised_supervised_120_pipeline_en_5.5.0_3.0_1726308617312.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stack_overflow_open_status_classifier_portuguese_warm_unsupervised_supervised_120_pipeline_en_5.5.0_3.0_1726308617312.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("stack_overflow_open_status_classifier_portuguese_warm_unsupervised_supervised_120_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("stack_overflow_open_status_classifier_portuguese_warm_unsupervised_supervised_120_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stack_overflow_open_status_classifier_portuguese_warm_unsupervised_supervised_120_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|44.3 MB|
+
+## References
+
+https://huggingface.co/reubenjohn/stack-overflow-open-status-classifier-pt-warm-unsupervised-supervised-120
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- AlbertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-tmp_trainer_en.md b/docs/_posts/ahmedlone127/2024-09-14-tmp_trainer_en.md
new file mode 100644
index 00000000000000..34fe536dc7fbe9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-tmp_trainer_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English tmp_trainer DistilBertForTokenClassification from anyuanay
+author: John Snow Labs
+name: tmp_trainer
+date: 2024-09-14
+tags: [bert, en, open_source, token_classification, onnx]
+task: Named Entity Recognition
+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 DistilBertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tmp_trainer` is a English model originally trained by anyuanay.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tmp_trainer_en_5.5.0_3.0_1726350887864.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tmp_trainer_en_5.5.0_3.0_1726350887864.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tmp_trainer|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|530.2 MB|
+
+## References
+
+References
+
+References
+
+https://huggingface.co/anyuanay/tmp_trainer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-transcriber_small_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-transcriber_small_pipeline_en.md
new file mode 100644
index 00000000000000..f711154f737687
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-transcriber_small_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English transcriber_small_pipeline pipeline WhisperForCTC from mediaProcessing
+author: John Snow Labs
+name: transcriber_small_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`transcriber_small_pipeline` is a English model originally trained by mediaProcessing.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/transcriber_small_pipeline_en_5.5.0_3.0_1726331431503.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/transcriber_small_pipeline_en_5.5.0_3.0_1726331431503.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("transcriber_small_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("transcriber_small_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|transcriber_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/mediaProcessing/Transcriber-small
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-tweets_financial_classifier_distilbert_dima806_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-tweets_financial_classifier_distilbert_dima806_pipeline_en.md
new file mode 100644
index 00000000000000..4700fb6dcb6021
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-tweets_financial_classifier_distilbert_dima806_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English tweets_financial_classifier_distilbert_dima806_pipeline pipeline BertForSequenceClassification from dima806
+author: John Snow Labs
+name: tweets_financial_classifier_distilbert_dima806_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tweets_financial_classifier_distilbert_dima806_pipeline` is a English model originally trained by dima806.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tweets_financial_classifier_distilbert_dima806_pipeline_en_5.5.0_3.0_1726348239064.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tweets_financial_classifier_distilbert_dima806_pipeline_en_5.5.0_3.0_1726348239064.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tweets_financial_classifier_distilbert_dima806_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tweets_financial_classifier_distilbert_dima806_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tweets_financial_classifier_distilbert_dima806_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.5 MB|
+
+## References
+
+https://huggingface.co/dima806/tweets-financial-classifier-distilbert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-vispell_small_v2_vi.md b/docs/_posts/ahmedlone127/2024-09-14-vispell_small_v2_vi.md
new file mode 100644
index 00000000000000..bab49cf78991b5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-vispell_small_v2_vi.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Vietnamese vispell_small_v2 MarianTransformer from ademax
+author: John Snow Labs
+name: vispell_small_v2
+date: 2024-09-14
+tags: [vi, open_source, onnx, translation, marian]
+task: Translation
+language: vi
+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.`vispell_small_v2` is a Vietnamese model originally trained by ademax.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/vispell_small_v2_vi_5.5.0_3.0_1726351248164.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/vispell_small_v2_vi_5.5.0_3.0_1726351248164.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|vispell_small_v2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|vi|
+|Size:|425.9 MB|
+
+## References
+
+https://huggingface.co/ademax/vispell-small-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-whisper_anuj_small_malyalam_final_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-whisper_anuj_small_malyalam_final_pipeline_en.md
new file mode 100644
index 00000000000000..fb253bf777c49b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-whisper_anuj_small_malyalam_final_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_anuj_small_malyalam_final_pipeline pipeline WhisperForCTC from Anujgr8
+author: John Snow Labs
+name: whisper_anuj_small_malyalam_final_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_anuj_small_malyalam_final_pipeline` is a English model originally trained by Anujgr8.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_anuj_small_malyalam_final_pipeline_en_5.5.0_3.0_1726322684153.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_anuj_small_malyalam_final_pipeline_en_5.5.0_3.0_1726322684153.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_anuj_small_malyalam_final_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_anuj_small_malyalam_final_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_anuj_small_malyalam_final_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Anujgr8/Whisper-Anuj-small-Malyalam-final
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-whisper_base_cantonese_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-whisper_base_cantonese_pipeline_en.md
new file mode 100644
index 00000000000000..db6b6ec6a60ba7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-whisper_base_cantonese_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_base_cantonese_pipeline pipeline WhisperForCTC from Oblivion208
+author: John Snow Labs
+name: whisper_base_cantonese_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_base_cantonese_pipeline` is a English model originally trained by Oblivion208.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_base_cantonese_pipeline_en_5.5.0_3.0_1726358234595.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_base_cantonese_pipeline_en_5.5.0_3.0_1726358234595.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_base_cantonese_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_base_cantonese_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_base_cantonese_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|641.6 MB|
+
+## References
+
+https://huggingface.co/Oblivion208/whisper-base-cantonese
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-whisper_base_kannada_kn.md b/docs/_posts/ahmedlone127/2024-09-14-whisper_base_kannada_kn.md
new file mode 100644
index 00000000000000..41838b02c8b1fd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-whisper_base_kannada_kn.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Kannada whisper_base_kannada WhisperForCTC from parambharat
+author: John Snow Labs
+name: whisper_base_kannada
+date: 2024-09-14
+tags: [kn, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: kn
+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_kannada` is a Kannada model originally trained by parambharat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_base_kannada_kn_5.5.0_3.0_1726332466891.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_base_kannada_kn_5.5.0_3.0_1726332466891.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_big_kpn|
+|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/susmitabhatt/whisper-big-kpn
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-whisper_big_kpn_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-whisper_big_kpn_pipeline_en.md
new file mode 100644
index 00000000000000..6edec0c92dcffb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-whisper_big_kpn_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_big_kpn_pipeline pipeline WhisperForCTC from susmitabhatt
+author: John Snow Labs
+name: whisper_big_kpn_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_big_kpn_pipeline` is a English model originally trained by susmitabhatt.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_big_kpn_pipeline_en_5.5.0_3.0_1726285503266.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_big_kpn_pipeline_en_5.5.0_3.0_1726285503266.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_big_kpn_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_big_kpn_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_big_kpn_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/susmitabhatt/whisper-big-kpn
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-whisper_gujarati_base_pipeline_gu.md b/docs/_posts/ahmedlone127/2024-09-14-whisper_gujarati_base_pipeline_gu.md
new file mode 100644
index 00000000000000..d4141ef6b1ef54
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-whisper_gujarati_base_pipeline_gu.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Gujarati whisper_gujarati_base_pipeline pipeline WhisperForCTC from vasista22
+author: John Snow Labs
+name: whisper_gujarati_base_pipeline
+date: 2024-09-14
+tags: [gu, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: gu
+edition: Spark 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_gujarati_base_pipeline` is a Gujarati model originally trained by vasista22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_gujarati_base_pipeline_gu_5.5.0_3.0_1726321509070.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_gujarati_base_pipeline_gu_5.5.0_3.0_1726321509070.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_gujarati_base_pipeline", lang = "gu")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_gujarati_base_pipeline", lang = "gu")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_gujarati_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|gu|
+|Size:|643.2 MB|
+
+## References
+
+https://huggingface.co/vasista22/whisper-gujarati-base
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-whisper_hf_whispy_it.md b/docs/_posts/ahmedlone127/2024-09-14-whisper_hf_whispy_it.md
new file mode 100644
index 00000000000000..6dd51c372ef4f8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-whisper_hf_whispy_it.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Italian whisper_hf_whispy WhisperForCTC from whispy
+author: John Snow Labs
+name: whisper_hf_whispy
+date: 2024-09-14
+tags: [it, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: it
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_hf_whispy` is a Italian model originally trained by whispy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_hf_whispy_it_5.5.0_3.0_1726284233047.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_hf_whispy_it_5.5.0_3.0_1726284233047.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_hf_whispy|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|it|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/whispy/whisper_hf
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-whisper_hf_whispy_pipeline_it.md b/docs/_posts/ahmedlone127/2024-09-14-whisper_hf_whispy_pipeline_it.md
new file mode 100644
index 00000000000000..247d2f166f2363
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-whisper_hf_whispy_pipeline_it.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Italian whisper_hf_whispy_pipeline pipeline WhisperForCTC from whispy
+author: John Snow Labs
+name: whisper_hf_whispy_pipeline
+date: 2024-09-14
+tags: [it, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: it
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_hf_whispy_pipeline` is a Italian model originally trained by whispy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_hf_whispy_pipeline_it_5.5.0_3.0_1726284309838.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_hf_whispy_pipeline_it_5.5.0_3.0_1726284309838.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_hf_whispy_pipeline", lang = "it")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_hf_whispy_pipeline", lang = "it")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_hf_whispy_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|it|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/whispy/whisper_hf
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-whisper_medium_korean_v0_1_2_pipeline_ko.md b/docs/_posts/ahmedlone127/2024-09-14-whisper_medium_korean_v0_1_2_pipeline_ko.md
new file mode 100644
index 00000000000000..f0f3bdf7b98808
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-whisper_medium_korean_v0_1_2_pipeline_ko.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Korean whisper_medium_korean_v0_1_2_pipeline pipeline WhisperForCTC from morish
+author: John Snow Labs
+name: whisper_medium_korean_v0_1_2_pipeline
+date: 2024-09-14
+tags: [ko, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: ko
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_medium_korean_v0_1_2_pipeline` is a Korean model originally trained by morish.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_medium_korean_v0_1_2_pipeline_ko_5.5.0_3.0_1726323151576.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_medium_korean_v0_1_2_pipeline_ko_5.5.0_3.0_1726323151576.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_medium_korean_v0_1_2_pipeline", lang = "ko")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_medium_korean_v0_1_2_pipeline", lang = "ko")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_medium_korean_v0_1_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ko|
+|Size:|4.8 GB|
+
+## References
+
+https://huggingface.co/morish/whisper-medium-ko-v0_1_2
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-whisper_medium_uzbek_extra_dataset_v2_en.md b/docs/_posts/ahmedlone127/2024-09-14-whisper_medium_uzbek_extra_dataset_v2_en.md
new file mode 100644
index 00000000000000..b2b0d20fa12836
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-whisper_medium_uzbek_extra_dataset_v2_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_medium_uzbek_extra_dataset_v2 WhisperForCTC from blackhole33
+author: John Snow Labs
+name: whisper_medium_uzbek_extra_dataset_v2
+date: 2024-09-14
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_medium_uzbek_extra_dataset_v2` is a English model originally trained by blackhole33.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_medium_uzbek_extra_dataset_v2_en_5.5.0_3.0_1726333473752.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_medium_uzbek_extra_dataset_v2_en_5.5.0_3.0_1726333473752.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small3_italian|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|it|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/luigisaetta/whisper-small3-it
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-whisper_small_cantonese_07_05_2024_2200_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-whisper_small_cantonese_07_05_2024_2200_pipeline_en.md
new file mode 100644
index 00000000000000..ddcc23332b6655
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-whisper_small_cantonese_07_05_2024_2200_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_cantonese_07_05_2024_2200_pipeline pipeline WhisperForCTC from poppysmickarlili
+author: John Snow Labs
+name: whisper_small_cantonese_07_05_2024_2200_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_cantonese_07_05_2024_2200_pipeline` is a English model originally trained by poppysmickarlili.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_cantonese_07_05_2024_2200_pipeline_en_5.5.0_3.0_1726284959643.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_cantonese_07_05_2024_2200_pipeline_en_5.5.0_3.0_1726284959643.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_cantonese_07_05_2024_2200_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_cantonese_07_05_2024_2200_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_cantonese_07_05_2024_2200_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/poppysmickarlili/whisper-small-cantonese_07-05-2024-2200
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-whisper_small_cebtoeng_hi.md b/docs/_posts/ahmedlone127/2024-09-14-whisper_small_cebtoeng_hi.md
new file mode 100644
index 00000000000000..6df382af594a22
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-whisper_small_cebtoeng_hi.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Hindi whisper_small_cebtoeng WhisperForCTC from ahoka
+author: John Snow Labs
+name: whisper_small_cebtoeng
+date: 2024-09-14
+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_cebtoeng` is a Hindi model originally trained by ahoka.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_cebtoeng_hi_5.5.0_3.0_1726275670767.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_cebtoeng_hi_5.5.0_3.0_1726275670767.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_cebtoeng|
+|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/ahoka/whisper-small-cebToEng
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-whisper_small_divehi_blackbook_lab_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-whisper_small_divehi_blackbook_lab_pipeline_en.md
new file mode 100644
index 00000000000000..8587489ea35198
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-whisper_small_divehi_blackbook_lab_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_divehi_blackbook_lab_pipeline pipeline WhisperForCTC from blackbook-lab
+author: John Snow Labs
+name: whisper_small_divehi_blackbook_lab_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_divehi_blackbook_lab_pipeline` is a English model originally trained by blackbook-lab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_divehi_blackbook_lab_pipeline_en_5.5.0_3.0_1726278506763.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_divehi_blackbook_lab_pipeline_en_5.5.0_3.0_1726278506763.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_divehi_blackbook_lab_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_divehi_blackbook_lab_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_divehi_blackbook_lab_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/blackbook-lab/whisper-small-dv
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-whisper_small_divehi_c14210097_dv.md b/docs/_posts/ahmedlone127/2024-09-14-whisper_small_divehi_c14210097_dv.md
new file mode 100644
index 00000000000000..fe9ac990c6d744
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-whisper_small_divehi_c14210097_dv.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Dhivehi, Divehi, Maldivian whisper_small_divehi_c14210097 WhisperForCTC from c14210097
+author: John Snow Labs
+name: whisper_small_divehi_c14210097
+date: 2024-09-14
+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_c14210097` is a Dhivehi, Divehi, Maldivian model originally trained by c14210097.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_divehi_c14210097_dv_5.5.0_3.0_1726328567040.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_divehi_c14210097_dv_5.5.0_3.0_1726328567040.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_fine_tuned_russian|
+|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/artyomboyko/whisper-small-fine_tuned-ru
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-whisper_small_finetuned_atco2_asr_atcosim_youngsangroh_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-whisper_small_finetuned_atco2_asr_atcosim_youngsangroh_pipeline_en.md
new file mode 100644
index 00000000000000..2e1aab08b72238
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-whisper_small_finetuned_atco2_asr_atcosim_youngsangroh_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_finetuned_atco2_asr_atcosim_youngsangroh_pipeline pipeline WhisperForCTC from youngsangroh
+author: John Snow Labs
+name: whisper_small_finetuned_atco2_asr_atcosim_youngsangroh_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_finetuned_atco2_asr_atcosim_youngsangroh_pipeline` is a English model originally trained by youngsangroh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_finetuned_atco2_asr_atcosim_youngsangroh_pipeline_en_5.5.0_3.0_1726299019763.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_finetuned_atco2_asr_atcosim_youngsangroh_pipeline_en_5.5.0_3.0_1726299019763.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_finetuned_atco2_asr_atcosim_youngsangroh_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_finetuned_atco2_asr_atcosim_youngsangroh_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_finetuned_atco2_asr_atcosim_youngsangroh_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/youngsangroh/whisper-small-finetuned-atco2-asr-atcosim
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-whisper_small_finetuned_hindi_commonvoice_pipeline_hi.md b/docs/_posts/ahmedlone127/2024-09-14-whisper_small_finetuned_hindi_commonvoice_pipeline_hi.md
new file mode 100644
index 00000000000000..1c0a8a1e2c37a0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-whisper_small_finetuned_hindi_commonvoice_pipeline_hi.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Hindi whisper_small_finetuned_hindi_commonvoice_pipeline pipeline WhisperForCTC from suvrobaner
+author: John Snow Labs
+name: whisper_small_finetuned_hindi_commonvoice_pipeline
+date: 2024-09-14
+tags: [hi, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: hi
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_finetuned_hindi_commonvoice_pipeline` is a Hindi model originally trained by suvrobaner.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_finetuned_hindi_commonvoice_pipeline_hi_5.5.0_3.0_1726332493627.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_finetuned_hindi_commonvoice_pipeline_hi_5.5.0_3.0_1726332493627.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_finetuned_hindi_commonvoice_pipeline", lang = "hi")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_finetuned_hindi_commonvoice_pipeline", lang = "hi")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_finetuned_hindi_commonvoice_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|hi|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/suvrobaner/whisper-small-finetuned-hi-commonvoice
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-whisper_small_indonesian_sandy_pipeline_id.md b/docs/_posts/ahmedlone127/2024-09-14-whisper_small_indonesian_sandy_pipeline_id.md
new file mode 100644
index 00000000000000..fbbfd89355db49
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-whisper_small_indonesian_sandy_pipeline_id.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Indonesian whisper_small_indonesian_sandy_pipeline pipeline WhisperForCTC from Sandrian
+author: John Snow Labs
+name: whisper_small_indonesian_sandy_pipeline
+date: 2024-09-14
+tags: [id, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: id
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_indonesian_sandy_pipeline` is a Indonesian model originally trained by Sandrian.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_indonesian_sandy_pipeline_id_5.5.0_3.0_1726275069819.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_indonesian_sandy_pipeline_id_5.5.0_3.0_1726275069819.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_indonesian_sandy_pipeline", lang = "id")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_indonesian_sandy_pipeline", lang = "id")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_indonesian_sandy_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|id|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Sandrian/whisper-small-id-sandy
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-whisper_small_kannada_pipeline_kn.md b/docs/_posts/ahmedlone127/2024-09-14-whisper_small_kannada_pipeline_kn.md
new file mode 100644
index 00000000000000..bd38b2d20b4c11
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-whisper_small_kannada_pipeline_kn.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Kannada whisper_small_kannada_pipeline pipeline WhisperForCTC from parambharat
+author: John Snow Labs
+name: whisper_small_kannada_pipeline
+date: 2024-09-14
+tags: [kn, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: kn
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_kannada_pipeline` is a Kannada model originally trained by parambharat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_kannada_pipeline_kn_5.5.0_3.0_1726285831428.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_kannada_pipeline_kn_5.5.0_3.0_1726285831428.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_kannada_pipeline", lang = "kn")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_kannada_pipeline", lang = "kn")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_kannada_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|kn|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/parambharat/whisper-small-kn
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-whisper_small_kinyarwanda_pipeline_rw.md b/docs/_posts/ahmedlone127/2024-09-14-whisper_small_kinyarwanda_pipeline_rw.md
new file mode 100644
index 00000000000000..1359a26833242e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-whisper_small_kinyarwanda_pipeline_rw.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Kinyarwanda whisper_small_kinyarwanda_pipeline pipeline WhisperForCTC from mbazaNLP
+author: John Snow Labs
+name: whisper_small_kinyarwanda_pipeline
+date: 2024-09-14
+tags: [rw, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: rw
+edition: Spark 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_kinyarwanda_pipeline` is a Kinyarwanda model originally trained by mbazaNLP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_kinyarwanda_pipeline_rw_5.5.0_3.0_1726276337686.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_kinyarwanda_pipeline_rw_5.5.0_3.0_1726276337686.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_kinyarwanda_pipeline", lang = "rw")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_kinyarwanda_pipeline", lang = "rw")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_kinyarwanda_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|rw|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/mbazaNLP/Whisper-Small-Kinyarwanda
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-whisper_small_portuguese_1000h_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-whisper_small_portuguese_1000h_pipeline_en.md
new file mode 100644
index 00000000000000..b8e309d44962f6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-whisper_small_portuguese_1000h_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_portuguese_1000h_pipeline pipeline WhisperForCTC from fsicoli
+author: John Snow Labs
+name: whisper_small_portuguese_1000h_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_portuguese_1000h_pipeline` is a English model originally trained by fsicoli.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_portuguese_1000h_pipeline_en_5.5.0_3.0_1726323238104.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_portuguese_1000h_pipeline_en_5.5.0_3.0_1726323238104.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_portuguese_1000h_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_portuguese_1000h_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_portuguese_1000h_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/fsicoli/whisper-small-pt-1000h
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-whisper_small_russian_1k_steps_ru.md b/docs/_posts/ahmedlone127/2024-09-14-whisper_small_russian_1k_steps_ru.md
new file mode 100644
index 00000000000000..13aa3d90276106
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-whisper_small_russian_1k_steps_ru.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Russian whisper_small_russian_1k_steps WhisperForCTC from sanchit-gandhi
+author: John Snow Labs
+name: whisper_small_russian_1k_steps
+date: 2024-09-14
+tags: [ru, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: ru
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_russian_1k_steps` is a Russian model originally trained by sanchit-gandhi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_russian_1k_steps_ru_5.5.0_3.0_1726329234764.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_russian_1k_steps_ru_5.5.0_3.0_1726329234764.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_russian_ord_0_9_0_1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|ru|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/mizoru/whisper-small-ru-ORD_0.9_0.1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-whisper_small_urdu_omar47_pipeline_ur.md b/docs/_posts/ahmedlone127/2024-09-14-whisper_small_urdu_omar47_pipeline_ur.md
new file mode 100644
index 00000000000000..9efb503de759e1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-whisper_small_urdu_omar47_pipeline_ur.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Urdu whisper_small_urdu_omar47_pipeline pipeline WhisperForCTC from omar47
+author: John Snow Labs
+name: whisper_small_urdu_omar47_pipeline
+date: 2024-09-14
+tags: [ur, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: ur
+edition: Spark 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_urdu_omar47_pipeline` is a Urdu model originally trained by omar47.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_urdu_omar47_pipeline_ur_5.5.0_3.0_1726297318441.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_urdu_omar47_pipeline_ur_5.5.0_3.0_1726297318441.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_urdu_omar47_pipeline", lang = "ur")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_urdu_omar47_pipeline", lang = "ur")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_urdu_omar47_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ur|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/omar47/whisper-small-ur
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-whisper_synthesized_turkish_2_hour_hlr_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-whisper_synthesized_turkish_2_hour_hlr_pipeline_en.md
new file mode 100644
index 00000000000000..59b20e9fe70f91
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-whisper_synthesized_turkish_2_hour_hlr_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_synthesized_turkish_2_hour_hlr_pipeline pipeline WhisperForCTC from alikanakar
+author: John Snow Labs
+name: whisper_synthesized_turkish_2_hour_hlr_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_synthesized_turkish_2_hour_hlr_pipeline` is a English model originally trained by alikanakar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_synthesized_turkish_2_hour_hlr_pipeline_en_5.5.0_3.0_1726328582146.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_synthesized_turkish_2_hour_hlr_pipeline_en_5.5.0_3.0_1726328582146.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_synthesized_turkish_2_hour_hlr_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_synthesized_turkish_2_hour_hlr_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_synthesized_turkish_2_hour_hlr_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/alikanakar/whisper-synthesized-turkish-2-hour-hlr
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-whisper_tiny_chinese_cn_lr4_b16_zh.md b/docs/_posts/ahmedlone127/2024-09-14-whisper_tiny_chinese_cn_lr4_b16_zh.md
new file mode 100644
index 00000000000000..ee30c5542e538e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-whisper_tiny_chinese_cn_lr4_b16_zh.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Chinese whisper_tiny_chinese_cn_lr4_b16 WhisperForCTC from VingeNie
+author: John Snow Labs
+name: whisper_tiny_chinese_cn_lr4_b16
+date: 2024-09-14
+tags: [zh, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: zh
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_chinese_cn_lr4_b16` is a Chinese model originally trained by VingeNie.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_chinese_cn_lr4_b16_zh_5.5.0_3.0_1726299141652.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_chinese_cn_lr4_b16_zh_5.5.0_3.0_1726299141652.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_oshiwambo_speech|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|390.8 MB|
+
+## References
+
+https://huggingface.co/jpandeinge/whisper-tiny-oshiwambo-speech
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-wikitext_roberta_base_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-wikitext_roberta_base_pipeline_en.md
new file mode 100644
index 00000000000000..8deda835c40e49
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-wikitext_roberta_base_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English wikitext_roberta_base_pipeline pipeline RoBertaEmbeddings from gary109
+author: John Snow Labs
+name: wikitext_roberta_base_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`wikitext_roberta_base_pipeline` is a English model originally trained by gary109.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/wikitext_roberta_base_pipeline_en_5.5.0_3.0_1726300195373.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/wikitext_roberta_base_pipeline_en_5.5.0_3.0_1726300195373.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("wikitext_roberta_base_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("wikitext_roberta_base_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|wikitext_roberta_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.4 MB|
+
+## References
+
+https://huggingface.co/gary109/wikitext_roberta-base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-xlm_roberta_base_finetuned_panx_french_kata958_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-xlm_roberta_base_finetuned_panx_french_kata958_pipeline_en.md
new file mode 100644
index 00000000000000..e5e18e3c414987
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-xlm_roberta_base_finetuned_panx_french_kata958_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_kata958_pipeline pipeline XlmRoBertaForTokenClassification from kata958
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_kata958_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_kata958_pipeline` is a English model originally trained by kata958.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_kata958_pipeline_en_5.5.0_3.0_1726290266719.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_kata958_pipeline_en_5.5.0_3.0_1726290266719.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_kata958_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_kata958_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_kata958_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|827.9 MB|
+
+## References
+
+https://huggingface.co/kata958/xlm-roberta-base-finetuned-panx-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-xlm_roberta_base_finetuned_panx_german_ysige_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-14-xlm_roberta_base_finetuned_panx_german_ysige_pipeline_en.md
new file mode 100644
index 00000000000000..5cce775c35b2be
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-xlm_roberta_base_finetuned_panx_german_ysige_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_ysige_pipeline pipeline XlmRoBertaForTokenClassification from ysige
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_ysige_pipeline
+date: 2024-09-14
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_ysige_pipeline` is a English model originally trained by ysige.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_ysige_pipeline_en_5.5.0_3.0_1726345541764.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_ysige_pipeline_en_5.5.0_3.0_1726345541764.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_ysige_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_ysige_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_ysige_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|853.8 MB|
+
+## References
+
+https://huggingface.co/ysige/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-14-xlm_roberta_base_twitter_indonesia_sarcastic_en.md b/docs/_posts/ahmedlone127/2024-09-14-xlm_roberta_base_twitter_indonesia_sarcastic_en.md
new file mode 100644
index 00000000000000..98135d3dd9aa66
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-14-xlm_roberta_base_twitter_indonesia_sarcastic_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_twitter_indonesia_sarcastic XlmRoBertaForSequenceClassification from w11wo
+author: John Snow Labs
+name: xlm_roberta_base_twitter_indonesia_sarcastic
+date: 2024-09-14
+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_twitter_indonesia_sarcastic` is a English model originally trained by w11wo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_twitter_indonesia_sarcastic_en_5.5.0_3.0_1726317287314.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_twitter_indonesia_sarcastic_en_5.5.0_3.0_1726317287314.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_twitter_indonesia_sarcastic|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|808.5 MB|
+
+## References
+
+https://huggingface.co/w11wo/xlm-roberta-base-twitter-indonesia-sarcastic
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-4_datasets_fake_news_with_balanced_with_raw_data_en.md b/docs/_posts/ahmedlone127/2024-09-15-4_datasets_fake_news_with_balanced_with_raw_data_en.md
new file mode 100644
index 00000000000000..55cdd23746353a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-4_datasets_fake_news_with_balanced_with_raw_data_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English 4_datasets_fake_news_with_balanced_with_raw_data DistilBertForSequenceClassification from littlepinhorse
+author: John Snow Labs
+name: 4_datasets_fake_news_with_balanced_with_raw_data
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`4_datasets_fake_news_with_balanced_with_raw_data` is a English model originally trained by littlepinhorse.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/4_datasets_fake_news_with_balanced_with_raw_data_en_5.5.0_3.0_1726385011004.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/4_datasets_fake_news_with_balanced_with_raw_data_en_5.5.0_3.0_1726385011004.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|4_datasets_fake_news_with_balanced_with_raw_data|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/littlepinhorse/4_datasets_fake_news_with_Balanced_With_Raw_Data
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-7eg_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-7eg_pipeline_en.md
new file mode 100644
index 00000000000000..caeaa9cb77c8e2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-7eg_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English 7eg_pipeline pipeline RoBertaForSequenceClassification from aloxatel
+author: John Snow Labs
+name: 7eg_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`7eg_pipeline` is a English model originally trained by aloxatel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/7eg_pipeline_en_5.5.0_3.0_1726402231817.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/7eg_pipeline_en_5.5.0_3.0_1726402231817.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("7eg_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("7eg_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|7eg_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/aloxatel/7EG
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-acrossapps_ndd_dimeshift_test_content_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-acrossapps_ndd_dimeshift_test_content_pipeline_en.md
new file mode 100644
index 00000000000000..af016b918a5b8d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-acrossapps_ndd_dimeshift_test_content_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English acrossapps_ndd_dimeshift_test_content_pipeline pipeline DistilBertForSequenceClassification from lgk03
+author: John Snow Labs
+name: acrossapps_ndd_dimeshift_test_content_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`acrossapps_ndd_dimeshift_test_content_pipeline` is a English model originally trained by lgk03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/acrossapps_ndd_dimeshift_test_content_pipeline_en_5.5.0_3.0_1726393560623.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/acrossapps_ndd_dimeshift_test_content_pipeline_en_5.5.0_3.0_1726393560623.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("acrossapps_ndd_dimeshift_test_content_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("acrossapps_ndd_dimeshift_test_content_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|acrossapps_ndd_dimeshift_test_content_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lgk03/ACROSSAPPS_NDD-dimeshift_test-content
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-albert_large_v2weighted_hoax_classifier_definition_en.md b/docs/_posts/ahmedlone127/2024-09-15-albert_large_v2weighted_hoax_classifier_definition_en.md
new file mode 100644
index 00000000000000..b24fbf48bbbc39
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-albert_large_v2weighted_hoax_classifier_definition_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English albert_large_v2weighted_hoax_classifier_definition AlbertForSequenceClassification from research-dump
+author: John Snow Labs
+name: albert_large_v2weighted_hoax_classifier_definition
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, albert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: AlbertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`albert_large_v2weighted_hoax_classifier_definition` is a English model originally trained by research-dump.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_large_v2weighted_hoax_classifier_definition_en_5.5.0_3.0_1726395860869.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_large_v2weighted_hoax_classifier_definition_en_5.5.0_3.0_1726395860869.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_large_v2weighted_hoax_classifier_definition|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|66.7 MB|
+
+## References
+
+https://huggingface.co/research-dump/albert-large-v2weighted_hoax_classifier_definition
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-amazonbaby5000_emotional_check_38sebastian_en.md b/docs/_posts/ahmedlone127/2024-09-15-amazonbaby5000_emotional_check_38sebastian_en.md
new file mode 100644
index 00000000000000..29326dd24b843d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-amazonbaby5000_emotional_check_38sebastian_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English amazonbaby5000_emotional_check_38sebastian DistilBertForSequenceClassification from 38sebastian
+author: John Snow Labs
+name: amazonbaby5000_emotional_check_38sebastian
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`amazonbaby5000_emotional_check_38sebastian` is a English model originally trained by 38sebastian.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/amazonbaby5000_emotional_check_38sebastian_en_5.5.0_3.0_1726393867121.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/amazonbaby5000_emotional_check_38sebastian_en_5.5.0_3.0_1726393867121.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|amazonbaby5000_emotional_check_38sebastian|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/38sebastian/amazonbaby5000_emotional_check
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-amazonbaby_5000_jxptlr_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-amazonbaby_5000_jxptlr_pipeline_en.md
new file mode 100644
index 00000000000000..51af27133746df
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-amazonbaby_5000_jxptlr_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English amazonbaby_5000_jxptlr_pipeline pipeline DistilBertForSequenceClassification from Jxptlr
+author: John Snow Labs
+name: amazonbaby_5000_jxptlr_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`amazonbaby_5000_jxptlr_pipeline` is a English model originally trained by Jxptlr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/amazonbaby_5000_jxptlr_pipeline_en_5.5.0_3.0_1726406573847.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/amazonbaby_5000_jxptlr_pipeline_en_5.5.0_3.0_1726406573847.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("amazonbaby_5000_jxptlr_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("amazonbaby_5000_jxptlr_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|amazonbaby_5000_jxptlr_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Jxptlr/amazonbaby-5000
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-babyberta_aochildes_2_5m_aochildes_french_with_masking_seed6_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2024-09-15-babyberta_aochildes_2_5m_aochildes_french_with_masking_seed6_finetuned_squad_en.md
new file mode 100644
index 00000000000000..078fef34006a95
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-babyberta_aochildes_2_5m_aochildes_french_with_masking_seed6_finetuned_squad_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English babyberta_aochildes_2_5m_aochildes_french_with_masking_seed6_finetuned_squad RoBertaForQuestionAnswering from lielbin
+author: John Snow Labs
+name: babyberta_aochildes_2_5m_aochildes_french_with_masking_seed6_finetuned_squad
+date: 2024-09-15
+tags: [en, open_source, onnx, question_answering, roberta]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`babyberta_aochildes_2_5m_aochildes_french_with_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_2_5m_aochildes_french_with_masking_seed6_finetuned_squad_en_5.5.0_3.0_1726364080794.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_with_masking_seed6_finetuned_squad_en_5.5.0_3.0_1726364080794.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_2_5m_aochildes_french_with_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_2.5M_aochildes-french-with-Masking-seed6-finetuned-SQuAD
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-bert_base_uncased_itr1_en.md b/docs/_posts/ahmedlone127/2024-09-15-bert_base_uncased_itr1_en.md
new file mode 100644
index 00000000000000..3e387fe1b3d02b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-bert_base_uncased_itr1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_uncased_itr1 DistilBertForSequenceClassification from MeanBean-05
+author: John Snow Labs
+name: bert_base_uncased_itr1
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_itr1` is a English model originally trained by MeanBean-05.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_itr1_en_5.5.0_3.0_1726393890099.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_itr1_en_5.5.0_3.0_1726393890099.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_itr1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/MeanBean-05/bert-base-uncased-itr1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-bert_finetuned_squad_accelerate22_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-bert_finetuned_squad_accelerate22_pipeline_en.md
new file mode 100644
index 00000000000000..8085c6f9ce498f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-bert_finetuned_squad_accelerate22_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_finetuned_squad_accelerate22_pipeline pipeline RoBertaForQuestionAnswering from makdong
+author: John Snow Labs
+name: bert_finetuned_squad_accelerate22_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_finetuned_squad_accelerate22_pipeline` is a English model originally trained by makdong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_finetuned_squad_accelerate22_pipeline_en_5.5.0_3.0_1726369263653.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_finetuned_squad_accelerate22_pipeline_en_5.5.0_3.0_1726369263653.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_finetuned_squad_accelerate22_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_finetuned_squad_accelerate22_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_finetuned_squad_accelerate22_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|461.9 MB|
+
+## References
+
+https://huggingface.co/makdong/bert-finetuned-squad-accelerate22
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-bert_one_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-bert_one_pipeline_en.md
new file mode 100644
index 00000000000000..eae9d6ee82c79b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-bert_one_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_one_pipeline pipeline BertEmbeddings from emma7897
+author: John Snow Labs
+name: bert_one_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_one_pipeline` is a English model originally trained by emma7897.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_one_pipeline_en_5.5.0_3.0_1726399280924.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_one_pipeline_en_5.5.0_3.0_1726399280924.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_one_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_one_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_one_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/emma7897/bert_one
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-bert_vllm_gemma2b_stringmatcher_newdataset_4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-bert_vllm_gemma2b_stringmatcher_newdataset_4_pipeline_en.md
new file mode 100644
index 00000000000000..767f54c25fffb5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-bert_vllm_gemma2b_stringmatcher_newdataset_4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_vllm_gemma2b_stringmatcher_newdataset_4_pipeline pipeline DistilBertForSequenceClassification from jvelja
+author: John Snow Labs
+name: bert_vllm_gemma2b_stringmatcher_newdataset_4_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_vllm_gemma2b_stringmatcher_newdataset_4_pipeline` is a English model originally trained by jvelja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_vllm_gemma2b_stringmatcher_newdataset_4_pipeline_en_5.5.0_3.0_1726385009620.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_vllm_gemma2b_stringmatcher_newdataset_4_pipeline_en_5.5.0_3.0_1726385009620.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_vllm_gemma2b_stringmatcher_newdataset_4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_vllm_gemma2b_stringmatcher_newdataset_4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_vllm_gemma2b_stringmatcher_newdataset_4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jvelja/BERT_vllm-gemma2b-stringMatcher-newDataset_4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-burmese_awesome_model_andrew6_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-burmese_awesome_model_andrew6_pipeline_en.md
new file mode 100644
index 00000000000000..c73b081c995d18
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-burmese_awesome_model_andrew6_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_awesome_model_andrew6_pipeline pipeline DistilBertForSequenceClassification from andrew6
+author: John Snow Labs
+name: burmese_awesome_model_andrew6_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_andrew6_pipeline` is a English model originally trained by andrew6.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_andrew6_pipeline_en_5.5.0_3.0_1726394198138.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_andrew6_pipeline_en_5.5.0_3.0_1726394198138.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_awesome_model_andrew6_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_model_andrew6_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_model_andrew6_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/andrew6/my_awesome_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-burmese_awesome_qa_model_hark99_en.md b/docs/_posts/ahmedlone127/2024-09-15-burmese_awesome_qa_model_hark99_en.md
new file mode 100644
index 00000000000000..a51fd38077cf11
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-burmese_awesome_qa_model_hark99_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_hark99 DistilBertForQuestionAnswering from hark99
+author: John Snow Labs
+name: burmese_awesome_qa_model_hark99
+date: 2024-09-15
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_hark99` is a English model originally trained by hark99.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_hark99_en_5.5.0_3.0_1726435176192.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_hark99_en_5.5.0_3.0_1726435176192.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_hark99|
+|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/hark99/my_awesome_qa_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-burmese_awesome_qa_model_jibuaji_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-burmese_awesome_qa_model_jibuaji_pipeline_en.md
new file mode 100644
index 00000000000000..292f3d53675db3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-burmese_awesome_qa_model_jibuaji_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_jibuaji_pipeline pipeline DistilBertForQuestionAnswering from JibuAji
+author: John Snow Labs
+name: burmese_awesome_qa_model_jibuaji_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_jibuaji_pipeline` is a English model originally trained by JibuAji.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_jibuaji_pipeline_en_5.5.0_3.0_1726382693790.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_jibuaji_pipeline_en_5.5.0_3.0_1726382693790.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_jibuaji_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_qa_model_jibuaji_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_jibuaji_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/JibuAji/my_awesome_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-burmese_awesome_qa_model_ranamahdavi_en.md b/docs/_posts/ahmedlone127/2024-09-15-burmese_awesome_qa_model_ranamahdavi_en.md
new file mode 100644
index 00000000000000..81368a4bf964fd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-burmese_awesome_qa_model_ranamahdavi_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_ranamahdavi DistilBertForQuestionAnswering from ranamahdavi
+author: John Snow Labs
+name: burmese_awesome_qa_model_ranamahdavi
+date: 2024-09-15
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_ranamahdavi` is a English model originally trained by ranamahdavi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_ranamahdavi_en_5.5.0_3.0_1726435357176.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_ranamahdavi_en_5.5.0_3.0_1726435357176.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_ranamahdavi|
+|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/ranamahdavi/my_awesome_qa_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-codebert_base_mlm_microsoft_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-codebert_base_mlm_microsoft_pipeline_en.md
new file mode 100644
index 00000000000000..f86d84db09890b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-codebert_base_mlm_microsoft_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English codebert_base_mlm_microsoft_pipeline pipeline RoBertaEmbeddings from microsoft
+author: John Snow Labs
+name: codebert_base_mlm_microsoft_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`codebert_base_mlm_microsoft_pipeline` is a English model originally trained by microsoft.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/codebert_base_mlm_microsoft_pipeline_en_5.5.0_3.0_1726383973898.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/codebert_base_mlm_microsoft_pipeline_en_5.5.0_3.0_1726383973898.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("codebert_base_mlm_microsoft_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("codebert_base_mlm_microsoft_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|codebert_base_mlm_microsoft_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.1 MB|
+
+## References
+
+https://huggingface.co/microsoft/codebert-base-mlm
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-cuad_distil_governing_law_cased_08_31_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-cuad_distil_governing_law_cased_08_31_v1_pipeline_en.md
new file mode 100644
index 00000000000000..052d1314a90831
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-cuad_distil_governing_law_cased_08_31_v1_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English cuad_distil_governing_law_cased_08_31_v1_pipeline pipeline DistilBertForQuestionAnswering from saraks
+author: John Snow Labs
+name: cuad_distil_governing_law_cased_08_31_v1_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cuad_distil_governing_law_cased_08_31_v1_pipeline` is a English model originally trained by saraks.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cuad_distil_governing_law_cased_08_31_v1_pipeline_en_5.5.0_3.0_1726382722606.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cuad_distil_governing_law_cased_08_31_v1_pipeline_en_5.5.0_3.0_1726382722606.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cuad_distil_governing_law_cased_08_31_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cuad_distil_governing_law_cased_08_31_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cuad_distil_governing_law_cased_08_31_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/saraks/cuad-distil-governing_law-cased-08-31-v1
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-cuatr_distilbert_en.md b/docs/_posts/ahmedlone127/2024-09-15-cuatr_distilbert_en.md
new file mode 100644
index 00000000000000..127f8f85ba73c9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-cuatr_distilbert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English cuatr_distilbert DistilBertForSequenceClassification from chathuru
+author: John Snow Labs
+name: cuatr_distilbert
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cuatr_distilbert` is a English model originally trained by chathuru.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cuatr_distilbert_en_5.5.0_3.0_1726394170741.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cuatr_distilbert_en_5.5.0_3.0_1726394170741.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|custom_peft_whiper_small_korean_v3|
+|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/devkya/custom-peft-whiper-small-ko-v3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-db_mc2_3_3_en.md b/docs/_posts/ahmedlone127/2024-09-15-db_mc2_3_3_en.md
new file mode 100644
index 00000000000000..544a2601ee3bff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-db_mc2_3_3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English db_mc2_3_3 DistilBertForSequenceClassification from exala
+author: John Snow Labs
+name: db_mc2_3_3
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`db_mc2_3_3` is a English model originally trained by exala.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/db_mc2_3_3_en_5.5.0_3.0_1726366096965.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/db_mc2_3_3_en_5.5.0_3.0_1726366096965.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|db_mc2_3_3|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/exala/db_mc2_3.3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-dfm_ed2_en.md b/docs/_posts/ahmedlone127/2024-09-15-dfm_ed2_en.md
new file mode 100644
index 00000000000000..cf3d3700a2311a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-dfm_ed2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English dfm_ed2 BertForSequenceClassification from yemen2016
+author: John Snow Labs
+name: dfm_ed2
+date: 2024-09-15
+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.`dfm_ed2` is a English model originally trained by yemen2016.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dfm_ed2_en_5.5.0_3.0_1726378497208.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dfm_ed2_en_5.5.0_3.0_1726378497208.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dfm_ed2|
+|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/yemen2016/dfm_ED2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-dfm_ed2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-dfm_ed2_pipeline_en.md
new file mode 100644
index 00000000000000..c6334a30b3e4ca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-dfm_ed2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dfm_ed2_pipeline pipeline BertForSequenceClassification from yemen2016
+author: John Snow Labs
+name: dfm_ed2_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dfm_ed2_pipeline` is a English model originally trained by yemen2016.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dfm_ed2_pipeline_en_5.5.0_3.0_1726378559685.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dfm_ed2_pipeline_en_5.5.0_3.0_1726378559685.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dfm_ed2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dfm_ed2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dfm_ed2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/yemen2016/dfm_ED2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_multilingual_cased_jaquad_pipeline_xx.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_multilingual_cased_jaquad_pipeline_xx.md
new file mode 100644
index 00000000000000..c5f41da648cc79
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_multilingual_cased_jaquad_pipeline_xx.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Multilingual distilbert_base_multilingual_cased_jaquad_pipeline pipeline DistilBertForQuestionAnswering from cuongtk2002
+author: John Snow Labs
+name: distilbert_base_multilingual_cased_jaquad_pipeline
+date: 2024-09-15
+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_base_multilingual_cased_jaquad_pipeline` is a Multilingual model originally trained by cuongtk2002.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_jaquad_pipeline_xx_5.5.0_3.0_1726382538372.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_multilingual_cased_jaquad_pipeline_xx_5.5.0_3.0_1726382538372.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_multilingual_cased_jaquad_pipeline", lang = "xx")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_multilingual_cased_jaquad_pipeline", lang = "xx")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_multilingual_cased_jaquad_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|xx|
+|Size:|505.4 MB|
+
+## References
+
+https://huggingface.co/cuongtk2002/distilbert-base-multilingual-cased-JaQuAD
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_spanish_uncased_finetuned_squad_spanish_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_spanish_uncased_finetuned_squad_spanish_en.md
new file mode 100644
index 00000000000000..aa463a58e92dec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_spanish_uncased_finetuned_squad_spanish_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_spanish_uncased_finetuned_squad_spanish DistilBertForQuestionAnswering from piturrolfio
+author: John Snow Labs
+name: distilbert_base_spanish_uncased_finetuned_squad_spanish
+date: 2024-09-15
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_spanish_uncased_finetuned_squad_spanish` is a English model originally trained by piturrolfio.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_spanish_uncased_finetuned_squad_spanish_en_5.5.0_3.0_1726435298852.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_spanish_uncased_finetuned_squad_spanish_en_5.5.0_3.0_1726435298852.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_spanish_uncased_finetuned_squad_spanish|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|250.2 MB|
+
+## References
+
+https://huggingface.co/piturrolfio/distilbert-base-spanish-uncased-finetuned-squad-es
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_emotion_ft_0416_chris2me_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_emotion_ft_0416_chris2me_en.md
new file mode 100644
index 00000000000000..68cb7cd3beccd1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_emotion_ft_0416_chris2me_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_emotion_ft_0416_chris2me DistilBertForSequenceClassification from Chris2me
+author: John Snow Labs
+name: distilbert_base_uncased_emotion_ft_0416_chris2me
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_emotion_ft_0416_chris2me` is a English model originally trained by Chris2me.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_ft_0416_chris2me_en_5.5.0_3.0_1726393997126.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_emotion_ft_0416_chris2me_en_5.5.0_3.0_1726393997126.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_emotion_ft_0416_chris2me|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Chris2me/distilbert-base-uncased_emotion_ft_0416
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_clinc_esperesa_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_clinc_esperesa_en.md
new file mode 100644
index 00000000000000..67309b994265f9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_clinc_esperesa_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_clinc_esperesa DistilBertForSequenceClassification from esperesa
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_clinc_esperesa
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_clinc_esperesa` is a English model originally trained by esperesa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_esperesa_en_5.5.0_3.0_1726366116229.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_clinc_esperesa_en_5.5.0_3.0_1726366116229.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_clinc_esperesa|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.9 MB|
+
+## References
+
+https://huggingface.co/esperesa/distilbert-base-uncased-finetuned-clinc
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_emotion_deionk_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_emotion_deionk_en.md
new file mode 100644
index 00000000000000..68f9c99654068c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_emotion_deionk_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_deionk DistilBertForSequenceClassification from deionk
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_deionk
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_deionk` is a English model originally trained by deionk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_deionk_en_5.5.0_3.0_1726366387587.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_deionk_en_5.5.0_3.0_1726366387587.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_deionk|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/deionk/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_emotion_deionk_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_emotion_deionk_pipeline_en.md
new file mode 100644
index 00000000000000..0696d4fef2eb89
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_emotion_deionk_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_deionk_pipeline pipeline DistilBertForSequenceClassification from deionk
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_deionk_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_deionk_pipeline` is a English model originally trained by deionk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_deionk_pipeline_en_5.5.0_3.0_1726366399710.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_deionk_pipeline_en_5.5.0_3.0_1726366399710.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_deionk_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_deionk_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_deionk_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/deionk/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_emotion_maydogdu_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_emotion_maydogdu_pipeline_en.md
new file mode 100644
index 00000000000000..2e8b7081cc2a29
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_emotion_maydogdu_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_maydogdu_pipeline pipeline DistilBertForSequenceClassification from maydogdu
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_maydogdu_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_maydogdu_pipeline` is a English model originally trained by maydogdu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_maydogdu_pipeline_en_5.5.0_3.0_1726366124178.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_maydogdu_pipeline_en_5.5.0_3.0_1726366124178.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_maydogdu_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_maydogdu_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_maydogdu_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/maydogdu/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_emotion_tagaway_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_emotion_tagaway_pipeline_en.md
new file mode 100644
index 00000000000000..10754e93b89ef2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_emotion_tagaway_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_tagaway_pipeline pipeline DistilBertForSequenceClassification from tagaway
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_tagaway_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_tagaway_pipeline` is a English model originally trained by tagaway.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_tagaway_pipeline_en_5.5.0_3.0_1726393787971.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_tagaway_pipeline_en_5.5.0_3.0_1726393787971.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_tagaway_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_tagaway_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_tagaway_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/tagaway/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_emotion_thomnis_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_emotion_thomnis_en.md
new file mode 100644
index 00000000000000..bccbf3baa7cdd4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_emotion_thomnis_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_thomnis DistilBertForSequenceClassification from thomnis
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_thomnis
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_thomnis` is a English model originally trained by thomnis.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_thomnis_en_5.5.0_3.0_1726366098677.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_thomnis_en_5.5.0_3.0_1726366098677.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_thomnis|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/thomnis/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_emrqa_msquad_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_emrqa_msquad_pipeline_en.md
new file mode 100644
index 00000000000000..2903070667e82f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_emrqa_msquad_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emrqa_msquad_pipeline pipeline DistilBertForQuestionAnswering from wieheistdu
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emrqa_msquad_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emrqa_msquad_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_emrqa_msquad_pipeline_en_5.5.0_3.0_1726382400882.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emrqa_msquad_pipeline_en_5.5.0_3.0_1726382400882.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_emrqa_msquad_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emrqa_msquad_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emrqa_msquad_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-emrQA-msquad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_squad_gogo0920_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_squad_gogo0920_pipeline_en.md
new file mode 100644
index 00000000000000..576796d4562197
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_squad_gogo0920_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_gogo0920_pipeline pipeline DistilBertForQuestionAnswering from gogo0920
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_gogo0920_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_gogo0920_pipeline` is a English model originally trained by gogo0920.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_gogo0920_pipeline_en_5.5.0_3.0_1726434998362.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_gogo0920_pipeline_en_5.5.0_3.0_1726434998362.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_gogo0920_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_gogo0920_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_gogo0920_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/gogo0920/distilbert-base-uncased-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_squad_minji222_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_squad_minji222_en.md
new file mode 100644
index 00000000000000..d6a3c79b9c6785
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_squad_minji222_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_minji222 DistilBertForQuestionAnswering from minji222
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_minji222
+date: 2024-09-15
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_minji222` is a English model originally trained by minji222.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_minji222_en_5.5.0_3.0_1726382538296.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_minji222_en_5.5.0_3.0_1726382538296.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_sasi1565|
+|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/Sasi1565/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_squad_sasi1565_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_squad_sasi1565_pipeline_en.md
new file mode 100644
index 00000000000000..ed8546cc5f9205
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_squad_sasi1565_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_sasi1565_pipeline pipeline DistilBertForQuestionAnswering from Sasi1565
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_sasi1565_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_sasi1565_pipeline` is a English model originally trained by Sasi1565.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_sasi1565_pipeline_en_5.5.0_3.0_1726435334503.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_sasi1565_pipeline_en_5.5.0_3.0_1726435334503.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_sasi1565_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_sasi1565_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_sasi1565_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Sasi1565/distilbert-base-uncased-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_squad_wendywangwww_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_squad_wendywangwww_en.md
new file mode 100644
index 00000000000000..635a1770196ad3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_squad_wendywangwww_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_wendywangwww DistilBertForQuestionAnswering from wendywangwww
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_wendywangwww
+date: 2024-09-15
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_wendywangwww` is a English model originally trained by wendywangwww.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_wendywangwww_en_5.5.0_3.0_1726435072168.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_wendywangwww_en_5.5.0_3.0_1726435072168.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_wendywangwww|
+|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/wendywangwww/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_squad_wendywangwww_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_squad_wendywangwww_pipeline_en.md
new file mode 100644
index 00000000000000..fc981f1e219cfa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_finetuned_squad_wendywangwww_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_wendywangwww_pipeline pipeline DistilBertForQuestionAnswering from wendywangwww
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_wendywangwww_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_wendywangwww_pipeline` is a English model originally trained by wendywangwww.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_wendywangwww_pipeline_en_5.5.0_3.0_1726435084146.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_wendywangwww_pipeline_en_5.5.0_3.0_1726435084146.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_wendywangwww_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_wendywangwww_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_wendywangwww_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/wendywangwww/distilbert-base-uncased-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_odm_zphr_0st2sd_ut72ut1_plprefix0stlarge2_simsp400_clean100_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_odm_zphr_0st2sd_ut72ut1_plprefix0stlarge2_simsp400_clean100_pipeline_en.md
new file mode 100644
index 00000000000000..bbbff7eb7065c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_odm_zphr_0st2sd_ut72ut1_plprefix0stlarge2_simsp400_clean100_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st2sd_ut72ut1_plprefix0stlarge2_simsp400_clean100_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st2sd_ut72ut1_plprefix0stlarge2_simsp400_clean100_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st2sd_ut72ut1_plprefix0stlarge2_simsp400_clean100_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st2sd_ut72ut1_plprefix0stlarge2_simsp400_clean100_pipeline_en_5.5.0_3.0_1726406032186.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st2sd_ut72ut1_plprefix0stlarge2_simsp400_clean100_pipeline_en_5.5.0_3.0_1726406032186.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st2sd_ut72ut1_plprefix0stlarge2_simsp400_clean100_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st2sd_ut72ut1_plprefix0stlarge2_simsp400_clean100_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st2sd_ut72ut1_plprefix0stlarge2_simsp400_clean100_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st2sd_ut72ut1_PLPrefix0stlarge2_simsp400_clean100
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_odm_zphr_0st4sd_ut72ut5_plprefix0stlarge4_simsp100_clean300_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_odm_zphr_0st4sd_ut72ut5_plprefix0stlarge4_simsp100_clean300_en.md
new file mode 100644
index 00000000000000..3dfce27f603faf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_odm_zphr_0st4sd_ut72ut5_plprefix0stlarge4_simsp100_clean300_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st4sd_ut72ut5_plprefix0stlarge4_simsp100_clean300 DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st4sd_ut72ut5_plprefix0stlarge4_simsp100_clean300
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st4sd_ut72ut5_plprefix0stlarge4_simsp100_clean300` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st4sd_ut72ut5_plprefix0stlarge4_simsp100_clean300_en_5.5.0_3.0_1726405908442.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st4sd_ut72ut5_plprefix0stlarge4_simsp100_clean300_en_5.5.0_3.0_1726405908442.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_0st4sd_ut72ut5_plprefix0stlarge4_simsp100_clean300|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.6 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st4sd_ut72ut5_PLPrefix0stlarge4_simsp100_clean300
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_odm_zphr_0st5sd_ut52ut1_plprefix0stlarge5_simsp100_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_odm_zphr_0st5sd_ut52ut1_plprefix0stlarge5_simsp100_pipeline_en.md
new file mode 100644
index 00000000000000..69938730180e55
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_odm_zphr_0st5sd_ut52ut1_plprefix0stlarge5_simsp100_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st5sd_ut52ut1_plprefix0stlarge5_simsp100_pipeline pipeline DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st5sd_ut52ut1_plprefix0stlarge5_simsp100_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st5sd_ut52ut1_plprefix0stlarge5_simsp100_pipeline` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st5sd_ut52ut1_plprefix0stlarge5_simsp100_pipeline_en_5.5.0_3.0_1726365729373.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st5sd_ut52ut1_plprefix0stlarge5_simsp100_pipeline_en_5.5.0_3.0_1726365729373.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st5sd_ut52ut1_plprefix0stlarge5_simsp100_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_odm_zphr_0st5sd_ut52ut1_plprefix0stlarge5_simsp100_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_odm_zphr_0st5sd_ut52ut1_plprefix0stlarge5_simsp100_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.7 MB|
+
+## References
+
+https://huggingface.co/tom192180/distilbert-base-uncased_odm_zphr_0st5sd_ut52ut1_PLPrefix0stlarge5_simsp100
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_squad2_p90_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_squad2_p90_en.md
new file mode 100644
index 00000000000000..f3facac8c94d08
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_squad2_p90_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_squad2_p90 DistilBertForQuestionAnswering from pminha
+author: John Snow Labs
+name: distilbert_base_uncased_squad2_p90
+date: 2024-09-15
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_squad2_p90` is a English model originally trained by pminha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_squad2_p90_en_5.5.0_3.0_1726435390343.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_squad2_p90_en_5.5.0_3.0_1726435390343.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_p90|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|121.9 MB|
+
+## References
+
+https://huggingface.co/pminha/distilbert-base-uncased-squad2-p90
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_squad2_p90_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_squad2_p90_pipeline_en.md
new file mode 100644
index 00000000000000..3e6eb5de1936e1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_base_uncased_squad2_p90_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_squad2_p90_pipeline pipeline DistilBertForQuestionAnswering from pminha
+author: John Snow Labs
+name: distilbert_base_uncased_squad2_p90_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_squad2_p90_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_p90_pipeline_en_5.5.0_3.0_1726435402557.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_squad2_p90_pipeline_en_5.5.0_3.0_1726435402557.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_p90_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_squad2_p90_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_squad2_p90_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|121.9 MB|
+
+## References
+
+https://huggingface.co/pminha/distilbert-base-uncased-squad2-p90
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_emotion_eserdy_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_emotion_eserdy_pipeline_en.md
new file mode 100644
index 00000000000000..f14efa3fd67fb1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_emotion_eserdy_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_emotion_eserdy_pipeline pipeline DistilBertForSequenceClassification from eserdy
+author: John Snow Labs
+name: distilbert_emotion_eserdy_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_emotion_eserdy_pipeline` is a English model originally trained by eserdy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_emotion_eserdy_pipeline_en_5.5.0_3.0_1726406577743.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_emotion_eserdy_pipeline_en_5.5.0_3.0_1726406577743.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_emotion_eserdy_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_emotion_eserdy_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_emotion_eserdy_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/eserdy/distilbert-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_finance_future_amounts_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_finance_future_amounts_pipeline_en.md
new file mode 100644
index 00000000000000..c2c65d68199425
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_finance_future_amounts_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_finance_future_amounts_pipeline pipeline DistilBertForSequenceClassification from finsynth
+author: John Snow Labs
+name: distilbert_finance_future_amounts_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finance_future_amounts_pipeline` is a English model originally trained by finsynth.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finance_future_amounts_pipeline_en_5.5.0_3.0_1726365956985.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finance_future_amounts_pipeline_en_5.5.0_3.0_1726365956985.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_finance_future_amounts_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_finance_future_amounts_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finance_future_amounts_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/finsynth/distilbert-finance-future-amounts
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_finetuned_custom_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_finetuned_custom_en.md
new file mode 100644
index 00000000000000..3ff87e614a5ee6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_finetuned_custom_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_finetuned_custom DistilBertForQuestionAnswering from Naima12
+author: John Snow Labs
+name: distilbert_finetuned_custom
+date: 2024-09-15
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_custom` is a English model originally trained by Naima12.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_custom_en_5.5.0_3.0_1726435158440.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_custom_en_5.5.0_3.0_1726435158440.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_custom|
+|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/Naima12/distilbert-finetuned-custom
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_finetuned_custom_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_finetuned_custom_pipeline_en.md
new file mode 100644
index 00000000000000..05fd0f5751b216
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_finetuned_custom_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_finetuned_custom_pipeline pipeline DistilBertForQuestionAnswering from Naima12
+author: John Snow Labs
+name: distilbert_finetuned_custom_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_custom_pipeline` is a English model originally trained by Naima12.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_custom_pipeline_en_5.5.0_3.0_1726435170486.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_custom_pipeline_en_5.5.0_3.0_1726435170486.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_finetuned_custom_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_finetuned_custom_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_custom_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/Naima12/distilbert-finetuned-custom
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_finetuned_model_01_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_finetuned_model_01_en.md
new file mode 100644
index 00000000000000..ea5d5193ad35d3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_finetuned_model_01_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_finetuned_model_01 DistilBertForQuestionAnswering from Naima12
+author: John Snow Labs
+name: distilbert_finetuned_model_01
+date: 2024-09-15
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_model_01` is a English model originally trained by Naima12.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_model_01_en_5.5.0_3.0_1726435442393.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_model_01_en_5.5.0_3.0_1726435442393.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_model_01|
+|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/Naima12/distilbert-finetuned-Model_01
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_finetuned_model_01_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_finetuned_model_01_pipeline_en.md
new file mode 100644
index 00000000000000..a8f32cea2bd994
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_finetuned_model_01_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_finetuned_model_01_pipeline pipeline DistilBertForQuestionAnswering from Naima12
+author: John Snow Labs
+name: distilbert_finetuned_model_01_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_model_01_pipeline` is a English model originally trained by Naima12.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_model_01_pipeline_en_5.5.0_3.0_1726435454548.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_model_01_pipeline_en_5.5.0_3.0_1726435454548.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_finetuned_model_01_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_finetuned_model_01_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_model_01_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|243.8 MB|
+
+## References
+
+https://huggingface.co/Naima12/distilbert-finetuned-Model_01
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_finetuned_squadv2_mf212_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_finetuned_squadv2_mf212_en.md
new file mode 100644
index 00000000000000..340faa6c3c6d2b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_finetuned_squadv2_mf212_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_finetuned_squadv2_mf212 DistilBertForQuestionAnswering from mf212
+author: John Snow Labs
+name: distilbert_finetuned_squadv2_mf212
+date: 2024-09-15
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_squadv2_mf212` is a English model originally trained by mf212.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_squadv2_mf212_en_5.5.0_3.0_1726435452082.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_squadv2_mf212_en_5.5.0_3.0_1726435452082.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_mf212|
+|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/mf212/distilbert-finetuned-squadv2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_finetuned_squadv2_mf212_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_finetuned_squadv2_mf212_pipeline_en.md
new file mode 100644
index 00000000000000..feef919058d9ae
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_finetuned_squadv2_mf212_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_finetuned_squadv2_mf212_pipeline pipeline DistilBertForQuestionAnswering from mf212
+author: John Snow Labs
+name: distilbert_finetuned_squadv2_mf212_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_squadv2_mf212_pipeline` is a English model originally trained by mf212.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_squadv2_mf212_pipeline_en_5.5.0_3.0_1726435464342.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_squadv2_mf212_pipeline_en_5.5.0_3.0_1726435464342.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_finetuned_squadv2_mf212_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_finetuned_squadv2_mf212_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_squadv2_mf212_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/mf212/distilbert-finetuned-squadv2
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_finetuned_sqv2_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_finetuned_sqv2_en.md
new file mode 100644
index 00000000000000..aa175b1a9a9fdc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_finetuned_sqv2_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_finetuned_sqv2 DistilBertForQuestionAnswering from Huyisbeee
+author: John Snow Labs
+name: distilbert_finetuned_sqv2
+date: 2024-09-15
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_sqv2` is a English model originally trained by Huyisbeee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_sqv2_en_5.5.0_3.0_1726435033753.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_sqv2_en_5.5.0_3.0_1726435033753.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_sqv2|
+|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/Huyisbeee/distilbert-finetuned-sqv2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_sanskrit_saskta_glue_experiment_logit_kd_pretrain_stsb_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_sanskrit_saskta_glue_experiment_logit_kd_pretrain_stsb_pipeline_en.md
new file mode 100644
index 00000000000000..14697df9f05a9b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_sanskrit_saskta_glue_experiment_logit_kd_pretrain_stsb_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_sanskrit_saskta_glue_experiment_logit_kd_pretrain_stsb_pipeline pipeline DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_sanskrit_saskta_glue_experiment_logit_kd_pretrain_stsb_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sanskrit_saskta_glue_experiment_logit_kd_pretrain_stsb_pipeline` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_pretrain_stsb_pipeline_en_5.5.0_3.0_1726406213722.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_pretrain_stsb_pipeline_en_5.5.0_3.0_1726406213722.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_sanskrit_saskta_glue_experiment_logit_kd_pretrain_stsb_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_sanskrit_saskta_glue_experiment_logit_kd_pretrain_stsb_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_sanskrit_saskta_glue_experiment_logit_kd_pretrain_stsb_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_sa_GLUE_Experiment_logit_kd_pretrain_stsb
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilbert_scam_classifier_v1_2_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilbert_scam_classifier_v1_2_en.md
new file mode 100644
index 00000000000000..a6b221bedc6b5b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilbert_scam_classifier_v1_2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_scam_classifier_v1_2 DistilBertForSequenceClassification from BothBosu
+author: John Snow Labs
+name: distilbert_scam_classifier_v1_2
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_scam_classifier_v1_2` is a English model originally trained by BothBosu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_scam_classifier_v1_2_en_5.5.0_3.0_1726406550689.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_scam_classifier_v1_2_en_5.5.0_3.0_1726406550689.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_scam_classifier_v1_2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/BothBosu/distilbert-scam-classifier-v1.2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-distilroberta_base_mrpc_glue_yoel_c_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-distilroberta_base_mrpc_glue_yoel_c_pipeline_en.md
new file mode 100644
index 00000000000000..5de6e1ccb856e8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-distilroberta_base_mrpc_glue_yoel_c_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilroberta_base_mrpc_glue_yoel_c_pipeline pipeline RoBertaForSequenceClassification from YoelCanaza
+author: John Snow Labs
+name: distilroberta_base_mrpc_glue_yoel_c_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_mrpc_glue_yoel_c_pipeline` is a English model originally trained by YoelCanaza.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_mrpc_glue_yoel_c_pipeline_en_5.5.0_3.0_1726439158457.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_mrpc_glue_yoel_c_pipeline_en_5.5.0_3.0_1726439158457.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilroberta_base_mrpc_glue_yoel_c_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilroberta_base_mrpc_glue_yoel_c_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_mrpc_glue_yoel_c_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|308.6 MB|
+
+## References
+
+https://huggingface.co/YoelCanaza/distilroberta-base-mrpc-glue-yoel-c
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-dnabert_k07_w10_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-dnabert_k07_w10_pipeline_en.md
new file mode 100644
index 00000000000000..595ceffec54fa4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-dnabert_k07_w10_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dnabert_k07_w10_pipeline pipeline RoBertaEmbeddings from wjbmattingly
+author: John Snow Labs
+name: dnabert_k07_w10_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dnabert_k07_w10_pipeline` is a English model originally trained by wjbmattingly.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dnabert_k07_w10_pipeline_en_5.5.0_3.0_1726383263920.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dnabert_k07_w10_pipeline_en_5.5.0_3.0_1726383263920.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dnabert_k07_w10_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dnabert_k07_w10_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dnabert_k07_w10_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.9 MB|
+
+## References
+
+https://huggingface.co/wjbmattingly/dnaBERT-k07-w10
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-dopamin_java_deprecation_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-dopamin_java_deprecation_pipeline_en.md
new file mode 100644
index 00000000000000..370e848fd01a92
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-dopamin_java_deprecation_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dopamin_java_deprecation_pipeline pipeline RoBertaForSequenceClassification from Fsoft-AIC
+author: John Snow Labs
+name: dopamin_java_deprecation_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dopamin_java_deprecation_pipeline` is a English model originally trained by Fsoft-AIC.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dopamin_java_deprecation_pipeline_en_5.5.0_3.0_1726439180368.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dopamin_java_deprecation_pipeline_en_5.5.0_3.0_1726439180368.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dopamin_java_deprecation_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dopamin_java_deprecation_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dopamin_java_deprecation_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.4 MB|
+
+## References
+
+https://huggingface.co/Fsoft-AIC/dopamin-java-deprecation
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-efficient_mlm_m0_15_801010_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-efficient_mlm_m0_15_801010_pipeline_en.md
new file mode 100644
index 00000000000000..5eaca7e6e45acd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-efficient_mlm_m0_15_801010_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English efficient_mlm_m0_15_801010_pipeline pipeline RoBertaEmbeddings from princeton-nlp
+author: John Snow Labs
+name: efficient_mlm_m0_15_801010_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`efficient_mlm_m0_15_801010_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_15_801010_pipeline_en_5.5.0_3.0_1726413880895.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/efficient_mlm_m0_15_801010_pipeline_en_5.5.0_3.0_1726413880895.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("efficient_mlm_m0_15_801010_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("efficient_mlm_m0_15_801010_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|efficient_mlm_m0_15_801010_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|844.2 MB|
+
+## References
+
+https://huggingface.co/princeton-nlp/efficient_mlm_m0.15-801010
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-enron_distilbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-enron_distilbert_pipeline_en.md
new file mode 100644
index 00000000000000..da1b67414cbd5e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-enron_distilbert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English enron_distilbert_pipeline pipeline DistilBertForSequenceClassification from bvk
+author: John Snow Labs
+name: enron_distilbert_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`enron_distilbert_pipeline` is a English model originally trained by bvk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/enron_distilbert_pipeline_en_5.5.0_3.0_1726385313164.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/enron_distilbert_pipeline_en_5.5.0_3.0_1726385313164.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("enron_distilbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("enron_distilbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|enron_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/bvk/ENRON-distilbert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-fine_tuned_distilbert_isha31101999_en.md b/docs/_posts/ahmedlone127/2024-09-15-fine_tuned_distilbert_isha31101999_en.md
new file mode 100644
index 00000000000000..b9c9e25c5dc399
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-fine_tuned_distilbert_isha31101999_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English fine_tuned_distilbert_isha31101999 DistilBertForSequenceClassification from Isha31101999
+author: John Snow Labs
+name: fine_tuned_distilbert_isha31101999
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_distilbert_isha31101999` is a English model originally trained by Isha31101999.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_distilbert_isha31101999_en_5.5.0_3.0_1726394372338.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_distilbert_isha31101999_en_5.5.0_3.0_1726394372338.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tuned_distilbert_isha31101999|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Isha31101999/fine-tuned-distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-fine_tuned_distilbert_isha31101999_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-fine_tuned_distilbert_isha31101999_pipeline_en.md
new file mode 100644
index 00000000000000..287f993538211e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-fine_tuned_distilbert_isha31101999_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English fine_tuned_distilbert_isha31101999_pipeline pipeline DistilBertForSequenceClassification from Isha31101999
+author: John Snow Labs
+name: fine_tuned_distilbert_isha31101999_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_distilbert_isha31101999_pipeline` is a English model originally trained by Isha31101999.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_distilbert_isha31101999_pipeline_en_5.5.0_3.0_1726394384718.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_distilbert_isha31101999_pipeline_en_5.5.0_3.0_1726394384718.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fine_tuned_distilbert_isha31101999_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fine_tuned_distilbert_isha31101999_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tuned_distilbert_isha31101999_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Isha31101999/fine-tuned-distilbert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-finetuning_distilbert_sentiment_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-finetuning_distilbert_sentiment_v1_pipeline_en.md
new file mode 100644
index 00000000000000..175846f408db5e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-finetuning_distilbert_sentiment_v1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_distilbert_sentiment_v1_pipeline pipeline DistilBertForSequenceClassification from Aleksia
+author: John Snow Labs
+name: finetuning_distilbert_sentiment_v1_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_distilbert_sentiment_v1_pipeline` is a English model originally trained by Aleksia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_distilbert_sentiment_v1_pipeline_en_5.5.0_3.0_1726406392546.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_distilbert_sentiment_v1_pipeline_en_5.5.0_3.0_1726406392546.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuning_distilbert_sentiment_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_distilbert_sentiment_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_distilbert_sentiment_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Aleksia/finetuning-distilBert_sentiment_v1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-finetuning_sentiment_model_3000_samples_juliocrm_en.md b/docs/_posts/ahmedlone127/2024-09-15-finetuning_sentiment_model_3000_samples_juliocrm_en.md
new file mode 100644
index 00000000000000..aa243dc2a47427
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-finetuning_sentiment_model_3000_samples_juliocrm_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_juliocrm DistilBertForSequenceClassification from Juliocrm
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_juliocrm
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_juliocrm` is a English model originally trained by Juliocrm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_juliocrm_en_5.5.0_3.0_1726406469868.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_juliocrm_en_5.5.0_3.0_1726406469868.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_juliocrm|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Juliocrm/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-finetuning_sentiment_model_3000_samples_klumdedum_en.md b/docs/_posts/ahmedlone127/2024-09-15-finetuning_sentiment_model_3000_samples_klumdedum_en.md
new file mode 100644
index 00000000000000..bd461aa3f4967c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-finetuning_sentiment_model_3000_samples_klumdedum_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_klumdedum DistilBertForSequenceClassification from klumdedum
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_klumdedum
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_klumdedum` is a English model originally trained by klumdedum.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_klumdedum_en_5.5.0_3.0_1726394199274.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_klumdedum_en_5.5.0_3.0_1726394199274.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_klumdedum|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/klumdedum/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-finetuning_sentiment_model_3000_samples_klumdedum_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-finetuning_sentiment_model_3000_samples_klumdedum_pipeline_en.md
new file mode 100644
index 00000000000000..5f1d74004281b4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-finetuning_sentiment_model_3000_samples_klumdedum_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_klumdedum_pipeline pipeline DistilBertForSequenceClassification from klumdedum
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_klumdedum_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_klumdedum_pipeline` is a English model originally trained by klumdedum.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_klumdedum_pipeline_en_5.5.0_3.0_1726394211670.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_klumdedum_pipeline_en_5.5.0_3.0_1726394211670.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_klumdedum_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_klumdedum_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_klumdedum_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/klumdedum/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-finetuning_sentiment_model_3000_samples_vipuljain_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-finetuning_sentiment_model_3000_samples_vipuljain_pipeline_en.md
new file mode 100644
index 00000000000000..cd9799f08e5131
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-finetuning_sentiment_model_3000_samples_vipuljain_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_vipuljain_pipeline pipeline DistilBertForSequenceClassification from vipuljain
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_vipuljain_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_vipuljain_pipeline` is a English model originally trained by vipuljain.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_vipuljain_pipeline_en_5.5.0_3.0_1726366211036.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_vipuljain_pipeline_en_5.5.0_3.0_1726366211036.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_vipuljain_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuning_sentiment_model_3000_samples_vipuljain_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuning_sentiment_model_3000_samples_vipuljain_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/vipuljain/finetuning-sentiment-model-3000-samples
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-formalberta2_en.md b/docs/_posts/ahmedlone127/2024-09-15-formalberta2_en.md
new file mode 100644
index 00000000000000..26e46513747695
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-formalberta2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English formalberta2 RoBertaEmbeddings from BigSalmon
+author: John Snow Labs
+name: formalberta2
+date: 2024-09-15
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`formalberta2` is a English model originally trained by BigSalmon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/formalberta2_en_5.5.0_3.0_1726383400733.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/formalberta2_en_5.5.0_3.0_1726383400733.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|formalberta2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|466.3 MB|
+
+## References
+
+https://huggingface.co/BigSalmon/FormalBerta2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-furina_seed42_eng_amh_hau_cross_latin_2e_05_en.md b/docs/_posts/ahmedlone127/2024-09-15-furina_seed42_eng_amh_hau_cross_latin_2e_05_en.md
new file mode 100644
index 00000000000000..da30fd39c03954
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-furina_seed42_eng_amh_hau_cross_latin_2e_05_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English furina_seed42_eng_amh_hau_cross_latin_2e_05 XlmRoBertaForSequenceClassification from Shijia
+author: John Snow Labs
+name: furina_seed42_eng_amh_hau_cross_latin_2e_05
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`furina_seed42_eng_amh_hau_cross_latin_2e_05` is a English model originally trained by Shijia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/furina_seed42_eng_amh_hau_cross_latin_2e_05_en_5.5.0_3.0_1726373328243.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/furina_seed42_eng_amh_hau_cross_latin_2e_05_en_5.5.0_3.0_1726373328243.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|furina_seed42_eng_amh_hau_cross_latin_2e_05|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.5 GB|
+
+## References
+
+https://huggingface.co/Shijia/furina_seed42_eng_amh_hau_cross_latin_2e-05
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-furina_seed42_eng_kinyarwanda_amh_cross_0_0001_en.md b/docs/_posts/ahmedlone127/2024-09-15-furina_seed42_eng_kinyarwanda_amh_cross_0_0001_en.md
new file mode 100644
index 00000000000000..accef423f011fa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-furina_seed42_eng_kinyarwanda_amh_cross_0_0001_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English furina_seed42_eng_kinyarwanda_amh_cross_0_0001 XlmRoBertaForSequenceClassification from Shijia
+author: John Snow Labs
+name: furina_seed42_eng_kinyarwanda_amh_cross_0_0001
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`furina_seed42_eng_kinyarwanda_amh_cross_0_0001` is a English model originally trained by Shijia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/furina_seed42_eng_kinyarwanda_amh_cross_0_0001_en_5.5.0_3.0_1726434142869.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/furina_seed42_eng_kinyarwanda_amh_cross_0_0001_en_5.5.0_3.0_1726434142869.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|furina_seed42_eng_kinyarwanda_amh_cross_0_0001|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.5 GB|
+
+## References
+
+https://huggingface.co/Shijia/furina_seed42_eng_kin_amh_cross_0.0001
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-gena_lm_bert_large_t2t_ft_hepg2_1kbphg19_dhss_h3k27ac_en.md b/docs/_posts/ahmedlone127/2024-09-15-gena_lm_bert_large_t2t_ft_hepg2_1kbphg19_dhss_h3k27ac_en.md
new file mode 100644
index 00000000000000..a1f0d89268fee4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-gena_lm_bert_large_t2t_ft_hepg2_1kbphg19_dhss_h3k27ac_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English gena_lm_bert_large_t2t_ft_hepg2_1kbphg19_dhss_h3k27ac BertForSequenceClassification from tanoManzo
+author: John Snow Labs
+name: gena_lm_bert_large_t2t_ft_hepg2_1kbphg19_dhss_h3k27ac
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`gena_lm_bert_large_t2t_ft_hepg2_1kbphg19_dhss_h3k27ac` is a English model originally trained by tanoManzo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gena_lm_bert_large_t2t_ft_hepg2_1kbphg19_dhss_h3k27ac_en_5.5.0_3.0_1726379091815.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gena_lm_bert_large_t2t_ft_hepg2_1kbphg19_dhss_h3k27ac_en_5.5.0_3.0_1726379091815.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gena_lm_bert_large_t2t_ft_hepg2_1kbphg19_dhss_h3k27ac|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tanoManzo/gena-lm-bert-large-t2t_ft_Hepg2_1kbpHG19_DHSs_H3K27AC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-gena_lm_bert_large_t2t_ft_hepg2_1kbphg19_dhss_h3k27ac_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-gena_lm_bert_large_t2t_ft_hepg2_1kbphg19_dhss_h3k27ac_pipeline_en.md
new file mode 100644
index 00000000000000..dee3a91e6616aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-gena_lm_bert_large_t2t_ft_hepg2_1kbphg19_dhss_h3k27ac_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English gena_lm_bert_large_t2t_ft_hepg2_1kbphg19_dhss_h3k27ac_pipeline pipeline BertForSequenceClassification from tanoManzo
+author: John Snow Labs
+name: gena_lm_bert_large_t2t_ft_hepg2_1kbphg19_dhss_h3k27ac_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`gena_lm_bert_large_t2t_ft_hepg2_1kbphg19_dhss_h3k27ac_pipeline` is a English model originally trained by tanoManzo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gena_lm_bert_large_t2t_ft_hepg2_1kbphg19_dhss_h3k27ac_pipeline_en_5.5.0_3.0_1726379146744.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gena_lm_bert_large_t2t_ft_hepg2_1kbphg19_dhss_h3k27ac_pipeline_en_5.5.0_3.0_1726379146744.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("gena_lm_bert_large_t2t_ft_hepg2_1kbphg19_dhss_h3k27ac_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("gena_lm_bert_large_t2t_ft_hepg2_1kbphg19_dhss_h3k27ac_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gena_lm_bert_large_t2t_ft_hepg2_1kbphg19_dhss_h3k27ac_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/tanoManzo/gena-lm-bert-large-t2t_ft_Hepg2_1kbpHG19_DHSs_H3K27AC
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-geocoder_coordinates_model_en.md b/docs/_posts/ahmedlone127/2024-09-15-geocoder_coordinates_model_en.md
new file mode 100644
index 00000000000000..6663c89b4b4c4f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-geocoder_coordinates_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English geocoder_coordinates_model XlmRoBertaForSequenceClassification from azamat
+author: John Snow Labs
+name: geocoder_coordinates_model
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`geocoder_coordinates_model` is a English model originally trained by azamat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/geocoder_coordinates_model_en_5.5.0_3.0_1726373211506.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/geocoder_coordinates_model_en_5.5.0_3.0_1726373211506.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|geocoder_coordinates_model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|886.3 MB|
+
+## References
+
+https://huggingface.co/azamat/geocoder_coordinates_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-grammar_classifier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-grammar_classifier_pipeline_en.md
new file mode 100644
index 00000000000000..b8654388fcac04
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-grammar_classifier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English grammar_classifier_pipeline pipeline DistilBertForSequenceClassification from gratkadlafana
+author: John Snow Labs
+name: grammar_classifier_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`grammar_classifier_pipeline` is a English model originally trained by gratkadlafana.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/grammar_classifier_pipeline_en_5.5.0_3.0_1726385600967.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/grammar_classifier_pipeline_en_5.5.0_3.0_1726385600967.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("grammar_classifier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("grammar_classifier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|grammar_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/gratkadlafana/grammar_classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-graphcodebert_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-graphcodebert_v1_pipeline_en.md
new file mode 100644
index 00000000000000..12ffae6affacf6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-graphcodebert_v1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English graphcodebert_v1_pipeline pipeline RoBertaEmbeddings from Ensheng
+author: John Snow Labs
+name: graphcodebert_v1_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`graphcodebert_v1_pipeline` is a English model originally trained by Ensheng.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/graphcodebert_v1_pipeline_en_5.5.0_3.0_1726383815070.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/graphcodebert_v1_pipeline_en_5.5.0_3.0_1726383815070.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("graphcodebert_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("graphcodebert_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|graphcodebert_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|465.9 MB|
+
+## References
+
+https://huggingface.co/Ensheng/graphcodebert-v1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-hamsa_tiny_v0_8_en.md b/docs/_posts/ahmedlone127/2024-09-15-hamsa_tiny_v0_8_en.md
new file mode 100644
index 00000000000000..49a178e714fd51
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-hamsa_tiny_v0_8_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English hamsa_tiny_v0_8 WhisperForCTC from Ahmed107
+author: John Snow Labs
+name: hamsa_tiny_v0_8
+date: 2024-09-15
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hamsa_tiny_v0_8` is a English model originally trained by Ahmed107.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hamsa_tiny_v0_8_en_5.5.0_3.0_1726427589748.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hamsa_tiny_v0_8_en_5.5.0_3.0_1726427589748.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hamsa_tiny_v0_8|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|389.5 MB|
+
+## References
+
+https://huggingface.co/Ahmed107/hamsa-tiny-v0.8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-hate_hate_balance_random1_seed1_bernice_en.md b/docs/_posts/ahmedlone127/2024-09-15-hate_hate_balance_random1_seed1_bernice_en.md
new file mode 100644
index 00000000000000..b183408a2a8b8b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-hate_hate_balance_random1_seed1_bernice_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English hate_hate_balance_random1_seed1_bernice XlmRoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: hate_hate_balance_random1_seed1_bernice
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_hate_balance_random1_seed1_bernice` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_hate_balance_random1_seed1_bernice_en_5.5.0_3.0_1726374228987.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_hate_balance_random1_seed1_bernice_en_5.5.0_3.0_1726374228987.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_hate_balance_random1_seed1_bernice|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|783.4 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/hate-hate_balance_random1_seed1-bernice
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-hatespeech_distilbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-hatespeech_distilbert_pipeline_en.md
new file mode 100644
index 00000000000000..287eda8edd89aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-hatespeech_distilbert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English hatespeech_distilbert_pipeline pipeline DistilBertForSequenceClassification from DL-Project
+author: John Snow Labs
+name: hatespeech_distilbert_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hatespeech_distilbert_pipeline` is a English model originally trained by DL-Project.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hatespeech_distilbert_pipeline_en_5.5.0_3.0_1726366300008.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hatespeech_distilbert_pipeline_en_5.5.0_3.0_1726366300008.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hatespeech_distilbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hatespeech_distilbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hatespeech_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/DL-Project/hatespeech_distilbert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-hodravidianlangtech_en.md b/docs/_posts/ahmedlone127/2024-09-15-hodravidianlangtech_en.md
new file mode 100644
index 00000000000000..3d6af26f634c16
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-hodravidianlangtech_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English hodravidianlangtech XlmRoBertaForSequenceClassification from Udoy
+author: John Snow Labs
+name: hodravidianlangtech
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hodravidianlangtech` is a English model originally trained by Udoy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hodravidianlangtech_en_5.5.0_3.0_1726440831561.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hodravidianlangtech_en_5.5.0_3.0_1726440831561.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hybrid_qa|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|248.0 MB|
+
+## References
+
+https://huggingface.co/justinhl/hybrid-qa
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-ift6758_devoir_6_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-ift6758_devoir_6_pipeline_en.md
new file mode 100644
index 00000000000000..a1c42d7b824f63
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-ift6758_devoir_6_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ift6758_devoir_6_pipeline pipeline DistilBertForSequenceClassification from iggy1055
+author: John Snow Labs
+name: ift6758_devoir_6_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ift6758_devoir_6_pipeline` is a English model originally trained by iggy1055.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ift6758_devoir_6_pipeline_en_5.5.0_3.0_1726406669178.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ift6758_devoir_6_pipeline_en_5.5.0_3.0_1726406669178.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ift6758_devoir_6_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ift6758_devoir_6_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ift6758_devoir_6_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/iggy1055/ift6758_devoir_6
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-imdb_text_classifier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-imdb_text_classifier_pipeline_en.md
new file mode 100644
index 00000000000000..e02b6244ffd295
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-imdb_text_classifier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English imdb_text_classifier_pipeline pipeline DistilBertForSequenceClassification from LukeGPT88
+author: John Snow Labs
+name: imdb_text_classifier_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdb_text_classifier_pipeline` is a English model originally trained by LukeGPT88.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdb_text_classifier_pipeline_en_5.5.0_3.0_1726385131160.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdb_text_classifier_pipeline_en_5.5.0_3.0_1726385131160.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("imdb_text_classifier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("imdb_text_classifier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|imdb_text_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/LukeGPT88/imdb_text_classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-intent_classification_small_en.md b/docs/_posts/ahmedlone127/2024-09-15-intent_classification_small_en.md
new file mode 100644
index 00000000000000..c12227a1c1679c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-intent_classification_small_en.md
@@ -0,0 +1,98 @@
+---
+layout: model
+title: English intent_classification_small DistilBertForSequenceClassification from dipesh
+author: John Snow Labs
+name: intent_classification_small
+date: 2024-09-15
+tags: [bert, en, open_source, sequence_classification, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`intent_classification_small` is a English model originally trained by dipesh.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/intent_classification_small_en_5.5.0_3.0_1726385197886.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/intent_classification_small_en_5.5.0_3.0_1726385197886.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|large_np_nw_all|
+|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/roviso/large-np-nw-all
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-malayalam_anomaly_en.md b/docs/_posts/ahmedlone127/2024-09-15-malayalam_anomaly_en.md
new file mode 100644
index 00000000000000..41ffa3834535db
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-malayalam_anomaly_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English malayalam_anomaly DistilBertForSequenceClassification from rn7s2
+author: John Snow Labs
+name: malayalam_anomaly
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`malayalam_anomaly` is a English model originally trained by rn7s2.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/malayalam_anomaly_en_5.5.0_3.0_1726366496738.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/malayalam_anomaly_en_5.5.0_3.0_1726366496738.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|malayalam_anomaly|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/rn7s2/ml_anomaly
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-mini_text_classification_finetune_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-mini_text_classification_finetune_model_pipeline_en.md
new file mode 100644
index 00000000000000..af71aefdafb4de
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-mini_text_classification_finetune_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English mini_text_classification_finetune_model_pipeline pipeline XlmRoBertaForSequenceClassification from mankra
+author: John Snow Labs
+name: mini_text_classification_finetune_model_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mini_text_classification_finetune_model_pipeline` is a English model originally trained by mankra.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mini_text_classification_finetune_model_pipeline_en_5.5.0_3.0_1726373104954.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mini_text_classification_finetune_model_pipeline_en_5.5.0_3.0_1726373104954.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mini_text_classification_finetune_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mini_text_classification_finetune_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mini_text_classification_finetune_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|333.7 MB|
+
+## References
+
+https://huggingface.co/mankra/mini_text_classification_finetune_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-model4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-model4_pipeline_en.md
new file mode 100644
index 00000000000000..54049b7a7076cd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-model4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English model4_pipeline pipeline DistilBertForSequenceClassification from jfunk14
+author: John Snow Labs
+name: model4_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`model4_pipeline` is a English model originally trained by jfunk14.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model4_pipeline_en_5.5.0_3.0_1726385541935.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model4_pipeline_en_5.5.0_3.0_1726385541935.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("model4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("model4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|model4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|250.1 MB|
+
+## References
+
+https://huggingface.co/jfunk14/model4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-model_parallelism_en.md b/docs/_posts/ahmedlone127/2024-09-15-model_parallelism_en.md
new file mode 100644
index 00000000000000..a23da9681246bc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-model_parallelism_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English model_parallelism XlmRoBertaForSequenceClassification from Grigory1
+author: John Snow Labs
+name: model_parallelism
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`model_parallelism` is a English model originally trained by Grigory1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/model_parallelism_en_5.5.0_3.0_1726433662859.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/model_parallelism_en_5.5.0_3.0_1726433662859.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|model_parallelism|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|911.9 MB|
+
+## References
+
+https://huggingface.co/Grigory1/model_parallelism
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-models_mil00_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-models_mil00_pipeline_en.md
new file mode 100644
index 00000000000000..28278101fb008d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-models_mil00_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English models_mil00_pipeline pipeline DistilBertForSequenceClassification from Mil00
+author: John Snow Labs
+name: models_mil00_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`models_mil00_pipeline` is a English model originally trained by Mil00.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/models_mil00_pipeline_en_5.5.0_3.0_1726393786262.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/models_mil00_pipeline_en_5.5.0_3.0_1726393786262.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("models_mil00_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("models_mil00_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|models_mil00_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|250.2 MB|
+
+## References
+
+https://huggingface.co/Mil00/Models
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-output_mask_two_steps_pretraining_plus_contr_roberta_large_epochs_1_en.md b/docs/_posts/ahmedlone127/2024-09-15-output_mask_two_steps_pretraining_plus_contr_roberta_large_epochs_1_en.md
new file mode 100644
index 00000000000000..285ed4c015dc70
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-output_mask_two_steps_pretraining_plus_contr_roberta_large_epochs_1_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English output_mask_two_steps_pretraining_plus_contr_roberta_large_epochs_1 RoBertaForQuestionAnswering from AnonymousSub
+author: John Snow Labs
+name: output_mask_two_steps_pretraining_plus_contr_roberta_large_epochs_1
+date: 2024-09-15
+tags: [en, open_source, onnx, question_answering, roberta]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`output_mask_two_steps_pretraining_plus_contr_roberta_large_epochs_1` is a English model originally trained by AnonymousSub.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/output_mask_two_steps_pretraining_plus_contr_roberta_large_epochs_1_en_5.5.0_3.0_1726369147559.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/output_mask_two_steps_pretraining_plus_contr_roberta_large_epochs_1_en_5.5.0_3.0_1726369147559.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_two_steps_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_TWO_STEPS_pretraining_plus_contr_roberta-large_EPOCHS_1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-phraseberta_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-phraseberta_pipeline_en.md
new file mode 100644
index 00000000000000..52451cb1dd69ef
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-phraseberta_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English phraseberta_pipeline pipeline RoBertaEmbeddings from BigSalmon
+author: John Snow Labs
+name: phraseberta_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`phraseberta_pipeline` is a English model originally trained by BigSalmon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/phraseberta_pipeline_en_5.5.0_3.0_1726413992869.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/phraseberta_pipeline_en_5.5.0_3.0_1726413992869.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("phraseberta_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("phraseberta_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|phraseberta_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|306.8 MB|
+
+## References
+
+https://huggingface.co/BigSalmon/PhraseBerta
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-platzi_distilroberta_base_mrpc_glue_andres_rojas_en.md b/docs/_posts/ahmedlone127/2024-09-15-platzi_distilroberta_base_mrpc_glue_andres_rojas_en.md
new file mode 100644
index 00000000000000..a33d827e1e1d0b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-platzi_distilroberta_base_mrpc_glue_andres_rojas_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English platzi_distilroberta_base_mrpc_glue_andres_rojas RoBertaForSequenceClassification from ulichovick
+author: John Snow Labs
+name: platzi_distilroberta_base_mrpc_glue_andres_rojas
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`platzi_distilroberta_base_mrpc_glue_andres_rojas` is a English model originally trained by ulichovick.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/platzi_distilroberta_base_mrpc_glue_andres_rojas_en_5.5.0_3.0_1726440059777.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/platzi_distilroberta_base_mrpc_glue_andres_rojas_en_5.5.0_3.0_1726440059777.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_andres_rojas|
+|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/ulichovick/platzi-distilroberta-base-mrpc-glue-Andres-Rojas
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-portuguese_up_xlmr_falsefalse_0_0_best_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-portuguese_up_xlmr_falsefalse_0_0_best_pipeline_en.md
new file mode 100644
index 00000000000000..57043d22a13886
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-portuguese_up_xlmr_falsefalse_0_0_best_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English portuguese_up_xlmr_falsefalse_0_0_best_pipeline pipeline XlmRoBertaForSequenceClassification from harish
+author: John Snow Labs
+name: portuguese_up_xlmr_falsefalse_0_0_best_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`portuguese_up_xlmr_falsefalse_0_0_best_pipeline` is a English model originally trained by harish.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/portuguese_up_xlmr_falsefalse_0_0_best_pipeline_en_5.5.0_3.0_1726434690005.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/portuguese_up_xlmr_falsefalse_0_0_best_pipeline_en_5.5.0_3.0_1726434690005.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("portuguese_up_xlmr_falsefalse_0_0_best_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("portuguese_up_xlmr_falsefalse_0_0_best_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|portuguese_up_xlmr_falsefalse_0_0_best_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|782.4 MB|
+
+## References
+
+https://huggingface.co/harish/PT-UP-xlmR-FalseFalse-0_0_BEST
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-ratingbook_en.md b/docs/_posts/ahmedlone127/2024-09-15-ratingbook_en.md
new file mode 100644
index 00000000000000..8d8f8d94058a15
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-ratingbook_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ratingbook DistilBertForSequenceClassification from DragonImortal
+author: John Snow Labs
+name: ratingbook
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ratingbook` is a English model originally trained by DragonImortal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ratingbook_en_5.5.0_3.0_1726394095682.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ratingbook_en_5.5.0_3.0_1726394095682.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_squad_nmb_paperspace_hf|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|298.4 MB|
+
+## References
+
+https://huggingface.co/nmb-paperspace-hf/roberta-base-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-roberta_base_lora_591k_squad_model1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-roberta_base_lora_591k_squad_model1_pipeline_en.md
new file mode 100644
index 00000000000000..3a44d0344bf291
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-roberta_base_lora_591k_squad_model1_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_base_lora_591k_squad_model1_pipeline pipeline RoBertaForQuestionAnswering from varun-v-rao
+author: John Snow Labs
+name: roberta_base_lora_591k_squad_model1_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_lora_591k_squad_model1_pipeline` is a English model originally trained by varun-v-rao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_lora_591k_squad_model1_pipeline_en_5.5.0_3.0_1726379810102.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_lora_591k_squad_model1_pipeline_en_5.5.0_3.0_1726379810102.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_lora_591k_squad_model1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_lora_591k_squad_model1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_lora_591k_squad_model1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|317.4 MB|
+
+## References
+
+https://huggingface.co/varun-v-rao/roberta-base-lora-591K-squad-model1
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-roberta_base_squad2_finetuned_squad_ahujaniharika95_en.md b/docs/_posts/ahmedlone127/2024-09-15-roberta_base_squad2_finetuned_squad_ahujaniharika95_en.md
new file mode 100644
index 00000000000000..03ce4e9f75b45e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-roberta_base_squad2_finetuned_squad_ahujaniharika95_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English roberta_base_squad2_finetuned_squad_ahujaniharika95 RoBertaForQuestionAnswering from ahujaniharika95
+author: John Snow Labs
+name: roberta_base_squad2_finetuned_squad_ahujaniharika95
+date: 2024-09-15
+tags: [en, open_source, onnx, question_answering, roberta]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_squad2_finetuned_squad_ahujaniharika95` is a English model originally trained by ahujaniharika95.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_squad2_finetuned_squad_ahujaniharika95_en_5.5.0_3.0_1726379593456.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_squad2_finetuned_squad_ahujaniharika95_en_5.5.0_3.0_1726379593456.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_finetuned_squad_ahujaniharika95|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|464.3 MB|
+
+## References
+
+https://huggingface.co/ahujaniharika95/roberta-base-squad2-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-roberta_base_wikimovies_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-roberta_base_wikimovies_pipeline_en.md
new file mode 100644
index 00000000000000..4469a021b53e25
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-roberta_base_wikimovies_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_wikimovies_pipeline pipeline RoBertaEmbeddings from thatdramebaazguy
+author: John Snow Labs
+name: roberta_base_wikimovies_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_wikimovies_pipeline` is a English model originally trained by thatdramebaazguy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_wikimovies_pipeline_en_5.5.0_3.0_1726414105024.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_wikimovies_pipeline_en_5.5.0_3.0_1726414105024.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_wikimovies_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_wikimovies_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_wikimovies_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.4 MB|
+
+## References
+
+https://huggingface.co/thatdramebaazguy/roberta-base-wikimovies
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-roberta_finetuned_subjqa_movies_2_vmg1957_en.md b/docs/_posts/ahmedlone127/2024-09-15-roberta_finetuned_subjqa_movies_2_vmg1957_en.md
new file mode 100644
index 00000000000000..bb1c8ac6465fdd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-roberta_finetuned_subjqa_movies_2_vmg1957_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English roberta_finetuned_subjqa_movies_2_vmg1957 RoBertaForQuestionAnswering from vmg1957
+author: John Snow Labs
+name: roberta_finetuned_subjqa_movies_2_vmg1957
+date: 2024-09-15
+tags: [en, open_source, onnx, question_answering, roberta]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_finetuned_subjqa_movies_2_vmg1957` is a English model originally trained by vmg1957.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_subjqa_movies_2_vmg1957_en_5.5.0_3.0_1726404321540.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_subjqa_movies_2_vmg1957_en_5.5.0_3.0_1726404321540.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_movies_2_vmg1957|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|464.1 MB|
+
+## References
+
+https://huggingface.co/vmg1957/roberta-finetuned-subjqa-movies_2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-roberta_finetuned_subjqa_movies_2_vmg1957_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-roberta_finetuned_subjqa_movies_2_vmg1957_pipeline_en.md
new file mode 100644
index 00000000000000..a7564a5501577a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-roberta_finetuned_subjqa_movies_2_vmg1957_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_finetuned_subjqa_movies_2_vmg1957_pipeline pipeline RoBertaForQuestionAnswering from vmg1957
+author: John Snow Labs
+name: roberta_finetuned_subjqa_movies_2_vmg1957_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_finetuned_subjqa_movies_2_vmg1957_pipeline` is a English model originally trained by vmg1957.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_subjqa_movies_2_vmg1957_pipeline_en_5.5.0_3.0_1726404343940.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_subjqa_movies_2_vmg1957_pipeline_en_5.5.0_3.0_1726404343940.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_vmg1957_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_finetuned_subjqa_movies_2_vmg1957_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_finetuned_subjqa_movies_2_vmg1957_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|464.1 MB|
+
+## References
+
+https://huggingface.co/vmg1957/roberta-finetuned-subjqa-movies_2
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-roberta_finetuned_subjqa_restaurants_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-roberta_finetuned_subjqa_restaurants_2_pipeline_en.md
new file mode 100644
index 00000000000000..996f781fd1c5fc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-roberta_finetuned_subjqa_restaurants_2_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_finetuned_subjqa_restaurants_2_pipeline pipeline RoBertaForQuestionAnswering from velikiy
+author: John Snow Labs
+name: roberta_finetuned_subjqa_restaurants_2_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_finetuned_subjqa_restaurants_2_pipeline` is a English model originally trained by velikiy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_subjqa_restaurants_2_pipeline_en_5.5.0_3.0_1726364226972.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_subjqa_restaurants_2_pipeline_en_5.5.0_3.0_1726364226972.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_finetuned_subjqa_restaurants_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_finetuned_subjqa_restaurants_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_finetuned_subjqa_restaurants_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|463.8 MB|
+
+## References
+
+https://huggingface.co/velikiy/roberta-finetuned-subjqa-restaurants_2
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-roberta_large_bne_sqac_finetuned_squad_en.md b/docs/_posts/ahmedlone127/2024-09-15-roberta_large_bne_sqac_finetuned_squad_en.md
new file mode 100644
index 00000000000000..4147f301ea3d13
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-roberta_large_bne_sqac_finetuned_squad_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English roberta_large_bne_sqac_finetuned_squad RoBertaForQuestionAnswering from osuna
+author: John Snow Labs
+name: roberta_large_bne_sqac_finetuned_squad
+date: 2024-09-15
+tags: [en, open_source, onnx, question_answering, roberta]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_bne_sqac_finetuned_squad` is a English model originally trained by osuna.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_bne_sqac_finetuned_squad_en_5.5.0_3.0_1726404395568.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_bne_sqac_finetuned_squad_en_5.5.0_3.0_1726404395568.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_bne_sqac_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:|1.3 GB|
+
+## References
+
+https://huggingface.co/osuna/roberta-large-bne-sqac-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-roberta_large_few_shot_k_16_finetuned_squad_seed_4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-roberta_large_few_shot_k_16_finetuned_squad_seed_4_pipeline_en.md
new file mode 100644
index 00000000000000..d3cf1327a018e2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-roberta_large_few_shot_k_16_finetuned_squad_seed_4_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_large_few_shot_k_16_finetuned_squad_seed_4_pipeline pipeline RoBertaForQuestionAnswering from anas-awadalla
+author: John Snow Labs
+name: roberta_large_few_shot_k_16_finetuned_squad_seed_4_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_few_shot_k_16_finetuned_squad_seed_4_pipeline` 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_16_finetuned_squad_seed_4_pipeline_en_5.5.0_3.0_1726369175675.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_few_shot_k_16_finetuned_squad_seed_4_pipeline_en_5.5.0_3.0_1726369175675.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_few_shot_k_16_finetuned_squad_seed_4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_few_shot_k_16_finetuned_squad_seed_4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_few_shot_k_16_finetuned_squad_seed_4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/anas-awadalla/roberta-large-few-shot-k-16-finetuned-squad-seed-4
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-roberta_large_finetuned_mrpc_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-roberta_large_finetuned_mrpc_pipeline_en.md
new file mode 100644
index 00000000000000..d5ebb2304618c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-roberta_large_finetuned_mrpc_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_large_finetuned_mrpc_pipeline pipeline RoBertaForSequenceClassification from VitaliiVrublevskyi
+author: John Snow Labs
+name: roberta_large_finetuned_mrpc_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_finetuned_mrpc_pipeline` is a English model originally trained by VitaliiVrublevskyi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_mrpc_pipeline_en_5.5.0_3.0_1726401748447.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_mrpc_pipeline_en_5.5.0_3.0_1726401748447.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_finetuned_mrpc_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_finetuned_mrpc_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_finetuned_mrpc_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/VitaliiVrublevskyi/roberta-large-finetuned-mrpc
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-roberta_large_finetuned_squad_lahen_en.md b/docs/_posts/ahmedlone127/2024-09-15-roberta_large_finetuned_squad_lahen_en.md
new file mode 100644
index 00000000000000..919055cbcf96e0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-roberta_large_finetuned_squad_lahen_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English roberta_large_finetuned_squad_lahen RoBertaForQuestionAnswering from Lahen
+author: John Snow Labs
+name: roberta_large_finetuned_squad_lahen
+date: 2024-09-15
+tags: [en, open_source, onnx, question_answering, roberta]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_finetuned_squad_lahen` is a English model originally trained by Lahen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_squad_lahen_en_5.5.0_3.0_1726404643442.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_squad_lahen_en_5.5.0_3.0_1726404643442.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_finetuned_squad_lahen|
+|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/Lahen/roberta-large-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-roberta_large_itpt_fp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-roberta_large_itpt_fp_pipeline_en.md
new file mode 100644
index 00000000000000..f395c766526940
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-roberta_large_itpt_fp_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_large_itpt_fp_pipeline pipeline RoBertaEmbeddings from geninhu
+author: John Snow Labs
+name: roberta_large_itpt_fp_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_itpt_fp_pipeline` is a English model originally trained by geninhu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_itpt_fp_pipeline_en_5.5.0_3.0_1726413850609.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_itpt_fp_pipeline_en_5.5.0_3.0_1726413850609.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_itpt_fp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_itpt_fp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_itpt_fp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/geninhu/roberta_large_ITPT_FP
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-roberta_spanish_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-roberta_spanish_v2_pipeline_en.md
new file mode 100644
index 00000000000000..5f25952525de35
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-roberta_spanish_v2_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_spanish_v2_pipeline pipeline RoBertaForQuestionAnswering from enriquesaou
+author: John Snow Labs
+name: roberta_spanish_v2_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_spanish_v2_pipeline` is a English model originally trained by enriquesaou.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_spanish_v2_pipeline_en_5.5.0_3.0_1726364064348.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_spanish_v2_pipeline_en_5.5.0_3.0_1726364064348.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_spanish_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_spanish_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_spanish_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|436.5 MB|
+
+## References
+
+https://huggingface.co/enriquesaou/roberta_es_v2
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-roberta_tuned_trial_13_13_2022_en.md b/docs/_posts/ahmedlone127/2024-09-15-roberta_tuned_trial_13_13_2022_en.md
new file mode 100644
index 00000000000000..bd3418b5698615
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-roberta_tuned_trial_13_13_2022_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_tuned_trial_13_13_2022 RoBertaEmbeddings from EslamAhmed
+author: John Snow Labs
+name: roberta_tuned_trial_13_13_2022
+date: 2024-09-15
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_tuned_trial_13_13_2022` is a English model originally trained by EslamAhmed.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_tuned_trial_13_13_2022_en_5.5.0_3.0_1726383317555.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_tuned_trial_13_13_2022_en_5.5.0_3.0_1726383317555.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_tuned_trial_13_13_2022|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|464.1 MB|
+
+## References
+
+https://huggingface.co/EslamAhmed/roberta_tuned_trial_13-13-2022
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-rubert_tiny_review_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-rubert_tiny_review_pipeline_en.md
new file mode 100644
index 00000000000000..bc1a134e25164f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-rubert_tiny_review_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English rubert_tiny_review_pipeline pipeline BertForSequenceClassification from igorktech
+author: John Snow Labs
+name: rubert_tiny_review_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rubert_tiny_review_pipeline` is a English model originally trained by igorktech.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rubert_tiny_review_pipeline_en_5.5.0_3.0_1726378207628.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rubert_tiny_review_pipeline_en_5.5.0_3.0_1726378207628.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("rubert_tiny_review_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("rubert_tiny_review_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rubert_tiny_review_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|44.2 MB|
+
+## References
+
+https://huggingface.co/igorktech/rubert-tiny-review
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-ruberttiny_attr_en.md b/docs/_posts/ahmedlone127/2024-09-15-ruberttiny_attr_en.md
new file mode 100644
index 00000000000000..91d5ed081fee90
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-ruberttiny_attr_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ruberttiny_attr BertForSequenceClassification from Shakhovak
+author: John Snow Labs
+name: ruberttiny_attr
+date: 2024-09-15
+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.`ruberttiny_attr` is a English model originally trained by Shakhovak.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ruberttiny_attr_en_5.5.0_3.0_1726376156246.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ruberttiny_attr_en_5.5.0_3.0_1726376156246.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ruberttiny_attr|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|109.5 MB|
+
+## References
+
+https://huggingface.co/Shakhovak/ruBertTiny_attr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-scenario_non_kd_from_scratch_data_indolem_sentiment_model_xlm_roberta_base_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-scenario_non_kd_from_scratch_data_indolem_sentiment_model_xlm_roberta_base_pipeline_en.md
new file mode 100644
index 00000000000000..15060e9b20eb60
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-scenario_non_kd_from_scratch_data_indolem_sentiment_model_xlm_roberta_base_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English scenario_non_kd_from_scratch_data_indolem_sentiment_model_xlm_roberta_base_pipeline pipeline XlmRoBertaForSequenceClassification from haryoaw
+author: John Snow Labs
+name: scenario_non_kd_from_scratch_data_indolem_sentiment_model_xlm_roberta_base_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`scenario_non_kd_from_scratch_data_indolem_sentiment_model_xlm_roberta_base_pipeline` is a English model originally trained by haryoaw.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/scenario_non_kd_from_scratch_data_indolem_sentiment_model_xlm_roberta_base_pipeline_en_5.5.0_3.0_1726433006371.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/scenario_non_kd_from_scratch_data_indolem_sentiment_model_xlm_roberta_base_pipeline_en_5.5.0_3.0_1726433006371.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("scenario_non_kd_from_scratch_data_indolem_sentiment_model_xlm_roberta_base_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("scenario_non_kd_from_scratch_data_indolem_sentiment_model_xlm_roberta_base_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|scenario_non_kd_from_scratch_data_indolem_sentiment_model_xlm_roberta_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|883.5 MB|
+
+## References
+
+https://huggingface.co/haryoaw/scenario-non-kd-from-scratch-data-indolem_sentiment-model-xlm-roberta-base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-scenario_tcr_4_data_cardiffnlp_tweet_sentiment_multilingual_all_pipeline_xx.md b/docs/_posts/ahmedlone127/2024-09-15-scenario_tcr_4_data_cardiffnlp_tweet_sentiment_multilingual_all_pipeline_xx.md
new file mode 100644
index 00000000000000..87805d1205ea0d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-scenario_tcr_4_data_cardiffnlp_tweet_sentiment_multilingual_all_pipeline_xx.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Multilingual scenario_tcr_4_data_cardiffnlp_tweet_sentiment_multilingual_all_pipeline pipeline XlmRoBertaForSequenceClassification from haryoaw
+author: John Snow Labs
+name: scenario_tcr_4_data_cardiffnlp_tweet_sentiment_multilingual_all_pipeline
+date: 2024-09-15
+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.`scenario_tcr_4_data_cardiffnlp_tweet_sentiment_multilingual_all_pipeline` is a Multilingual model originally trained by haryoaw.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/scenario_tcr_4_data_cardiffnlp_tweet_sentiment_multilingual_all_pipeline_xx_5.5.0_3.0_1726440683200.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/scenario_tcr_4_data_cardiffnlp_tweet_sentiment_multilingual_all_pipeline_xx_5.5.0_3.0_1726440683200.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("scenario_tcr_4_data_cardiffnlp_tweet_sentiment_multilingual_all_pipeline", lang = "xx")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("scenario_tcr_4_data_cardiffnlp_tweet_sentiment_multilingual_all_pipeline", lang = "xx")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|scenario_tcr_4_data_cardiffnlp_tweet_sentiment_multilingual_all_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|xx|
+|Size:|852.4 MB|
+
+## References
+
+https://huggingface.co/haryoaw/scenario-TCR-4_data-cardiffnlp_tweet_sentiment_multilingual_all
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-sent_archaeobert_en.md b/docs/_posts/ahmedlone127/2024-09-15-sent_archaeobert_en.md
new file mode 100644
index 00000000000000..4c310e1d33c980
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-sent_archaeobert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_archaeobert BertSentenceEmbeddings from alexbrandsen
+author: John Snow Labs
+name: sent_archaeobert
+date: 2024-09-15
+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_archaeobert` is a English model originally trained by alexbrandsen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_archaeobert_en_5.5.0_3.0_1726394949543.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_archaeobert_en_5.5.0_3.0_1726394949543.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_base_multilingual_cased_finetuned_dholuo|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|xx|
+|Size:|665.0 MB|
+
+## References
+
+https://huggingface.co/Davlan/bert-base-multilingual-cased-finetuned-luo
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-sent_bert_base_vk_posts_en.md b/docs/_posts/ahmedlone127/2024-09-15-sent_bert_base_vk_posts_en.md
new file mode 100644
index 00000000000000..b6c182b9a134f7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-sent_bert_base_vk_posts_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_base_vk_posts BertSentenceEmbeddings from serggor
+author: John Snow Labs
+name: sent_bert_base_vk_posts
+date: 2024-09-15
+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_vk_posts` is a English model originally trained by serggor.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_base_vk_posts_en_5.5.0_3.0_1726443123071.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_base_vk_posts_en_5.5.0_3.0_1726443123071.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_mitre_bert_base_uncased|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/bencyc1129/mitre-bert-base-uncased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-stego_classifier_checkpoint_epoch_30_2024_07_26_12_23_45_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-stego_classifier_checkpoint_epoch_30_2024_07_26_12_23_45_pipeline_en.md
new file mode 100644
index 00000000000000..72835b75b5da67
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-stego_classifier_checkpoint_epoch_30_2024_07_26_12_23_45_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English stego_classifier_checkpoint_epoch_30_2024_07_26_12_23_45_pipeline pipeline DistilBertForSequenceClassification from jvelja
+author: John Snow Labs
+name: stego_classifier_checkpoint_epoch_30_2024_07_26_12_23_45_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`stego_classifier_checkpoint_epoch_30_2024_07_26_12_23_45_pipeline` is a English model originally trained by jvelja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_30_2024_07_26_12_23_45_pipeline_en_5.5.0_3.0_1726406091021.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_30_2024_07_26_12_23_45_pipeline_en_5.5.0_3.0_1726406091021.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("stego_classifier_checkpoint_epoch_30_2024_07_26_12_23_45_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("stego_classifier_checkpoint_epoch_30_2024_07_26_12_23_45_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stego_classifier_checkpoint_epoch_30_2024_07_26_12_23_45_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jvelja/stego-classifier-checkpoint-epoch-30-2024-07-26_12-23-45
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-stego_classifier_checkpoint_epoch_51_start_exp_time_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-stego_classifier_checkpoint_epoch_51_start_exp_time_pipeline_en.md
new file mode 100644
index 00000000000000..9116da5603ba84
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-stego_classifier_checkpoint_epoch_51_start_exp_time_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English stego_classifier_checkpoint_epoch_51_start_exp_time_pipeline pipeline DistilBertForSequenceClassification from jvelja
+author: John Snow Labs
+name: stego_classifier_checkpoint_epoch_51_start_exp_time_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`stego_classifier_checkpoint_epoch_51_start_exp_time_pipeline` is a English model originally trained by jvelja.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_51_start_exp_time_pipeline_en_5.5.0_3.0_1726405799187.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/stego_classifier_checkpoint_epoch_51_start_exp_time_pipeline_en_5.5.0_3.0_1726405799187.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("stego_classifier_checkpoint_epoch_51_start_exp_time_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("stego_classifier_checkpoint_epoch_51_start_exp_time_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|stego_classifier_checkpoint_epoch_51_start_exp_time_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/jvelja/stego-classifier-checkpoint-epoch-51-START_EXP_TIME
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-takalane_ssw_roberta_pipeline_tn.md b/docs/_posts/ahmedlone127/2024-09-15-takalane_ssw_roberta_pipeline_tn.md
new file mode 100644
index 00000000000000..6882f84b48c52f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-takalane_ssw_roberta_pipeline_tn.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Tswana takalane_ssw_roberta_pipeline pipeline RoBertaEmbeddings from jannesg
+author: John Snow Labs
+name: takalane_ssw_roberta_pipeline
+date: 2024-09-15
+tags: [tn, open_source, pipeline, onnx]
+task: Embeddings
+language: tn
+edition: Spark 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.`takalane_ssw_roberta_pipeline` is a Tswana model originally trained by jannesg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/takalane_ssw_roberta_pipeline_tn_5.5.0_3.0_1726413256828.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/takalane_ssw_roberta_pipeline_tn_5.5.0_3.0_1726413256828.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("takalane_ssw_roberta_pipeline", lang = "tn")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("takalane_ssw_roberta_pipeline", lang = "tn")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|takalane_ssw_roberta_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|tn|
+|Size:|310.2 MB|
+
+## References
+
+https://huggingface.co/jannesg/takalane_ssw_roberta
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-tamil_eng_data_en.md b/docs/_posts/ahmedlone127/2024-09-15-tamil_eng_data_en.md
new file mode 100644
index 00000000000000..2e18ea188f2fe9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-tamil_eng_data_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English tamil_eng_data WhisperForCTC from Achitha
+author: John Snow Labs
+name: tamil_eng_data
+date: 2024-09-15
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tamil_eng_data` is a English model originally trained by Achitha.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tamil_eng_data_en_5.5.0_3.0_1726421150135.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tamil_eng_data_en_5.5.0_3.0_1726421150135.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tamil_eng_data|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|643.6 MB|
+
+## References
+
+https://huggingface.co/Achitha/ta-eng-data
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-test_rrrrrrrita_en.md b/docs/_posts/ahmedlone127/2024-09-15-test_rrrrrrrita_en.md
new file mode 100644
index 00000000000000..bce170fcc7b26e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-test_rrrrrrrita_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English test_rrrrrrrita DistilBertForSequenceClassification from Rrrrrrrita
+author: John Snow Labs
+name: test_rrrrrrrita
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_rrrrrrrita` is a English model originally trained by Rrrrrrrita.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_rrrrrrrita_en_5.5.0_3.0_1726366500817.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_rrrrrrrita_en_5.5.0_3.0_1726366500817.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_rrrrrrrita|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Rrrrrrrita/test
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-text_clf_model_v03_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-text_clf_model_v03_pipeline_en.md
new file mode 100644
index 00000000000000..038d87a2d8d170
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-text_clf_model_v03_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English text_clf_model_v03_pipeline pipeline DistilBertForSequenceClassification from ogamart
+author: John Snow Labs
+name: text_clf_model_v03_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`text_clf_model_v03_pipeline` is a English model originally trained by ogamart.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/text_clf_model_v03_pipeline_en_5.5.0_3.0_1726393896804.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/text_clf_model_v03_pipeline_en_5.5.0_3.0_1726393896804.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("text_clf_model_v03_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("text_clf_model_v03_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|text_clf_model_v03_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ogamart/text-clf-model-v03
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-tuf_albert_5e_en.md b/docs/_posts/ahmedlone127/2024-09-15-tuf_albert_5e_en.md
new file mode 100644
index 00000000000000..6563bbb06cf442
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-tuf_albert_5e_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English tuf_albert_5e AlbertForSequenceClassification from pig4431
+author: John Snow Labs
+name: tuf_albert_5e
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, albert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: AlbertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained AlbertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tuf_albert_5e` is a English model originally trained by pig4431.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tuf_albert_5e_en_5.5.0_3.0_1726372617334.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tuf_albert_5e_en_5.5.0_3.0_1726372617334.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_chv_pre|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|cv|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/alexantonov/whisper-small-chv-pre
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-whisper_small_korean_zeroth_pipeline_ko.md b/docs/_posts/ahmedlone127/2024-09-15-whisper_small_korean_zeroth_pipeline_ko.md
new file mode 100644
index 00000000000000..8eea6c46947c91
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-whisper_small_korean_zeroth_pipeline_ko.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Korean whisper_small_korean_zeroth_pipeline pipeline WhisperForCTC from seastar105
+author: John Snow Labs
+name: whisper_small_korean_zeroth_pipeline
+date: 2024-09-15
+tags: [ko, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: ko
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_korean_zeroth_pipeline` is a Korean model originally trained by seastar105.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_korean_zeroth_pipeline_ko_5.5.0_3.0_1726388415077.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_korean_zeroth_pipeline_ko_5.5.0_3.0_1726388415077.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_korean_zeroth_pipeline", lang = "ko")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_korean_zeroth_pipeline", lang = "ko")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_korean_zeroth_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ko|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/seastar105/whisper-small-ko-zeroth
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-whisper_small_nepali_jenrish_ne.md b/docs/_posts/ahmedlone127/2024-09-15-whisper_small_nepali_jenrish_ne.md
new file mode 100644
index 00000000000000..cbe8f0c2a498bf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-whisper_small_nepali_jenrish_ne.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Nepali (macrolanguage) whisper_small_nepali_jenrish WhisperForCTC from jenrish
+author: John Snow Labs
+name: whisper_small_nepali_jenrish
+date: 2024-09-15
+tags: [ne, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: ne
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_nepali_jenrish` is a Nepali (macrolanguage) model originally trained by jenrish.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_nepali_jenrish_ne_5.5.0_3.0_1726388496679.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_nepali_jenrish_ne_5.5.0_3.0_1726388496679.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_swahili_hedronstone|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|sw|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/hedronstone/whisper-small-sw
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-whisper_small_swedish_northern_sami_irena_pipeline_hi.md b/docs/_posts/ahmedlone127/2024-09-15-whisper_small_swedish_northern_sami_irena_pipeline_hi.md
new file mode 100644
index 00000000000000..1621645593d669
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-whisper_small_swedish_northern_sami_irena_pipeline_hi.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Hindi whisper_small_swedish_northern_sami_irena_pipeline pipeline WhisperForCTC from irena
+author: John Snow Labs
+name: whisper_small_swedish_northern_sami_irena_pipeline
+date: 2024-09-15
+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_swedish_northern_sami_irena_pipeline` is a Hindi model originally trained by irena.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_swedish_northern_sami_irena_pipeline_hi_5.5.0_3.0_1726420424902.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_swedish_northern_sami_irena_pipeline_hi_5.5.0_3.0_1726420424902.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_swedish_northern_sami_irena_pipeline", lang = "hi")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_swedish_northern_sami_irena_pipeline", lang = "hi")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_swedish_northern_sami_irena_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|hi|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/irena/whisper-small-sv-SE
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-whisper_small_urdu_hadiqa123_en.md b/docs/_posts/ahmedlone127/2024-09-15-whisper_small_urdu_hadiqa123_en.md
new file mode 100644
index 00000000000000..3225b9551a2f25
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-whisper_small_urdu_hadiqa123_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_small_urdu_hadiqa123 WhisperForCTC from hadiqa123
+author: John Snow Labs
+name: whisper_small_urdu_hadiqa123
+date: 2024-09-15
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_urdu_hadiqa123` is a English model originally trained by hadiqa123.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_urdu_hadiqa123_en_5.5.0_3.0_1726390603537.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_urdu_hadiqa123_en_5.5.0_3.0_1726390603537.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_urdu_hadiqa123|
+|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/hadiqa123/whisper-small-ur
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-whisper_small_urdu_howmannymore_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-whisper_small_urdu_howmannymore_pipeline_en.md
new file mode 100644
index 00000000000000..7c76b739877f19
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-whisper_small_urdu_howmannymore_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_urdu_howmannymore_pipeline pipeline WhisperForCTC from HowMannyMore
+author: John Snow Labs
+name: whisper_small_urdu_howmannymore_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_urdu_howmannymore_pipeline` is a English model originally trained by HowMannyMore.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_urdu_howmannymore_pipeline_en_5.5.0_3.0_1726419552844.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_urdu_howmannymore_pipeline_en_5.5.0_3.0_1726419552844.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_urdu_howmannymore_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_urdu_howmannymore_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_urdu_howmannymore_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/HowMannyMore/whisper-small-urdu
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-whisper_tiny_english_minds14_aryan_401_en.md b/docs/_posts/ahmedlone127/2024-09-15-whisper_tiny_english_minds14_aryan_401_en.md
new file mode 100644
index 00000000000000..9185bee07b2490
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-whisper_tiny_english_minds14_aryan_401_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_tiny_english_minds14_aryan_401 WhisperForCTC from Aryan-401
+author: John Snow Labs
+name: whisper_tiny_english_minds14_aryan_401
+date: 2024-09-15
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_english_minds14_aryan_401` is a English model originally trained by Aryan-401.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_english_minds14_aryan_401_en_5.5.0_3.0_1726425621929.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_english_minds14_aryan_401_en_5.5.0_3.0_1726425621929.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_english_minds14_aryan_401|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|389.9 MB|
+
+## References
+
+https://huggingface.co/Aryan-401/whisper-tiny-english-minds14
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-whisper_tiny_mongolian_cafet_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-whisper_tiny_mongolian_cafet_pipeline_en.md
new file mode 100644
index 00000000000000..4a6f5902dd24c0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-whisper_tiny_mongolian_cafet_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_tiny_mongolian_cafet_pipeline pipeline WhisperForCTC from Cafet
+author: John Snow Labs
+name: whisper_tiny_mongolian_cafet_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_mongolian_cafet_pipeline` is a English model originally trained by Cafet.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_mongolian_cafet_pipeline_en_5.5.0_3.0_1726425173849.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_mongolian_cafet_pipeline_en_5.5.0_3.0_1726425173849.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_mongolian_cafet_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_mongolian_cafet_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_mongolian_cafet_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|390.2 MB|
+
+## References
+
+https://huggingface.co/Cafet/whisper-tiny-mongolian
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-whisper_tiny_norwegian_faroese_100h_5k_steps_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-whisper_tiny_norwegian_faroese_100h_5k_steps_v2_pipeline_en.md
new file mode 100644
index 00000000000000..a9989046303403
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-whisper_tiny_norwegian_faroese_100h_5k_steps_v2_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_tiny_norwegian_faroese_100h_5k_steps_v2_pipeline pipeline WhisperForCTC from davidilag
+author: John Snow Labs
+name: whisper_tiny_norwegian_faroese_100h_5k_steps_v2_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_norwegian_faroese_100h_5k_steps_v2_pipeline` is a English model originally trained by davidilag.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_norwegian_faroese_100h_5k_steps_v2_pipeline_en_5.5.0_3.0_1726410252424.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_norwegian_faroese_100h_5k_steps_v2_pipeline_en_5.5.0_3.0_1726410252424.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_norwegian_faroese_100h_5k_steps_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_norwegian_faroese_100h_5k_steps_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_norwegian_faroese_100h_5k_steps_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|384.2 MB|
+
+## References
+
+https://huggingface.co/davidilag/whisper-tiny-no-fo-100h-5k-steps_v2
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-whisper_tiny_russian_machinetrofimov_pipeline_ru.md b/docs/_posts/ahmedlone127/2024-09-15-whisper_tiny_russian_machinetrofimov_pipeline_ru.md
new file mode 100644
index 00000000000000..79d436703bf72d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-whisper_tiny_russian_machinetrofimov_pipeline_ru.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Russian whisper_tiny_russian_machinetrofimov_pipeline pipeline WhisperForCTC from MachineTrofimov
+author: John Snow Labs
+name: whisper_tiny_russian_machinetrofimov_pipeline
+date: 2024-09-15
+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_tiny_russian_machinetrofimov_pipeline` is a Russian model originally trained by MachineTrofimov.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_russian_machinetrofimov_pipeline_ru_5.5.0_3.0_1726421144770.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_russian_machinetrofimov_pipeline_ru_5.5.0_3.0_1726421144770.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_russian_machinetrofimov_pipeline", lang = "ru")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_russian_machinetrofimov_pipeline", lang = "ru")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_russian_machinetrofimov_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ru|
+|Size:|390.1 MB|
+
+## References
+
+https://huggingface.co/MachineTrofimov/whisper-tiny-ru
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-whisper_tiny_thai_th.md b/docs/_posts/ahmedlone127/2024-09-15-whisper_tiny_thai_th.md
new file mode 100644
index 00000000000000..4e90c75684212c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-whisper_tiny_thai_th.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Thai whisper_tiny_thai WhisperForCTC from juierror
+author: John Snow Labs
+name: whisper_tiny_thai
+date: 2024-09-15
+tags: [th, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: th
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_thai` is a Thai model originally trained by juierror.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_thai_th_5.5.0_3.0_1726411698736.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_thai_th_5.5.0_3.0_1726411698736.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_v2_default_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/karinthommen/whisper-V2-default-small
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-withinapps_ndd_dimeshift_test_tags_cwadj_en.md b/docs/_posts/ahmedlone127/2024-09-15-withinapps_ndd_dimeshift_test_tags_cwadj_en.md
new file mode 100644
index 00000000000000..15e62caeafee28
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-withinapps_ndd_dimeshift_test_tags_cwadj_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English withinapps_ndd_dimeshift_test_tags_cwadj DistilBertForSequenceClassification from lgk03
+author: John Snow Labs
+name: withinapps_ndd_dimeshift_test_tags_cwadj
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`withinapps_ndd_dimeshift_test_tags_cwadj` is a English model originally trained by lgk03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/withinapps_ndd_dimeshift_test_tags_cwadj_en_5.5.0_3.0_1726366396913.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/withinapps_ndd_dimeshift_test_tags_cwadj_en_5.5.0_3.0_1726366396913.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|withinapps_ndd_dimeshift_test_tags_cwadj|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lgk03/WITHINAPPS_NDD-dimeshift_test-tags-CWAdj
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_4_pipeline_en.md
new file mode 100644
index 00000000000000..5c3a063b15ba80
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_4_pipeline pipeline XlmRoBertaForSequenceClassification from alyazharr
+author: John Snow Labs
+name: xlm_roberta_base_4_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_4_pipeline` is a English model originally trained by alyazharr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_4_pipeline_en_5.5.0_3.0_1726374832675.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_4_pipeline_en_5.5.0_3.0_1726374832675.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|827.5 MB|
+
+## References
+
+https://huggingface.co/alyazharr/xlm_roberta_base_4
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_kinyarwanda_kinyarwanda_finetuned_kinyarwanda_sent1_en.md b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_kinyarwanda_kinyarwanda_finetuned_kinyarwanda_sent1_en.md
new file mode 100644
index 00000000000000..ecb44aa43f3bc7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_kinyarwanda_kinyarwanda_finetuned_kinyarwanda_sent1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_kinyarwanda_kinyarwanda_finetuned_kinyarwanda_sent1 XlmRoBertaForSequenceClassification from RogerB
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_kinyarwanda_kinyarwanda_finetuned_kinyarwanda_sent1
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_kinyarwanda_kinyarwanda_finetuned_kinyarwanda_sent1` is a English model originally trained by RogerB.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_kinyarwanda_kinyarwanda_finetuned_kinyarwanda_sent1_en_5.5.0_3.0_1726433486046.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_kinyarwanda_kinyarwanda_finetuned_kinyarwanda_sent1_en_5.5.0_3.0_1726433486046.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_kinyarwanda_kinyarwanda_finetuned_kinyarwanda_sent1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/RogerB/xlm-roberta-base-finetuned-kinyarwanda-kin-finetuned-kin-sent1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_english_amitjain171980_en.md b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_english_amitjain171980_en.md
new file mode 100644
index 00000000000000..3ee0a5ee2fdc50
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_english_amitjain171980_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_amitjain171980 XlmRoBertaForTokenClassification from amitjain171980
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_amitjain171980
+date: 2024-09-15
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_english_amitjain171980` is a English model originally trained by amitjain171980.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_amitjain171980_en_5.5.0_3.0_1726362739912.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_amitjain171980_en_5.5.0_3.0_1726362739912.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_amitjain171980|
+|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/amitjain171980/xlm-roberta-base-finetuned-panx-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_english_monkdalma_en.md b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_english_monkdalma_en.md
new file mode 100644
index 00000000000000..9e4ba0e29210a0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_english_monkdalma_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_monkdalma XlmRoBertaForTokenClassification from MonkDalma
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_monkdalma
+date: 2024-09-15
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_english_monkdalma` is a English model originally trained by MonkDalma.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_monkdalma_en_5.5.0_3.0_1726370502086.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_monkdalma_en_5.5.0_3.0_1726370502086.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_monkdalma|
+|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/MonkDalma/xlm-roberta-base-finetuned-panx-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_french_abdus_en.md b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_french_abdus_en.md
new file mode 100644
index 00000000000000..93338def89468d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_french_abdus_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_abdus XlmRoBertaForTokenClassification from abdus
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_abdus
+date: 2024-09-15
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_abdus` is a English model originally trained by abdus.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_abdus_en_5.5.0_3.0_1726362999928.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_abdus_en_5.5.0_3.0_1726362999928.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_abdus|
+|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/abdus/xlm-roberta-base-finetuned-panx-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_french_haesun_en.md b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_french_haesun_en.md
new file mode 100644
index 00000000000000..b6cd98a893a7ee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_french_haesun_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_haesun XlmRoBertaForTokenClassification from haesun
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_haesun
+date: 2024-09-15
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_haesun` 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_french_haesun_en_5.5.0_3.0_1726362157811.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_haesun_en_5.5.0_3.0_1726362157811.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_haesun|
+|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/haesun/xlm-roberta-base-finetuned-panx-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_french_udon3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_french_udon3_pipeline_en.md
new file mode 100644
index 00000000000000..82a2314da20742
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_french_udon3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_udon3_pipeline pipeline XlmRoBertaForTokenClassification from udon3
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_udon3_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_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_french_udon3_pipeline_en_5.5.0_3.0_1726362320880.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_udon3_pipeline_en_5.5.0_3.0_1726362320880.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_udon3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_udon3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_udon3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|840.9 MB|
+
+## References
+
+https://huggingface.co/udon3/xlm-roberta-base-finetuned-panx-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_italian_ajit_transformer_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_italian_ajit_transformer_pipeline_en.md
new file mode 100644
index 00000000000000..46f2d8c983c782
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_italian_ajit_transformer_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_italian_ajit_transformer_pipeline pipeline XlmRoBertaForTokenClassification from ajit-transformer
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_italian_ajit_transformer_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_italian_ajit_transformer_pipeline` is a English model originally trained by ajit-transformer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_ajit_transformer_pipeline_en_5.5.0_3.0_1726361552849.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_ajit_transformer_pipeline_en_5.5.0_3.0_1726361552849.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_ajit_transformer_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_italian_ajit_transformer_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_italian_ajit_transformer_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|826.5 MB|
+
+## References
+
+https://huggingface.co/ajit-transformer/xlm-roberta-base-finetuned-panx-it
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_italian_ligerre_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_italian_ligerre_pipeline_en.md
new file mode 100644
index 00000000000000..c8d8ce146fd3ac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_italian_ligerre_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_italian_ligerre_pipeline pipeline XlmRoBertaForTokenClassification from ligerre
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_italian_ligerre_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_italian_ligerre_pipeline` is a English model originally trained by ligerre.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_ligerre_pipeline_en_5.5.0_3.0_1726361536087.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_ligerre_pipeline_en_5.5.0_3.0_1726361536087.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_ligerre_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_italian_ligerre_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_italian_ligerre_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|828.6 MB|
+
+## References
+
+https://huggingface.co/ligerre/xlm-roberta-base-finetuned-panx-it
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_italian_scionk_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_italian_scionk_pipeline_en.md
new file mode 100644
index 00000000000000..eec7fb29fe72a3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_italian_scionk_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_italian_scionk_pipeline pipeline XlmRoBertaForTokenClassification from scionk
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_italian_scionk_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_italian_scionk_pipeline` is a English model originally trained by scionk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_scionk_pipeline_en_5.5.0_3.0_1726361566142.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_scionk_pipeline_en_5.5.0_3.0_1726361566142.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_scionk_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_italian_scionk_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_italian_scionk_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|816.8 MB|
+
+## References
+
+https://huggingface.co/scionk/xlm-roberta-base-finetuned-panx-it
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_italian_ysige_en.md b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_italian_ysige_en.md
new file mode 100644
index 00000000000000..716d15dde1dec0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_finetuned_panx_italian_ysige_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_italian_ysige XlmRoBertaForTokenClassification from ysige
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_italian_ysige
+date: 2024-09-15
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_italian_ysige` is a English model originally trained by ysige.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_ysige_en_5.5.0_3.0_1726362746599.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_ysige_en_5.5.0_3.0_1726362746599.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_ysige|
+|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/ysige/xlm-roberta-base-finetuned-panx-it
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_tweet_sentiment_english_trimmed_english_50000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_tweet_sentiment_english_trimmed_english_50000_pipeline_en.md
new file mode 100644
index 00000000000000..b6fd038cc4239f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_base_tweet_sentiment_english_trimmed_english_50000_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_tweet_sentiment_english_trimmed_english_50000_pipeline pipeline XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_roberta_base_tweet_sentiment_english_trimmed_english_50000_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_tweet_sentiment_english_trimmed_english_50000_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_50000_pipeline_en_5.5.0_3.0_1726432887672.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_50000_pipeline_en_5.5.0_3.0_1726432887672.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_50000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_tweet_sentiment_english_trimmed_english_50000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_tweet_sentiment_english_trimmed_english_50000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|426.5 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-roberta-base-tweet-sentiment-en-trimmed-en-50000
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_longformer_base_4096_repnum_wl_3_classes_fr.md b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_longformer_base_4096_repnum_wl_3_classes_fr.md
new file mode 100644
index 00000000000000..ac92b0c82e46c6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_longformer_base_4096_repnum_wl_3_classes_fr.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: French xlm_roberta_longformer_base_4096_repnum_wl_3_classes XlmRoBertaForSequenceClassification from waboucay
+author: John Snow Labs
+name: xlm_roberta_longformer_base_4096_repnum_wl_3_classes
+date: 2024-09-15
+tags: [fr, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: fr
+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_longformer_base_4096_repnum_wl_3_classes` is a French model originally trained by waboucay.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_longformer_base_4096_repnum_wl_3_classes_fr_5.5.0_3.0_1726373499425.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_longformer_base_4096_repnum_wl_3_classes_fr_5.5.0_3.0_1726373499425.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_longformer_base_4096_repnum_wl_3_classes|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|fr|
+|Size:|1.1 GB|
+
+## References
+
+https://huggingface.co/waboucay/xlm-roberta-longformer-base-4096-repnum_wl_3_classes
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_ner_shopsign_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_ner_shopsign_pipeline_en.md
new file mode 100644
index 00000000000000..b02dcfcc05584a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-xlm_roberta_ner_shopsign_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_ner_shopsign_pipeline pipeline XlmRoBertaForTokenClassification from HyungYoun
+author: John Snow Labs
+name: xlm_roberta_ner_shopsign_pipeline
+date: 2024-09-15
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_ner_shopsign_pipeline` is a English model originally trained by HyungYoun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_ner_shopsign_pipeline_en_5.5.0_3.0_1726398436203.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_ner_shopsign_pipeline_en_5.5.0_3.0_1726398436203.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_ner_shopsign_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_ner_shopsign_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_ner_shopsign_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|794.2 MB|
+
+## References
+
+https://huggingface.co/HyungYoun/xlm-roberta-ner-shopsign
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-xlmr_romanian_english_all_shuffled_42_test1000_en.md b/docs/_posts/ahmedlone127/2024-09-15-xlmr_romanian_english_all_shuffled_42_test1000_en.md
new file mode 100644
index 00000000000000..e9db7026eea6c0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-xlmr_romanian_english_all_shuffled_42_test1000_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlmr_romanian_english_all_shuffled_42_test1000 XlmRoBertaForSequenceClassification from patpizio
+author: John Snow Labs
+name: xlmr_romanian_english_all_shuffled_42_test1000
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlmr_romanian_english_all_shuffled_42_test1000` is a English model originally trained by patpizio.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlmr_romanian_english_all_shuffled_42_test1000_en_5.5.0_3.0_1726441192132.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlmr_romanian_english_all_shuffled_42_test1000_en_5.5.0_3.0_1726441192132.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlmr_romanian_english_all_shuffled_42_test1000|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|820.3 MB|
+
+## References
+
+https://huggingface.co/patpizio/xlmr-ro-en-all_shuffled-42-test1000
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-15-xlmrobertatask2_en.md b/docs/_posts/ahmedlone127/2024-09-15-xlmrobertatask2_en.md
new file mode 100644
index 00000000000000..8ed5fdf2c6816b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-15-xlmrobertatask2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlmrobertatask2 XlmRoBertaForSequenceClassification from DianaTurmakhan
+author: John Snow Labs
+name: xlmrobertatask2
+date: 2024-09-15
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlmrobertatask2` is a English model originally trained by DianaTurmakhan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlmrobertatask2_en_5.5.0_3.0_1726441857901.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlmrobertatask2_en_5.5.0_3.0_1726441857901.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlmrobertatask2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|819.3 MB|
+
+## References
+
+https://huggingface.co/DianaTurmakhan/XLMRobertaTask2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-afriberta_base_finetuned_igbo_en.md b/docs/_posts/ahmedlone127/2024-09-16-afriberta_base_finetuned_igbo_en.md
new file mode 100644
index 00000000000000..930c74d30d1928
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-afriberta_base_finetuned_igbo_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English afriberta_base_finetuned_igbo XlmRoBertaForTokenClassification from grace-pro
+author: John Snow Labs
+name: afriberta_base_finetuned_igbo
+date: 2024-09-16
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`afriberta_base_finetuned_igbo` is a English model originally trained by grace-pro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/afriberta_base_finetuned_igbo_en_5.5.0_3.0_1726496367854.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/afriberta_base_finetuned_igbo_en_5.5.0_3.0_1726496367854.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|afriberta_base_finetuned_igbo|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|415.2 MB|
+
+## References
+
+https://huggingface.co/grace-pro/afriberta-base-finetuned-igbo
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-afro_xlmr_base_hausa_2e_5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-afro_xlmr_base_hausa_2e_5_pipeline_en.md
new file mode 100644
index 00000000000000..385dfef0b8dd75
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-afro_xlmr_base_hausa_2e_5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English afro_xlmr_base_hausa_2e_5_pipeline pipeline XlmRoBertaForTokenClassification from grace-pro
+author: John Snow Labs
+name: afro_xlmr_base_hausa_2e_5_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`afro_xlmr_base_hausa_2e_5_pipeline` is a English model originally trained by grace-pro.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/afro_xlmr_base_hausa_2e_5_pipeline_en_5.5.0_3.0_1726498094799.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/afro_xlmr_base_hausa_2e_5_pipeline_en_5.5.0_3.0_1726498094799.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("afro_xlmr_base_hausa_2e_5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("afro_xlmr_base_hausa_2e_5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|afro_xlmr_base_hausa_2e_5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/grace-pro/afro-xlmr-base-hausa-2e-5
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-ag_news_classification_distillbert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-ag_news_classification_distillbert_pipeline_en.md
new file mode 100644
index 00000000000000..c82a2d95a94c36
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-ag_news_classification_distillbert_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ag_news_classification_distillbert_pipeline pipeline DistilBertForSequenceClassification from cornelliusyudhawijaya
+author: John Snow Labs
+name: ag_news_classification_distillbert_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ag_news_classification_distillbert_pipeline` is a English model originally trained by cornelliusyudhawijaya.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ag_news_classification_distillbert_pipeline_en_5.5.0_3.0_1726506402085.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ag_news_classification_distillbert_pipeline_en_5.5.0_3.0_1726506402085.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ag_news_classification_distillbert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ag_news_classification_distillbert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ag_news_classification_distillbert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/cornelliusyudhawijaya/AG_News_Classification_DistillBert
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-ag_news_roberta_large_seed_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-ag_news_roberta_large_seed_1_pipeline_en.md
new file mode 100644
index 00000000000000..96cab52e0ca29b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-ag_news_roberta_large_seed_1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ag_news_roberta_large_seed_1_pipeline pipeline RoBertaForSequenceClassification from utahnlp
+author: John Snow Labs
+name: ag_news_roberta_large_seed_1_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ag_news_roberta_large_seed_1_pipeline` is a English model originally trained by utahnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ag_news_roberta_large_seed_1_pipeline_en_5.5.0_3.0_1726518608139.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ag_news_roberta_large_seed_1_pipeline_en_5.5.0_3.0_1726518608139.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ag_news_roberta_large_seed_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ag_news_roberta_large_seed_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ag_news_roberta_large_seed_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/utahnlp/ag_news_roberta-large_seed-1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-ahisto_ner_model_tds1_witiko_en.md b/docs/_posts/ahmedlone127/2024-09-16-ahisto_ner_model_tds1_witiko_en.md
new file mode 100644
index 00000000000000..f4e34be853046c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-ahisto_ner_model_tds1_witiko_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ahisto_ner_model_tds1_witiko XlmRoBertaForTokenClassification from witiko
+author: John Snow Labs
+name: ahisto_ner_model_tds1_witiko
+date: 2024-09-16
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ahisto_ner_model_tds1_witiko` is a English model originally trained by witiko.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ahisto_ner_model_tds1_witiko_en_5.5.0_3.0_1726494927524.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ahisto_ner_model_tds1_witiko_en_5.5.0_3.0_1726494927524.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ahisto_ner_model_tds1_witiko|
+|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/witiko/ahisto-ner-model-tds1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-ahisto_ner_model_tds1_witiko_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-ahisto_ner_model_tds1_witiko_pipeline_en.md
new file mode 100644
index 00000000000000..a2114651445df2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-ahisto_ner_model_tds1_witiko_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ahisto_ner_model_tds1_witiko_pipeline pipeline XlmRoBertaForTokenClassification from witiko
+author: John Snow Labs
+name: ahisto_ner_model_tds1_witiko_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ahisto_ner_model_tds1_witiko_pipeline` is a English model originally trained by witiko.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ahisto_ner_model_tds1_witiko_pipeline_en_5.5.0_3.0_1726494978234.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ahisto_ner_model_tds1_witiko_pipeline_en_5.5.0_3.0_1726494978234.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ahisto_ner_model_tds1_witiko_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ahisto_ner_model_tds1_witiko_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ahisto_ner_model_tds1_witiko_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/witiko/ahisto-ner-model-tds1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-ai_text_detector_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-ai_text_detector_pipeline_en.md
new file mode 100644
index 00000000000000..4b4e082ce61e06
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-ai_text_detector_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English ai_text_detector_pipeline pipeline BertForSequenceClassification from yongchao
+author: John Snow Labs
+name: ai_text_detector_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ai_text_detector_pipeline` is a English model originally trained by yongchao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ai_text_detector_pipeline_en_5.5.0_3.0_1726493352102.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ai_text_detector_pipeline_en_5.5.0_3.0_1726493352102.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ai_text_detector_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ai_text_detector_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ai_text_detector_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/yongchao/ai_text_detector
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-akan_tiny_2000ms_1k_pipeline_ak.md b/docs/_posts/ahmedlone127/2024-09-16-akan_tiny_2000ms_1k_pipeline_ak.md
new file mode 100644
index 00000000000000..f6886a8daa0324
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-akan_tiny_2000ms_1k_pipeline_ak.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Akan akan_tiny_2000ms_1k_pipeline pipeline WhisperForCTC from devkyle
+author: John Snow Labs
+name: akan_tiny_2000ms_1k_pipeline
+date: 2024-09-16
+tags: [ak, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: ak
+edition: Spark 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.`akan_tiny_2000ms_1k_pipeline` is a Akan model originally trained by devkyle.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/akan_tiny_2000ms_1k_pipeline_ak_5.5.0_3.0_1726476566938.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/akan_tiny_2000ms_1k_pipeline_ak_5.5.0_3.0_1726476566938.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("akan_tiny_2000ms_1k_pipeline", lang = "ak")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("akan_tiny_2000ms_1k_pipeline", lang = "ak")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|akan_tiny_2000ms_1k_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ak|
+|Size:|389.6 MB|
+
+## References
+
+https://huggingface.co/devkyle/Akan-tiny-2000ms-1k
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-albert_model_03_en.md b/docs/_posts/ahmedlone127/2024-09-16-albert_model_03_en.md
new file mode 100644
index 00000000000000..baa3a446896e90
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-albert_model_03_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English albert_model_03 DistilBertForSequenceClassification from KalaiselvanD
+author: John Snow Labs
+name: albert_model_03
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`albert_model_03` is a English model originally trained by KalaiselvanD.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_model_03_en_5.5.0_3.0_1726506510795.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_model_03_en_5.5.0_3.0_1726506510795.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_model_03|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/KalaiselvanD/albert_model_03
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-albert_small_kor_cross_encoder_v1_pipeline_ko.md b/docs/_posts/ahmedlone127/2024-09-16-albert_small_kor_cross_encoder_v1_pipeline_ko.md
new file mode 100644
index 00000000000000..7065e152c25fdd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-albert_small_kor_cross_encoder_v1_pipeline_ko.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Korean albert_small_kor_cross_encoder_v1_pipeline pipeline BertForSequenceClassification from bongsoo
+author: John Snow Labs
+name: albert_small_kor_cross_encoder_v1_pipeline
+date: 2024-09-16
+tags: [ko, open_source, pipeline, onnx]
+task: Text Classification
+language: ko
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`albert_small_kor_cross_encoder_v1_pipeline` is a Korean model originally trained by bongsoo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/albert_small_kor_cross_encoder_v1_pipeline_ko_5.5.0_3.0_1726459196662.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/albert_small_kor_cross_encoder_v1_pipeline_ko_5.5.0_3.0_1726459196662.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("albert_small_kor_cross_encoder_v1_pipeline", lang = "ko")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("albert_small_kor_cross_encoder_v1_pipeline", lang = "ko")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|albert_small_kor_cross_encoder_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ko|
+|Size:|43.9 MB|
+
+## References
+
+https://huggingface.co/bongsoo/albert-small-kor-cross-encoder-v1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-all_roberta_large_v1_auto_and_commute_8_16_5_oos_en.md b/docs/_posts/ahmedlone127/2024-09-16-all_roberta_large_v1_auto_and_commute_8_16_5_oos_en.md
new file mode 100644
index 00000000000000..b754778eec5fdf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-all_roberta_large_v1_auto_and_commute_8_16_5_oos_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English all_roberta_large_v1_auto_and_commute_8_16_5_oos RoBertaForSequenceClassification from fathyshalab
+author: John Snow Labs
+name: all_roberta_large_v1_auto_and_commute_8_16_5_oos
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_roberta_large_v1_auto_and_commute_8_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_auto_and_commute_8_16_5_oos_en_5.5.0_3.0_1726504671739.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_auto_and_commute_8_16_5_oos_en_5.5.0_3.0_1726504671739.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_auto_and_commute_8_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-auto_and_commute-8-16-5-oos
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-all_roberta_large_v1_auto_and_commute_8_16_5_oos_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-all_roberta_large_v1_auto_and_commute_8_16_5_oos_pipeline_en.md
new file mode 100644
index 00000000000000..9172a396451903
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-all_roberta_large_v1_auto_and_commute_8_16_5_oos_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English all_roberta_large_v1_auto_and_commute_8_16_5_oos_pipeline pipeline RoBertaForSequenceClassification from fathyshalab
+author: John Snow Labs
+name: all_roberta_large_v1_auto_and_commute_8_16_5_oos_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_roberta_large_v1_auto_and_commute_8_16_5_oos_pipeline` is a English model originally trained by fathyshalab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_auto_and_commute_8_16_5_oos_pipeline_en_5.5.0_3.0_1726504732007.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_auto_and_commute_8_16_5_oos_pipeline_en_5.5.0_3.0_1726504732007.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_auto_and_commute_8_16_5_oos_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("all_roberta_large_v1_auto_and_commute_8_16_5_oos_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_roberta_large_v1_auto_and_commute_8_16_5_oos_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/fathyshalab/all-roberta-large-v1-auto_and_commute-8-16-5-oos
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-all_roberta_large_v1_home_9_16_5_en.md b/docs/_posts/ahmedlone127/2024-09-16-all_roberta_large_v1_home_9_16_5_en.md
new file mode 100644
index 00000000000000..d353d68641e7c1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-all_roberta_large_v1_home_9_16_5_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English all_roberta_large_v1_home_9_16_5 RoBertaForSequenceClassification from fathyshalab
+author: John Snow Labs
+name: all_roberta_large_v1_home_9_16_5
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_roberta_large_v1_home_9_16_5` is a English model originally trained by fathyshalab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_home_9_16_5_en_5.5.0_3.0_1726527420310.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_home_9_16_5_en_5.5.0_3.0_1726527420310.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_roberta_large_v1_home_9_16_5|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/fathyshalab/all-roberta-large-v1-home-9-16-5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-all_roberta_large_v1_home_9_16_5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-all_roberta_large_v1_home_9_16_5_pipeline_en.md
new file mode 100644
index 00000000000000..5b9b37d55278a0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-all_roberta_large_v1_home_9_16_5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English all_roberta_large_v1_home_9_16_5_pipeline pipeline RoBertaForSequenceClassification from fathyshalab
+author: John Snow Labs
+name: all_roberta_large_v1_home_9_16_5_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`all_roberta_large_v1_home_9_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_home_9_16_5_pipeline_en_5.5.0_3.0_1726527484833.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/all_roberta_large_v1_home_9_16_5_pipeline_en_5.5.0_3.0_1726527484833.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_home_9_16_5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("all_roberta_large_v1_home_9_16_5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|all_roberta_large_v1_home_9_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-home-9-16-5
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-alvaro_marian_finetuned_italian_russian_en.md b/docs/_posts/ahmedlone127/2024-09-16-alvaro_marian_finetuned_italian_russian_en.md
new file mode 100644
index 00000000000000..fc30550a4a8428
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-alvaro_marian_finetuned_italian_russian_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English alvaro_marian_finetuned_italian_russian MarianTransformer from Rooshan
+author: John Snow Labs
+name: alvaro_marian_finetuned_italian_russian
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`alvaro_marian_finetuned_italian_russian` is a English model originally trained by Rooshan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/alvaro_marian_finetuned_italian_russian_en_5.5.0_3.0_1726493876879.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/alvaro_marian_finetuned_italian_russian_en_5.5.0_3.0_1726493876879.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_russian|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|1.4 GB|
+
+## References
+
+https://huggingface.co/Rooshan/Alvaro-marian_finetuned_it_ru
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-analysis_on_socialmedia_sentiment_on_vaccines_sampsonchris_en.md b/docs/_posts/ahmedlone127/2024-09-16-analysis_on_socialmedia_sentiment_on_vaccines_sampsonchris_en.md
new file mode 100644
index 00000000000000..0ed40d0774f68a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-analysis_on_socialmedia_sentiment_on_vaccines_sampsonchris_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English analysis_on_socialmedia_sentiment_on_vaccines_sampsonchris RoBertaForSequenceClassification from SampsonChris
+author: John Snow Labs
+name: analysis_on_socialmedia_sentiment_on_vaccines_sampsonchris
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`analysis_on_socialmedia_sentiment_on_vaccines_sampsonchris` is a English model originally trained by SampsonChris.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/analysis_on_socialmedia_sentiment_on_vaccines_sampsonchris_en_5.5.0_3.0_1726518739137.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/analysis_on_socialmedia_sentiment_on_vaccines_sampsonchris_en_5.5.0_3.0_1726518739137.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|analysis_on_socialmedia_sentiment_on_vaccines_sampsonchris|
+|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/SampsonChris/Analysis_on_socialmedia_sentiment_on_vaccines
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-analysis_on_socialmedia_sentiment_on_vaccines_sampsonchris_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-analysis_on_socialmedia_sentiment_on_vaccines_sampsonchris_pipeline_en.md
new file mode 100644
index 00000000000000..94585894421119
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-analysis_on_socialmedia_sentiment_on_vaccines_sampsonchris_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English analysis_on_socialmedia_sentiment_on_vaccines_sampsonchris_pipeline pipeline RoBertaForSequenceClassification from SampsonChris
+author: John Snow Labs
+name: analysis_on_socialmedia_sentiment_on_vaccines_sampsonchris_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`analysis_on_socialmedia_sentiment_on_vaccines_sampsonchris_pipeline` is a English model originally trained by SampsonChris.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/analysis_on_socialmedia_sentiment_on_vaccines_sampsonchris_pipeline_en_5.5.0_3.0_1726518761383.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/analysis_on_socialmedia_sentiment_on_vaccines_sampsonchris_pipeline_en_5.5.0_3.0_1726518761383.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("analysis_on_socialmedia_sentiment_on_vaccines_sampsonchris_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("analysis_on_socialmedia_sentiment_on_vaccines_sampsonchris_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|analysis_on_socialmedia_sentiment_on_vaccines_sampsonchris_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.2 MB|
+
+## References
+
+https://huggingface.co/SampsonChris/Analysis_on_socialmedia_sentiment_on_vaccines
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-ascle_english_french_ufal_marianmt_en.md b/docs/_posts/ahmedlone127/2024-09-16-ascle_english_french_ufal_marianmt_en.md
new file mode 100644
index 00000000000000..53f28cb5520155
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-ascle_english_french_ufal_marianmt_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English ascle_english_french_ufal_marianmt MarianTransformer from li-lab
+author: John Snow Labs
+name: ascle_english_french_ufal_marianmt
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ascle_english_french_ufal_marianmt` is a English model originally trained by li-lab.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ascle_english_french_ufal_marianmt_en_5.5.0_3.0_1726493997215.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ascle_english_french_ufal_marianmt_en_5.5.0_3.0_1726493997215.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|banglabert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|412.2 MB|
+
+## References
+
+https://huggingface.co/doerig/banglabert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-banglabert_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-banglabert_pipeline_en.md
new file mode 100644
index 00000000000000..666301776281e6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-banglabert_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English banglabert_pipeline pipeline BertForQuestionAnswering from doerig
+author: John Snow Labs
+name: banglabert_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`banglabert_pipeline` is a English model originally trained by doerig.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/banglabert_pipeline_en_5.5.0_3.0_1726490014346.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/banglabert_pipeline_en_5.5.0_3.0_1726490014346.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("banglabert_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("banglabert_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|banglabert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|412.2 MB|
+
+## References
+
+https://huggingface.co/doerig/banglabert
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-bert_base_cased_finetuned_alban12_en.md b/docs/_posts/ahmedlone127/2024-09-16-bert_base_cased_finetuned_alban12_en.md
new file mode 100644
index 00000000000000..527e8d087a8db1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-bert_base_cased_finetuned_alban12_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_cased_finetuned_alban12 BertForTokenClassification from alban12
+author: John Snow Labs
+name: bert_base_cased_finetuned_alban12
+date: 2024-09-16
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_finetuned_alban12` is a English model originally trained by alban12.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_alban12_en_5.5.0_3.0_1726520191320.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_alban12_en_5.5.0_3.0_1726520191320.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_finetuned_alban12|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|420.3 MB|
+
+## References
+
+https://huggingface.co/alban12/bert-base-cased-finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-bert_base_cased_finetuned_multinerd_systema_en.md b/docs/_posts/ahmedlone127/2024-09-16-bert_base_cased_finetuned_multinerd_systema_en.md
new file mode 100644
index 00000000000000..4d0d2f0385d9f8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-bert_base_cased_finetuned_multinerd_systema_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_base_cased_finetuned_multinerd_systema BertForTokenClassification from medxiaorudan
+author: John Snow Labs
+name: bert_base_cased_finetuned_multinerd_systema
+date: 2024-09-16
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_finetuned_multinerd_systema` is a English model originally trained by medxiaorudan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_multinerd_systema_en_5.5.0_3.0_1726520339742.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_multinerd_systema_en_5.5.0_3.0_1726520339742.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_finetuned_multinerd_systema|
+|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/medxiaorudan/bert-base-cased-finetuned-MultiNERD-SystemA
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-bert_base_cased_finetuned_multinerd_systema_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-bert_base_cased_finetuned_multinerd_systema_pipeline_en.md
new file mode 100644
index 00000000000000..e57e53819a92cf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-bert_base_cased_finetuned_multinerd_systema_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_cased_finetuned_multinerd_systema_pipeline pipeline BertForTokenClassification from medxiaorudan
+author: John Snow Labs
+name: bert_base_cased_finetuned_multinerd_systema_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_cased_finetuned_multinerd_systema_pipeline` is a English model originally trained by medxiaorudan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_multinerd_systema_pipeline_en_5.5.0_3.0_1726520358817.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_cased_finetuned_multinerd_systema_pipeline_en_5.5.0_3.0_1726520358817.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_cased_finetuned_multinerd_systema_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_cased_finetuned_multinerd_systema_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_cased_finetuned_multinerd_systema_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.8 MB|
+
+## References
+
+https://huggingface.co/medxiaorudan/bert-base-cased-finetuned-MultiNERD-SystemA
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-bert_base_german_cased_cimt_location_de.md b/docs/_posts/ahmedlone127/2024-09-16-bert_base_german_cased_cimt_location_de.md
new file mode 100644
index 00000000000000..ad297a707a8cf7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-bert_base_german_cased_cimt_location_de.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: German bert_base_german_cased_cimt_location BertForTokenClassification from juliaromberg
+author: John Snow Labs
+name: bert_base_german_cased_cimt_location
+date: 2024-09-16
+tags: [de, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: de
+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_german_cased_cimt_location` is a German model originally trained by juliaromberg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_german_cased_cimt_location_de_5.5.0_3.0_1726454365687.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_german_cased_cimt_location_de_5.5.0_3.0_1726454365687.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_german_cased_cimt_location|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|de|
+|Size:|406.9 MB|
+
+## References
+
+https://huggingface.co/juliaromberg/bert-base-german-cased_cimt-location
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-bert_base_tweet_topic_classification_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-bert_base_tweet_topic_classification_pipeline_en.md
new file mode 100644
index 00000000000000..f6ea6ca55a4d03
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-bert_base_tweet_topic_classification_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_base_tweet_topic_classification_pipeline pipeline BertForSequenceClassification from GeeDino
+author: John Snow Labs
+name: bert_base_tweet_topic_classification_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_tweet_topic_classification_pipeline` is a English model originally trained by GeeDino.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_tweet_topic_classification_pipeline_en_5.5.0_3.0_1726499181384.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_tweet_topic_classification_pipeline_en_5.5.0_3.0_1726499181384.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_tweet_topic_classification_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_tweet_topic_classification_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_tweet_topic_classification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|627.8 MB|
+
+## References
+
+https://huggingface.co/GeeDino/bert-base-tweet-topic-classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-bert_base_uncased_squadv2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-bert_base_uncased_squadv2_pipeline_en.md
new file mode 100644
index 00000000000000..cfa22b9b281077
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-bert_base_uncased_squadv2_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_uncased_squadv2_pipeline pipeline BertForQuestionAnswering from Pennywise881
+author: John Snow Labs
+name: bert_base_uncased_squadv2_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_squadv2_pipeline` is a English model originally trained by Pennywise881.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_squadv2_pipeline_en_5.5.0_3.0_1726511101243.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_squadv2_pipeline_en_5.5.0_3.0_1726511101243.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_squadv2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_squadv2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_squadv2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/Pennywise881/bert-base-uncased-squadv2
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-bert_book_genre_classification_en.md b/docs/_posts/ahmedlone127/2024-09-16-bert_book_genre_classification_en.md
new file mode 100644
index 00000000000000..f8410b3a57f804
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-bert_book_genre_classification_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_book_genre_classification BertForSequenceClassification from statworx
+author: John Snow Labs
+name: bert_book_genre_classification
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_book_genre_classification` is a English model originally trained by statworx.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_book_genre_classification_en_5.5.0_3.0_1726492846408.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_book_genre_classification_en_5.5.0_3.0_1726492846408.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_book_genre_classification|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/statworx/bert-book-genre-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-bert_cbisi_en.md b/docs/_posts/ahmedlone127/2024-09-16-bert_cbisi_en.md
new file mode 100644
index 00000000000000..8f9d1dee2943a9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-bert_cbisi_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_cbisi BertForSequenceClassification from AndersB3334
+author: John Snow Labs
+name: bert_cbisi
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_cbisi` is a English model originally trained by AndersB3334.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_cbisi_en_5.5.0_3.0_1726498625045.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_cbisi_en_5.5.0_3.0_1726498625045.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_cbisi|
+|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/AndersB3334/BERT-CBISI
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-bert_cbisi_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-bert_cbisi_pipeline_en.md
new file mode 100644
index 00000000000000..acbcefac6bce08
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-bert_cbisi_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_cbisi_pipeline pipeline BertForSequenceClassification from AndersB3334
+author: John Snow Labs
+name: bert_cbisi_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_cbisi_pipeline` is a English model originally trained by AndersB3334.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_cbisi_pipeline_en_5.5.0_3.0_1726498645665.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_cbisi_pipeline_en_5.5.0_3.0_1726498645665.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_cbisi_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_cbisi_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_cbisi_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/AndersB3334/BERT-CBISI
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-bert_leg_al_corpus_en.md b/docs/_posts/ahmedlone127/2024-09-16-bert_leg_al_corpus_en.md
new file mode 100644
index 00000000000000..57cbd5f3e53f9f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-bert_leg_al_corpus_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_leg_al_corpus RoBertaEmbeddings from desarrolloasesoreslocales
+author: John Snow Labs
+name: bert_leg_al_corpus
+date: 2024-09-16
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_leg_al_corpus` is a English model originally trained by desarrolloasesoreslocales.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_leg_al_corpus_en_5.5.0_3.0_1726513984974.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_leg_al_corpus_en_5.5.0_3.0_1726513984974.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_corpus|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|692.2 MB|
+
+## References
+
+https://huggingface.co/desarrolloasesoreslocales/bert-leg-al-corpus
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-bert_phishing_text_en.md b/docs/_posts/ahmedlone127/2024-09-16-bert_phishing_text_en.md
new file mode 100644
index 00000000000000..3c6b8b08f067de
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-bert_phishing_text_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bert_phishing_text BertForSequenceClassification from ealvaradob
+author: John Snow Labs
+name: bert_phishing_text
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_phishing_text` is a English model originally trained by ealvaradob.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_phishing_text_en_5.5.0_3.0_1726493439468.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_phishing_text_en_5.5.0_3.0_1726493439468.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_text|
+|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/ealvaradob/bert-phishing-text
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-bert_phishing_text_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-bert_phishing_text_pipeline_en.md
new file mode 100644
index 00000000000000..5714ab38312135
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-bert_phishing_text_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bert_phishing_text_pipeline pipeline BertForSequenceClassification from ealvaradob
+author: John Snow Labs
+name: bert_phishing_text_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_phishing_text_pipeline` is a English model originally trained by ealvaradob.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_phishing_text_pipeline_en_5.5.0_3.0_1726493498671.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_phishing_text_pipeline_en_5.5.0_3.0_1726493498671.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_phishing_text_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_phishing_text_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_phishing_text_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-phishing-text
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-berturk_128k_cased_immigration_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-berturk_128k_cased_immigration_pipeline_en.md
new file mode 100644
index 00000000000000..0aaca252339049
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-berturk_128k_cased_immigration_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English berturk_128k_cased_immigration_pipeline pipeline BertForSequenceClassification from AlkanCan
+author: John Snow Labs
+name: berturk_128k_cased_immigration_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`berturk_128k_cased_immigration_pipeline` is a English model originally trained by AlkanCan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/berturk_128k_cased_immigration_pipeline_en_5.5.0_3.0_1726462875433.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/berturk_128k_cased_immigration_pipeline_en_5.5.0_3.0_1726462875433.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("berturk_128k_cased_immigration_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("berturk_128k_cased_immigration_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|berturk_128k_cased_immigration_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|691.2 MB|
+
+## References
+
+https://huggingface.co/AlkanCan/BERTurk-128k-cased-immigration
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-bertweet_large_augmented_en.md b/docs/_posts/ahmedlone127/2024-09-16-bertweet_large_augmented_en.md
new file mode 100644
index 00000000000000..ad544ec242febf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-bertweet_large_augmented_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bertweet_large_augmented RoBertaForSequenceClassification from dvruette
+author: John Snow Labs
+name: bertweet_large_augmented
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bertweet_large_augmented` is a English model originally trained by dvruette.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertweet_large_augmented_en_5.5.0_3.0_1726527694729.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertweet_large_augmented_en_5.5.0_3.0_1726527694729.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertweet_large_augmented|
+|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/dvruette/bertweet-large_augmented
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-bertweet_large_augmented_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-bertweet_large_augmented_pipeline_en.md
new file mode 100644
index 00000000000000..f3e334faa65b05
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-bertweet_large_augmented_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bertweet_large_augmented_pipeline pipeline RoBertaForSequenceClassification from dvruette
+author: John Snow Labs
+name: bertweet_large_augmented_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bertweet_large_augmented_pipeline` is a English model originally trained by dvruette.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertweet_large_augmented_pipeline_en_5.5.0_3.0_1726527759609.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertweet_large_augmented_pipeline_en_5.5.0_3.0_1726527759609.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bertweet_large_augmented_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bertweet_large_augmented_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertweet_large_augmented_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/dvruette/bertweet-large_augmented
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-bertweet_large_epoch6_batch4_lr2e_05_w0_005_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-bertweet_large_epoch6_batch4_lr2e_05_w0_005_pipeline_en.md
new file mode 100644
index 00000000000000..11408c1902bf82
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-bertweet_large_epoch6_batch4_lr2e_05_w0_005_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English bertweet_large_epoch6_batch4_lr2e_05_w0_005_pipeline pipeline RoBertaForSequenceClassification from JerryYanJiang
+author: John Snow Labs
+name: bertweet_large_epoch6_batch4_lr2e_05_w0_005_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bertweet_large_epoch6_batch4_lr2e_05_w0_005_pipeline` is a English model originally trained by JerryYanJiang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bertweet_large_epoch6_batch4_lr2e_05_w0_005_pipeline_en_5.5.0_3.0_1726470327542.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bertweet_large_epoch6_batch4_lr2e_05_w0_005_pipeline_en_5.5.0_3.0_1726470327542.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bertweet_large_epoch6_batch4_lr2e_05_w0_005_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bertweet_large_epoch6_batch4_lr2e_05_w0_005_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bertweet_large_epoch6_batch4_lr2e_05_w0_005_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/bertweet-large_epoch6_batch4_lr2e-05_w0.005
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-bio_clinicalbert_for_seizurefreedom_classification_cnt_upenn_en.md b/docs/_posts/ahmedlone127/2024-09-16-bio_clinicalbert_for_seizurefreedom_classification_cnt_upenn_en.md
new file mode 100644
index 00000000000000..151a07c03c44f5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-bio_clinicalbert_for_seizurefreedom_classification_cnt_upenn_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English bio_clinicalbert_for_seizurefreedom_classification_cnt_upenn BertForSequenceClassification from CNT-UPenn
+author: John Snow Labs
+name: bio_clinicalbert_for_seizurefreedom_classification_cnt_upenn
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bio_clinicalbert_for_seizurefreedom_classification_cnt_upenn` is a English model originally trained by CNT-UPenn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bio_clinicalbert_for_seizurefreedom_classification_cnt_upenn_en_5.5.0_3.0_1726459913778.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bio_clinicalbert_for_seizurefreedom_classification_cnt_upenn_en_5.5.0_3.0_1726459913778.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bio_clinicalbert_for_seizurefreedom_classification_cnt_upenn|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|405.3 MB|
+
+## References
+
+https://huggingface.co/CNT-UPenn/Bio_ClinicalBERT_for_seizureFreedom_classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-biobert_qa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-biobert_qa_pipeline_en.md
new file mode 100644
index 00000000000000..e35ea97ee6919c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-biobert_qa_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English biobert_qa_pipeline pipeline BertForQuestionAnswering from hagara
+author: John Snow Labs
+name: biobert_qa_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biobert_qa_pipeline` is a English model originally trained by hagara.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biobert_qa_pipeline_en_5.5.0_3.0_1726511079245.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biobert_qa_pipeline_en_5.5.0_3.0_1726511079245.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("biobert_qa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("biobert_qa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biobert_qa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/hagara/biobert-qa
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-biolinkbert_mednli_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-biolinkbert_mednli_pipeline_en.md
new file mode 100644
index 00000000000000..79a490ad1ab593
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-biolinkbert_mednli_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English biolinkbert_mednli_pipeline pipeline BertForSequenceClassification from cnut1648
+author: John Snow Labs
+name: biolinkbert_mednli_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biolinkbert_mednli_pipeline` is a English model originally trained by cnut1648.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/biolinkbert_mednli_pipeline_en_5.5.0_3.0_1726459854969.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biolinkbert_mednli_pipeline_en_5.5.0_3.0_1726459854969.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("biolinkbert_mednli_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("biolinkbert_mednli_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|biolinkbert_mednli_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.2 GB|
+
+## References
+
+https://huggingface.co/cnut1648/biolinkbert-mednli
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-biomedroberta_finetuned_valid_testing_0_00005_32_en.md b/docs/_posts/ahmedlone127/2024-09-16-biomedroberta_finetuned_valid_testing_0_00005_32_en.md
new file mode 100644
index 00000000000000..8f35d4eb624ed5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-biomedroberta_finetuned_valid_testing_0_00005_32_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English biomedroberta_finetuned_valid_testing_0_00005_32 RoBertaForTokenClassification from pabRomero
+author: John Snow Labs
+name: biomedroberta_finetuned_valid_testing_0_00005_32
+date: 2024-09-16
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`biomedroberta_finetuned_valid_testing_0_00005_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_00005_32_en_5.5.0_3.0_1726452456854.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/biomedroberta_finetuned_valid_testing_0_00005_32_en_5.5.0_3.0_1726452456854.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_00005_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-0.00005-32
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-blueteam_baseline_en.md b/docs/_posts/ahmedlone127/2024-09-16-blueteam_baseline_en.md
new file mode 100644
index 00000000000000..107e82bf2e8db4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-blueteam_baseline_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English blueteam_baseline DistilBertForSequenceClassification from sbhatti2009
+author: John Snow Labs
+name: blueteam_baseline
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`blueteam_baseline` is a English model originally trained by sbhatti2009.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/blueteam_baseline_en_5.5.0_3.0_1726506123905.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/blueteam_baseline_en_5.5.0_3.0_1726506123905.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bmg_translation_lug_english_v4|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|513.4 MB|
+
+## References
+
+https://huggingface.co/atwine/bmg-translation-lug-en-v4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-boolq_paws_en1000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-boolq_paws_en1000_pipeline_en.md
new file mode 100644
index 00000000000000..4519112cb96eaa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-boolq_paws_en1000_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English boolq_paws_en1000_pipeline pipeline RoBertaForSequenceClassification from yeyejmm
+author: John Snow Labs
+name: boolq_paws_en1000_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`boolq_paws_en1000_pipeline` is a English model originally trained by yeyejmm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/boolq_paws_en1000_pipeline_en_5.5.0_3.0_1726527833489.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/boolq_paws_en1000_pipeline_en_5.5.0_3.0_1726527833489.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("boolq_paws_en1000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("boolq_paws_en1000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|boolq_paws_en1000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|460.1 MB|
+
+## References
+
+https://huggingface.co/yeyejmm/BoolQ-PAWS-en1000
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-bsc_bio_ehr_spanish_distemist_iic_es.md b/docs/_posts/ahmedlone127/2024-09-16-bsc_bio_ehr_spanish_distemist_iic_es.md
new file mode 100644
index 00000000000000..095329b2903178
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-bsc_bio_ehr_spanish_distemist_iic_es.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Castilian, Spanish bsc_bio_ehr_spanish_distemist_iic RoBertaForTokenClassification from IIC
+author: John Snow Labs
+name: bsc_bio_ehr_spanish_distemist_iic
+date: 2024-09-16
+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_distemist_iic` is a Castilian, Spanish model originally trained by IIC.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bsc_bio_ehr_spanish_distemist_iic_es_5.5.0_3.0_1726482353743.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bsc_bio_ehr_spanish_distemist_iic_es_5.5.0_3.0_1726482353743.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_socialdisner|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|es|
+|Size:|438.9 MB|
+
+## References
+
+https://huggingface.co/IIC/bsc-bio-ehr-es-socialdisner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-burmese_amazon_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-burmese_amazon_model_pipeline_en.md
new file mode 100644
index 00000000000000..95059f5ed6a7f8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-burmese_amazon_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English burmese_amazon_model_pipeline pipeline DistilBertForSequenceClassification from thaodao3101
+author: John Snow Labs
+name: burmese_amazon_model_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_amazon_model_pipeline` is a English model originally trained by thaodao3101.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_amazon_model_pipeline_en_5.5.0_3.0_1726506517588.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_amazon_model_pipeline_en_5.5.0_3.0_1726506517588.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_amazon_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_amazon_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_amazon_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/thaodao3101/my_amazon_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-burmese_awesome_model_dannielhcv_en.md b/docs/_posts/ahmedlone127/2024-09-16-burmese_awesome_model_dannielhcv_en.md
new file mode 100644
index 00000000000000..9fe8bbe5c06923
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-burmese_awesome_model_dannielhcv_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English burmese_awesome_model_dannielhcv DistilBertForSequenceClassification from dannielhcv
+author: John Snow Labs
+name: burmese_awesome_model_dannielhcv
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_model_dannielhcv` is a English model originally trained by dannielhcv.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_dannielhcv_en_5.5.0_3.0_1726506606331.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_model_dannielhcv_en_5.5.0_3.0_1726506606331.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_aanwar|
+|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/aanwar/my_awesome_qa_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-burmese_awesome_qa_model_dianechiang_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-burmese_awesome_qa_model_dianechiang_pipeline_en.md
new file mode 100644
index 00000000000000..a62c9a35338360
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-burmese_awesome_qa_model_dianechiang_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_dianechiang_pipeline pipeline DistilBertForQuestionAnswering from DianeChiang
+author: John Snow Labs
+name: burmese_awesome_qa_model_dianechiang_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_dianechiang_pipeline` is a English model originally trained by DianeChiang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_dianechiang_pipeline_en_5.5.0_3.0_1726515059347.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_dianechiang_pipeline_en_5.5.0_3.0_1726515059347.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_dianechiang_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_qa_model_dianechiang_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_dianechiang_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/DianeChiang/my_awesome_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-burmese_awesome_qa_model_janmayen_en.md b/docs/_posts/ahmedlone127/2024-09-16-burmese_awesome_qa_model_janmayen_en.md
new file mode 100644
index 00000000000000..63d8681b43dc61
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-burmese_awesome_qa_model_janmayen_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_janmayen DistilBertForQuestionAnswering from Janmayen
+author: John Snow Labs
+name: burmese_awesome_qa_model_janmayen
+date: 2024-09-16
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_janmayen` is a English model originally trained by Janmayen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_janmayen_en_5.5.0_3.0_1726469321937.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_janmayen_en_5.5.0_3.0_1726469321937.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_janmayen|
+|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/Janmayen/my_awesome_qa_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-burmese_awesome_qa_model_janmayen_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-burmese_awesome_qa_model_janmayen_pipeline_en.md
new file mode 100644
index 00000000000000..3ecc16b8168441
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-burmese_awesome_qa_model_janmayen_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_janmayen_pipeline pipeline DistilBertForQuestionAnswering from Janmayen
+author: John Snow Labs
+name: burmese_awesome_qa_model_janmayen_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_janmayen_pipeline` is a English model originally trained by Janmayen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_janmayen_pipeline_en_5.5.0_3.0_1726469333862.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_janmayen_pipeline_en_5.5.0_3.0_1726469333862.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_janmayen_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_qa_model_janmayen_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_janmayen_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Janmayen/my_awesome_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-burmese_awesome_qa_model_jomacgo_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-burmese_awesome_qa_model_jomacgo_pipeline_en.md
new file mode 100644
index 00000000000000..bd31397592c78c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-burmese_awesome_qa_model_jomacgo_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_jomacgo_pipeline pipeline DistilBertForQuestionAnswering from jomacgo
+author: John Snow Labs
+name: burmese_awesome_qa_model_jomacgo_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_jomacgo_pipeline` is a English model originally trained by jomacgo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_jomacgo_pipeline_en_5.5.0_3.0_1726469378078.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_jomacgo_pipeline_en_5.5.0_3.0_1726469378078.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_jomacgo_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_qa_model_jomacgo_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_jomacgo_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/jomacgo/my_awesome_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-burmese_awesome_qa_model_ravikolanpakaa_en.md b/docs/_posts/ahmedlone127/2024-09-16-burmese_awesome_qa_model_ravikolanpakaa_en.md
new file mode 100644
index 00000000000000..0637b9a9719aad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-burmese_awesome_qa_model_ravikolanpakaa_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_ravikolanpakaa RoBertaForQuestionAnswering from ravikolanpakaa
+author: John Snow Labs
+name: burmese_awesome_qa_model_ravikolanpakaa
+date: 2024-09-16
+tags: [en, open_source, onnx, question_answering, roberta]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_ravikolanpakaa` is a English model originally trained by ravikolanpakaa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_ravikolanpakaa_en_5.5.0_3.0_1726501874360.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_ravikolanpakaa_en_5.5.0_3.0_1726501874360.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_ravikolanpakaa|
+|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/ravikolanpakaa/my_awesome_qa_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-burmese_awesome_qa_model_ravikolanpakaa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-burmese_awesome_qa_model_ravikolanpakaa_pipeline_en.md
new file mode 100644
index 00000000000000..26427b1675f27e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-burmese_awesome_qa_model_ravikolanpakaa_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_ravikolanpakaa_pipeline pipeline RoBertaForQuestionAnswering from ravikolanpakaa
+author: John Snow Labs
+name: burmese_awesome_qa_model_ravikolanpakaa_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_ravikolanpakaa_pipeline` is a English model originally trained by ravikolanpakaa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_ravikolanpakaa_pipeline_en_5.5.0_3.0_1726501937061.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_ravikolanpakaa_pipeline_en_5.5.0_3.0_1726501937061.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_ravikolanpakaa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_qa_model_ravikolanpakaa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_ravikolanpakaa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/ravikolanpakaa/my_awesome_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-business_unit_model_en.md b/docs/_posts/ahmedlone127/2024-09-16-business_unit_model_en.md
new file mode 100644
index 00000000000000..5402eacc009c78
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-business_unit_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English business_unit_model BertForSequenceClassification from Unmand
+author: John Snow Labs
+name: business_unit_model
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`business_unit_model` is a English model originally trained by Unmand.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/business_unit_model_en_5.5.0_3.0_1726462981046.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/business_unit_model_en_5.5.0_3.0_1726462981046.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|business_unit_model|
+|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/Unmand/business_unit_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-cds_style_classifier_en.md b/docs/_posts/ahmedlone127/2024-09-16-cds_style_classifier_en.md
new file mode 100644
index 00000000000000..a61de219fb0fac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-cds_style_classifier_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English cds_style_classifier RoBertaForSequenceClassification from hallisky
+author: John Snow Labs
+name: cds_style_classifier
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cds_style_classifier` is a English model originally trained by hallisky.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cds_style_classifier_en_5.5.0_3.0_1726519215086.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cds_style_classifier_en_5.5.0_3.0_1726519215086.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cds_style_classifier|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/hallisky/cds_style_classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-cds_style_classifier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-cds_style_classifier_pipeline_en.md
new file mode 100644
index 00000000000000..84452801f2d2ee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-cds_style_classifier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English cds_style_classifier_pipeline pipeline RoBertaForSequenceClassification from hallisky
+author: John Snow Labs
+name: cds_style_classifier_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cds_style_classifier_pipeline` is a English model originally trained by hallisky.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cds_style_classifier_pipeline_en_5.5.0_3.0_1726519284808.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cds_style_classifier_pipeline_en_5.5.0_3.0_1726519284808.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cds_style_classifier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cds_style_classifier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cds_style_classifier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/hallisky/cds_style_classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-check_sec_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-check_sec_pipeline_en.md
new file mode 100644
index 00000000000000..74847a1a8f98a0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-check_sec_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English check_sec_pipeline pipeline BertForSequenceClassification from huolongguo10
+author: John Snow Labs
+name: check_sec_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`check_sec_pipeline` is a English model originally trained by huolongguo10.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/check_sec_pipeline_en_5.5.0_3.0_1726499223751.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/check_sec_pipeline_en_5.5.0_3.0_1726499223751.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("check_sec_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("check_sec_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|check_sec_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.4 MB|
+
+## References
+
+https://huggingface.co/huolongguo10/check_sec
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-cino_large_v2_tusa_en.md b/docs/_posts/ahmedlone127/2024-09-16-cino_large_v2_tusa_en.md
new file mode 100644
index 00000000000000..159cb3cc707281
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-cino_large_v2_tusa_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English cino_large_v2_tusa XlmRoBertaForSequenceClassification from UTibetNLP
+author: John Snow Labs
+name: cino_large_v2_tusa
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cino_large_v2_tusa` is a English model originally trained by UTibetNLP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cino_large_v2_tusa_en_5.5.0_3.0_1726516265634.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cino_large_v2_tusa_en_5.5.0_3.0_1726516265634.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cino_large_v2_tusa|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/UTibetNLP/cino-large-v2_TUSA
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-cino_large_v2_tusa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-cino_large_v2_tusa_pipeline_en.md
new file mode 100644
index 00000000000000..c99d1282fa6515
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-cino_large_v2_tusa_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English cino_large_v2_tusa_pipeline pipeline XlmRoBertaForSequenceClassification from UTibetNLP
+author: John Snow Labs
+name: cino_large_v2_tusa_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cino_large_v2_tusa_pipeline` is a English model originally trained by UTibetNLP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cino_large_v2_tusa_pipeline_en_5.5.0_3.0_1726516351451.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cino_large_v2_tusa_pipeline_en_5.5.0_3.0_1726516351451.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("cino_large_v2_tusa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("cino_large_v2_tusa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|cino_large_v2_tusa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/UTibetNLP/cino-large-v2_TUSA
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-climate_attitude_lm_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-climate_attitude_lm_pipeline_en.md
new file mode 100644
index 00000000000000..6c9a54285d5a2d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-climate_attitude_lm_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English climate_attitude_lm_pipeline pipeline RoBertaForSequenceClassification from KevSun
+author: John Snow Labs
+name: climate_attitude_lm_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`climate_attitude_lm_pipeline` is a English model originally trained by KevSun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/climate_attitude_lm_pipeline_en_5.5.0_3.0_1726455555791.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/climate_attitude_lm_pipeline_en_5.5.0_3.0_1726455555791.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("climate_attitude_lm_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("climate_attitude_lm_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|climate_attitude_lm_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/KevSun/climate-attitude-LM
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-code_human_ai_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-code_human_ai_pipeline_en.md
new file mode 100644
index 00000000000000..accad3e3fc6910
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-code_human_ai_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English code_human_ai_pipeline pipeline RoBertaForSequenceClassification from lebretou
+author: John Snow Labs
+name: code_human_ai_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`code_human_ai_pipeline` is a English model originally trained by lebretou.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/code_human_ai_pipeline_en_5.5.0_3.0_1726526936804.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/code_human_ai_pipeline_en_5.5.0_3.0_1726526936804.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("code_human_ai_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("code_human_ai_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|code_human_ai_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|458.6 MB|
+
+## References
+
+https://huggingface.co/lebretou/code-human-ai
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-code_search_codebert_base_3_random_trimmed_with_g_and_spaces_en.md b/docs/_posts/ahmedlone127/2024-09-16-code_search_codebert_base_3_random_trimmed_with_g_and_spaces_en.md
new file mode 100644
index 00000000000000..cb6614588fd085
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-code_search_codebert_base_3_random_trimmed_with_g_and_spaces_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English code_search_codebert_base_3_random_trimmed_with_g_and_spaces RoBertaForTokenClassification from DianaIulia
+author: John Snow Labs
+name: code_search_codebert_base_3_random_trimmed_with_g_and_spaces
+date: 2024-09-16
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`code_search_codebert_base_3_random_trimmed_with_g_and_spaces` is a English model originally trained by DianaIulia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/code_search_codebert_base_3_random_trimmed_with_g_and_spaces_en_5.5.0_3.0_1726530416307.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/code_search_codebert_base_3_random_trimmed_with_g_and_spaces_en_5.5.0_3.0_1726530416307.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|code_search_codebert_base_3_random_trimmed_with_g_and_spaces|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|466.1 MB|
+
+## References
+
+https://huggingface.co/DianaIulia/code_search_codebert_base_3_random_trimmed_with_g_and_spaces
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-code_search_codebert_base_3_random_trimmed_with_g_and_spaces_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-code_search_codebert_base_3_random_trimmed_with_g_and_spaces_pipeline_en.md
new file mode 100644
index 00000000000000..f7d48458adad60
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-code_search_codebert_base_3_random_trimmed_with_g_and_spaces_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English code_search_codebert_base_3_random_trimmed_with_g_and_spaces_pipeline pipeline RoBertaForTokenClassification from DianaIulia
+author: John Snow Labs
+name: code_search_codebert_base_3_random_trimmed_with_g_and_spaces_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`code_search_codebert_base_3_random_trimmed_with_g_and_spaces_pipeline` is a English model originally trained by DianaIulia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/code_search_codebert_base_3_random_trimmed_with_g_and_spaces_pipeline_en_5.5.0_3.0_1726530437783.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/code_search_codebert_base_3_random_trimmed_with_g_and_spaces_pipeline_en_5.5.0_3.0_1726530437783.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("code_search_codebert_base_3_random_trimmed_with_g_and_spaces_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("code_search_codebert_base_3_random_trimmed_with_g_and_spaces_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|code_search_codebert_base_3_random_trimmed_with_g_and_spaces_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.2 MB|
+
+## References
+
+https://huggingface.co/DianaIulia/code_search_codebert_base_3_random_trimmed_with_g_and_spaces
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-cold_fusion_finetuned_sufficiency_dagstuhl_en.md b/docs/_posts/ahmedlone127/2024-09-16-cold_fusion_finetuned_sufficiency_dagstuhl_en.md
new file mode 100644
index 00000000000000..7497e6ac7bb32e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-cold_fusion_finetuned_sufficiency_dagstuhl_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English cold_fusion_finetuned_sufficiency_dagstuhl RoBertaForSequenceClassification from jakub014
+author: John Snow Labs
+name: cold_fusion_finetuned_sufficiency_dagstuhl
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`cold_fusion_finetuned_sufficiency_dagstuhl` is a English model originally trained by jakub014.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/cold_fusion_finetuned_sufficiency_dagstuhl_en_5.5.0_3.0_1726527052250.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/cold_fusion_finetuned_sufficiency_dagstuhl_en_5.5.0_3.0_1726527052250.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_finetuned_sufficiency_dagstuhl|
+|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/jakub014/ColD-Fusion-finetuned-sufficiency-dagstuhl
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-custserviceclassifier_en.md b/docs/_posts/ahmedlone127/2024-09-16-custserviceclassifier_en.md
new file mode 100644
index 00000000000000..ac4d46dce2723e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-custserviceclassifier_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English custserviceclassifier DistilBertForSequenceClassification from jonmanly
+author: John Snow Labs
+name: custserviceclassifier
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`custserviceclassifier` is a English model originally trained by jonmanly.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/custserviceclassifier_en_5.5.0_3.0_1726506282163.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/custserviceclassifier_en_5.5.0_3.0_1726506282163.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dataequity_opus_maltese_spanish_english|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|539.4 MB|
+
+## References
+
+https://huggingface.co/dataequity/dataequity-opus-mt-es-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-dataequity_opus_maltese_spanish_english_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-dataequity_opus_maltese_spanish_english_pipeline_en.md
new file mode 100644
index 00000000000000..adca5c95f0edbc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-dataequity_opus_maltese_spanish_english_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English dataequity_opus_maltese_spanish_english_pipeline pipeline MarianTransformer from dataequity
+author: John Snow Labs
+name: dataequity_opus_maltese_spanish_english_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dataequity_opus_maltese_spanish_english_pipeline` is a English model originally trained by dataequity.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dataequity_opus_maltese_spanish_english_pipeline_en_5.5.0_3.0_1726503540774.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dataequity_opus_maltese_spanish_english_pipeline_en_5.5.0_3.0_1726503540774.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dataequity_opus_maltese_spanish_english_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dataequity_opus_maltese_spanish_english_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dataequity_opus_maltese_spanish_english_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|539.9 MB|
+
+## References
+
+https://huggingface.co/dataequity/dataequity-opus-mt-es-en
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-deep_3_en.md b/docs/_posts/ahmedlone127/2024-09-16-deep_3_en.md
new file mode 100644
index 00000000000000..d9535b2db7d537
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-deep_3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English deep_3 RoBertaForSequenceClassification from BaronSch
+author: John Snow Labs
+name: deep_3
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deep_3` is a English model originally trained by BaronSch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deep_3_en_5.5.0_3.0_1726504686271.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deep_3_en_5.5.0_3.0_1726504686271.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deep_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/Deep_3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-deep_3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-deep_3_pipeline_en.md
new file mode 100644
index 00000000000000..b7a4732c242363
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-deep_3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English deep_3_pipeline pipeline RoBertaForSequenceClassification from BaronSch
+author: John Snow Labs
+name: deep_3_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`deep_3_pipeline` is a English model originally trained by BaronSch.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/deep_3_pipeline_en_5.5.0_3.0_1726504707677.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/deep_3_pipeline_en_5.5.0_3.0_1726504707677.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("deep_3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("deep_3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|deep_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/Deep_3
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-definition_classification_v1_en.md b/docs/_posts/ahmedlone127/2024-09-16-definition_classification_v1_en.md
new file mode 100644
index 00000000000000..c840e427409e7d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-definition_classification_v1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English definition_classification_v1 RoBertaForSequenceClassification from luisespinosa
+author: John Snow Labs
+name: definition_classification_v1
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`definition_classification_v1` is a English model originally trained by luisespinosa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/definition_classification_v1_en_5.5.0_3.0_1726455174860.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/definition_classification_v1_en_5.5.0_3.0_1726455174860.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|definition_classification_v1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|418.6 MB|
+
+## References
+
+https://huggingface.co/luisespinosa/definition-classification-v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distibert_finetuned_arxiv_multi_label_en.md b/docs/_posts/ahmedlone127/2024-09-16-distibert_finetuned_arxiv_multi_label_en.md
new file mode 100644
index 00000000000000..8c05d1884e87e3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distibert_finetuned_arxiv_multi_label_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distibert_finetuned_arxiv_multi_label DistilBertForSequenceClassification from Hatoun
+author: John Snow Labs
+name: distibert_finetuned_arxiv_multi_label
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distibert_finetuned_arxiv_multi_label` is a English model originally trained by Hatoun.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distibert_finetuned_arxiv_multi_label_en_5.5.0_3.0_1726506889464.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distibert_finetuned_arxiv_multi_label_en_5.5.0_3.0_1726506889464.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distibert_finetuned_arxiv_multi_label|
+|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/Hatoun/DistiBERT-finetuned-arxiv-multi-label
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_1k_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_1k_en.md
new file mode 100644
index 00000000000000..c33ba0a8d0a006
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_1k_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_1k DistilBertForSequenceClassification from addykan
+author: John Snow Labs
+name: distilbert_1k
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_1k` is a English model originally trained by addykan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_1k_en_5.5.0_3.0_1726506612217.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_1k_en_5.5.0_3.0_1726506612217.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_akshit_g|
+|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/akshit-g/distilbert-base-cased
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_cased_akshit_g_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_cased_akshit_g_pipeline_en.md
new file mode 100644
index 00000000000000..831012851be5d2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_cased_akshit_g_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_cased_akshit_g_pipeline pipeline BertForQuestionAnswering from akshit-g
+author: John Snow Labs
+name: distilbert_base_cased_akshit_g_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_akshit_g_pipeline` is a English model originally trained by akshit-g.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_akshit_g_pipeline_en_5.5.0_3.0_1726507938137.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_akshit_g_pipeline_en_5.5.0_3.0_1726507938137.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_cased_akshit_g_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_cased_akshit_g_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_akshit_g_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|403.7 MB|
+
+## References
+
+https://huggingface.co/akshit-g/distilbert-base-cased
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_cased_distilled_squad_lora_merged_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_cased_distilled_squad_lora_merged_en.md
new file mode 100644
index 00000000000000..1282d7bd381d3a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_cased_distilled_squad_lora_merged_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_cased_distilled_squad_lora_merged DistilBertForQuestionAnswering from JeukHwang
+author: John Snow Labs
+name: distilbert_base_cased_distilled_squad_lora_merged
+date: 2024-09-16
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_distilled_squad_lora_merged` is a English model originally trained by JeukHwang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_distilled_squad_lora_merged_en_5.5.0_3.0_1726515444140.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_distilled_squad_lora_merged_en_5.5.0_3.0_1726515444140.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_distilled_squad_lora_merged|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|154.8 MB|
+
+## References
+
+https://huggingface.co/JeukHwang/distilbert-base-cased-distilled-squad-lora-merged
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_cased_distilled_squad_lora_merged_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_cased_distilled_squad_lora_merged_pipeline_en.md
new file mode 100644
index 00000000000000..1ebab0e1ea06f4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_cased_distilled_squad_lora_merged_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_cased_distilled_squad_lora_merged_pipeline pipeline DistilBertForQuestionAnswering from JeukHwang
+author: John Snow Labs
+name: distilbert_base_cased_distilled_squad_lora_merged_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_distilled_squad_lora_merged_pipeline` is a English model originally trained by JeukHwang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_distilled_squad_lora_merged_pipeline_en_5.5.0_3.0_1726515491291.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_distilled_squad_lora_merged_pipeline_en_5.5.0_3.0_1726515491291.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_cased_distilled_squad_lora_merged_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_cased_distilled_squad_lora_merged_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_distilled_squad_lora_merged_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|154.8 MB|
+
+## References
+
+https://huggingface.co/JeukHwang/distilbert-base-cased-distilled-squad-lora-merged
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_cased_qa_mash_covid_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_cased_qa_mash_covid_en.md
new file mode 100644
index 00000000000000..a40a3c3f3472cb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_cased_qa_mash_covid_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_cased_qa_mash_covid DistilBertForQuestionAnswering from Eurosmart
+author: John Snow Labs
+name: distilbert_base_cased_qa_mash_covid
+date: 2024-09-16
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_cased_qa_mash_covid` is a English model originally trained by Eurosmart.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_qa_mash_covid_en_5.5.0_3.0_1726515418287.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_cased_qa_mash_covid_en_5.5.0_3.0_1726515418287.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_qa_mash_covid|
+|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/Eurosmart/distilbert-base-cased-qa-mash-covid
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_ccon_mypersonality_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_ccon_mypersonality_en.md
new file mode 100644
index 00000000000000..b1e7370d423949
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_ccon_mypersonality_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_ccon_mypersonality DistilBertForSequenceClassification from holistic-ai
+author: John Snow Labs
+name: distilbert_base_uncased_ccon_mypersonality
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_ccon_mypersonality` is a English model originally trained by holistic-ai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_ccon_mypersonality_en_5.5.0_3.0_1726525719008.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_ccon_mypersonality_en_5.5.0_3.0_1726525719008.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_ccon_mypersonality|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/holistic-ai/distilbert-base-uncased_cCON_mypersonality
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_detect_ai_generated_text_lau123_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_detect_ai_generated_text_lau123_en.md
new file mode 100644
index 00000000000000..c2300ac90057cc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_detect_ai_generated_text_lau123_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_detect_ai_generated_text_lau123 DistilBertForSequenceClassification from Lau123
+author: John Snow Labs
+name: distilbert_base_uncased_detect_ai_generated_text_lau123
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_detect_ai_generated_text_lau123` is a English model originally trained by Lau123.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_detect_ai_generated_text_lau123_en_5.5.0_3.0_1726525684469.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_detect_ai_generated_text_lau123_en_5.5.0_3.0_1726525684469.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_detect_ai_generated_text_lau123|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Lau123/distilbert-base-uncased-detect_ai_generated_text
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_distilled_clinc_jeongyeom_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_distilled_clinc_jeongyeom_en.md
new file mode 100644
index 00000000000000..2d29924c4044b9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_distilled_clinc_jeongyeom_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_distilled_clinc_jeongyeom DistilBertForSequenceClassification from jeongyeom
+author: John Snow Labs
+name: distilbert_base_uncased_distilled_clinc_jeongyeom
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_clinc_jeongyeom` is a English model originally trained by jeongyeom.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_jeongyeom_en_5.5.0_3.0_1726525576716.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_clinc_jeongyeom_en_5.5.0_3.0_1726525576716.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_distilled_squad_geerath|
+|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/Geerath/distilbert-base-uncased-distilled-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_distilled_squad_geerath_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_distilled_squad_geerath_pipeline_en.md
new file mode 100644
index 00000000000000..b6f91c909d547b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_distilled_squad_geerath_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_distilled_squad_geerath_pipeline pipeline DistilBertForQuestionAnswering from Geerath
+author: John Snow Labs
+name: distilbert_base_uncased_distilled_squad_geerath_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_distilled_squad_geerath_pipeline` is a English model originally trained by Geerath.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_squad_geerath_pipeline_en_5.5.0_3.0_1726469549231.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_distilled_squad_geerath_pipeline_en_5.5.0_3.0_1726469549231.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_base_uncased_distilled_squad_geerath_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_distilled_squad_geerath_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_distilled_squad_geerath_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Geerath/distilbert-base-uncased-distilled-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_bioasq_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_bioasq_en.md
new file mode 100644
index 00000000000000..8bc0299d9be452
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_bioasq_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_bioasq DistilBertForQuestionAnswering from jkhsong
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_bioasq
+date: 2024-09-16
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_bioasq` is a English model originally trained by jkhsong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_bioasq_en_5.5.0_3.0_1726469379373.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_bioasq_en_5.5.0_3.0_1726469379373.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_bioasq|
+|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/jkhsong/distilbert-base-uncased-finetuned-bioasq
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_bioasq_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_bioasq_pipeline_en.md
new file mode 100644
index 00000000000000..5f8978f262d71a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_bioasq_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_bioasq_pipeline pipeline DistilBertForQuestionAnswering from jkhsong
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_bioasq_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_bioasq_pipeline` is a English model originally trained by jkhsong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_bioasq_pipeline_en_5.5.0_3.0_1726469391203.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_bioasq_pipeline_en_5.5.0_3.0_1726469391203.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_bioasq_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_bioasq_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_bioasq_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/jkhsong/distilbert-base-uncased-finetuned-bioasq
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_emotion_holymorphsim_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_emotion_holymorphsim_en.md
new file mode 100644
index 00000000000000..ad162a20740c46
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_emotion_holymorphsim_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_holymorphsim DistilBertForSequenceClassification from HolyMorphsim
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_holymorphsim
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_holymorphsim` is a English model originally trained by HolyMorphsim.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_holymorphsim_en_5.5.0_3.0_1726506303988.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_holymorphsim_en_5.5.0_3.0_1726506303988.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_holymorphsim|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/HolyMorphsim/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_emotion_holymorphsim_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_emotion_holymorphsim_pipeline_en.md
new file mode 100644
index 00000000000000..b44075a12cb8d7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_emotion_holymorphsim_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_holymorphsim_pipeline pipeline DistilBertForSequenceClassification from HolyMorphsim
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_holymorphsim_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_holymorphsim_pipeline` is a English model originally trained by HolyMorphsim.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_holymorphsim_pipeline_en_5.5.0_3.0_1726506315672.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_holymorphsim_pipeline_en_5.5.0_3.0_1726506315672.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_holymorphsim_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_holymorphsim_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_holymorphsim_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/HolyMorphsim/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_emotion_ka_zu08181_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_emotion_ka_zu08181_pipeline_en.md
new file mode 100644
index 00000000000000..3cfdca8bdbdb53
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_emotion_ka_zu08181_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_ka_zu08181_pipeline pipeline DistilBertForSequenceClassification from ka-zu08181
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_ka_zu08181_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_ka_zu08181_pipeline` is a English model originally trained by ka-zu08181.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ka_zu08181_pipeline_en_5.5.0_3.0_1726506511385.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_ka_zu08181_pipeline_en_5.5.0_3.0_1726506511385.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_ka_zu08181_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_ka_zu08181_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_ka_zu08181_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ka-zu08181/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_emotion_kcwong168_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_emotion_kcwong168_en.md
new file mode 100644
index 00000000000000..eaf94dedc57e16
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_emotion_kcwong168_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_kcwong168 DistilBertForSequenceClassification from KCWONG168
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_kcwong168
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_kcwong168` is a English model originally trained by KCWONG168.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kcwong168_en_5.5.0_3.0_1726506697259.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kcwong168_en_5.5.0_3.0_1726506697259.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_kcwong168|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/KCWONG168/distilbert-base-uncased-finetuned-emotion
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_emotion_kcwong168_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_emotion_kcwong168_pipeline_en.md
new file mode 100644
index 00000000000000..553accb43a9f1d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_emotion_kcwong168_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_kcwong168_pipeline pipeline DistilBertForSequenceClassification from KCWONG168
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_kcwong168_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_kcwong168_pipeline` is a English model originally trained by KCWONG168.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kcwong168_pipeline_en_5.5.0_3.0_1726506709248.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_kcwong168_pipeline_en_5.5.0_3.0_1726506709248.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_kcwong168_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_kcwong168_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_kcwong168_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/KCWONG168/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_emotion_wickelman_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_emotion_wickelman_pipeline_en.md
new file mode 100644
index 00000000000000..8792d099412d08
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_emotion_wickelman_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_emotion_wickelman_pipeline pipeline DistilBertForSequenceClassification from Wickelman
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_emotion_wickelman_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_emotion_wickelman_pipeline` is a English model originally trained by Wickelman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_wickelman_pipeline_en_5.5.0_3.0_1726506192841.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_emotion_wickelman_pipeline_en_5.5.0_3.0_1726506192841.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_wickelman_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_emotion_wickelman_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_emotion_wickelman_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Wickelman/distilbert-base-uncased-finetuned-emotion
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_d5716d28_guoguo_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_d5716d28_guoguo_pipeline_en.md
new file mode 100644
index 00000000000000..26d05b7ff5d822
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_d5716d28_guoguo_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_d5716d28_guoguo_pipeline pipeline DistilBertForQuestionAnswering from guoguo
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_d5716d28_guoguo_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_d5716d28_guoguo_pipeline` is a English model originally trained by guoguo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_d5716d28_guoguo_pipeline_en_5.5.0_3.0_1726469502921.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_guoguo_pipeline_en_5.5.0_3.0_1726469502921.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_guoguo_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_d5716d28_guoguo_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_d5716d28_guoguo_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/guoguo/distilbert-base-uncased-finetuned-squad-d5716d28
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_d5716d28_sayaendo_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_d5716d28_sayaendo_en.md
new file mode 100644
index 00000000000000..a2eb99703409b2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_d5716d28_sayaendo_en.md
@@ -0,0 +1,92 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_d5716d28_sayaendo DistilBertEmbeddings from SayaEndo
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_d5716d28_sayaendo
+date: 2024-09-16
+tags: [distilbert, en, open_source, fill_mask, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_d5716d28_sayaendo` is a English model originally trained by SayaEndo.
+
+## Predicted Entities
+
+
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_d5716d28_sayaendo_en_5.5.0_3.0_1726469338345.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_sayaendo_en_5.5.0_3.0_1726469338345.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_hyounguk|
+|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/Hyounguk/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_markr23_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_markr23_pipeline_en.md
new file mode 100644
index 00000000000000..b6021795a1b177
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_markr23_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_markr23_pipeline pipeline DistilBertForQuestionAnswering from markr23
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_markr23_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_markr23_pipeline` is a English model originally trained by markr23.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_markr23_pipeline_en_5.5.0_3.0_1726469686163.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_markr23_pipeline_en_5.5.0_3.0_1726469686163.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_markr23_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_markr23_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_markr23_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/markr23/distilbert-base-uncased-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_riaraju_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_riaraju_en.md
new file mode 100644
index 00000000000000..6c93024fe56b0a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_riaraju_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_riaraju DistilBertForQuestionAnswering from riaraju
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_riaraju
+date: 2024-09-16
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_riaraju` is a English model originally trained by riaraju.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_riaraju_en_5.5.0_3.0_1726515128375.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_riaraju_en_5.5.0_3.0_1726515128375.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_russelltodd|
+|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/russelltodd/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_russelltodd_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_russelltodd_pipeline_en.md
new file mode 100644
index 00000000000000..5dfe3b622a2e2f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_russelltodd_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_russelltodd_pipeline pipeline DistilBertForQuestionAnswering from russelltodd
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_russelltodd_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_russelltodd_pipeline` is a English model originally trained by russelltodd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_russelltodd_pipeline_en_5.5.0_3.0_1726515216250.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_russelltodd_pipeline_en_5.5.0_3.0_1726515216250.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_russelltodd_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_russelltodd_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_russelltodd_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/russelltodd/distilbert-base-uncased-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_sm750s_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_sm750s_en.md
new file mode 100644
index 00000000000000..28b673e2c791ea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_sm750s_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_sm750s DistilBertForQuestionAnswering from sm750s
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_sm750s
+date: 2024-09-16
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_sm750s` is a English model originally trained by sm750s.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_sm750s_en_5.5.0_3.0_1726469242539.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_sm750s_en_5.5.0_3.0_1726469242539.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_suthanhcong|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/suthanhcong/distilbert-base-uncased-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_v2_hcy5561_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_v2_hcy5561_pipeline_en.md
new file mode 100644
index 00000000000000..1b3fcc2a807746
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_v2_hcy5561_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_v2_hcy5561_pipeline pipeline DistilBertForQuestionAnswering from hcy5561
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_v2_hcy5561_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_v2_hcy5561_pipeline` is a English model originally trained by hcy5561.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_v2_hcy5561_pipeline_en_5.5.0_3.0_1726469296850.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_v2_hcy5561_pipeline_en_5.5.0_3.0_1726469296850.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_v2_hcy5561_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_v2_hcy5561_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_v2_hcy5561_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/hcy5561/distilbert-base-uncased-finetuned-squad_v2
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_vijmeister_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_vijmeister_pipeline_en.md
new file mode 100644
index 00000000000000..2b15fe8d29f7ff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squad_vijmeister_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_vijmeister_pipeline pipeline DistilBertForQuestionAnswering from vijmeister
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_vijmeister_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_vijmeister_pipeline` is a English model originally trained by vijmeister.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_vijmeister_pipeline_en_5.5.0_3.0_1726469577774.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_vijmeister_pipeline_en_5.5.0_3.0_1726469577774.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_vijmeister_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_vijmeister_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_vijmeister_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/vijmeister/distilbert-base-uncased-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squard_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squard_v2_pipeline_en.md
new file mode 100644
index 00000000000000..3592b68cf85cd6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_squard_v2_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squard_v2_pipeline pipeline DistilBertForQuestionAnswering from laanhtu
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squard_v2_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squard_v2_pipeline` is a English model originally trained by laanhtu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squard_v2_pipeline_en_5.5.0_3.0_1726469545467.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squard_v2_pipeline_en_5.5.0_3.0_1726469545467.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_squard_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squard_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squard_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/laanhtu/distilbert-base-uncased-finetuned-squard_v2
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_the_fire_flower_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_the_fire_flower_pipeline_en.md
new file mode 100644
index 00000000000000..6e31704ef73f9c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_finetuned_the_fire_flower_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_the_fire_flower_pipeline pipeline BertEmbeddings from miggwp
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_the_fire_flower_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_the_fire_flower_pipeline` is a English model originally trained by miggwp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_the_fire_flower_pipeline_en_5.5.0_3.0_1726472212163.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_the_fire_flower_pipeline_en_5.5.0_3.0_1726472212163.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_the_fire_flower_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_the_fire_flower_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_the_fire_flower_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/miggwp/distilbert-base-uncased-finetuned-the-fire-flower
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_odm_zphr_0st30sd_ut72ut1_plprefix0stlarge30_simsp_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_odm_zphr_0st30sd_ut72ut1_plprefix0stlarge30_simsp_en.md
new file mode 100644
index 00000000000000..468688f5f4b6a4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_odm_zphr_0st30sd_ut72ut1_plprefix0stlarge30_simsp_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_odm_zphr_0st30sd_ut72ut1_plprefix0stlarge30_simsp DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_odm_zphr_0st30sd_ut72ut1_plprefix0stlarge30_simsp
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_odm_zphr_0st30sd_ut72ut1_plprefix0stlarge30_simsp` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st30sd_ut72ut1_plprefix0stlarge30_simsp_en_5.5.0_3.0_1726506124039.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_odm_zphr_0st30sd_ut72ut1_plprefix0stlarge30_simsp_en_5.5.0_3.0_1726506124039.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_p55|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|177.7 MB|
+
+## References
+
+https://huggingface.co/pminha/distilbert-base-uncased-squad2-p55
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_utility_zphr_0st_ut12ut1_plain_simsp_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_utility_zphr_0st_ut12ut1_plain_simsp_en.md
new file mode 100644
index 00000000000000..b737c8c6c444de
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_base_uncased_utility_zphr_0st_ut12ut1_plain_simsp_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_base_uncased_utility_zphr_0st_ut12ut1_plain_simsp DistilBertForSequenceClassification from tom192180
+author: John Snow Labs
+name: distilbert_base_uncased_utility_zphr_0st_ut12ut1_plain_simsp
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_utility_zphr_0st_ut12ut1_plain_simsp` is a English model originally trained by tom192180.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_utility_zphr_0st_ut12ut1_plain_simsp_en_5.5.0_3.0_1726506614028.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_utility_zphr_0st_ut12ut1_plain_simsp_en_5.5.0_3.0_1726506614028.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_ledai0913|
+|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/ledai0913/distilbert-finetuned-squadv2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_finetuned_squadv2_ledai0913_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_finetuned_squadv2_ledai0913_pipeline_en.md
new file mode 100644
index 00000000000000..f9568791ba9e29
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_finetuned_squadv2_ledai0913_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_finetuned_squadv2_ledai0913_pipeline pipeline DistilBertForQuestionAnswering from ledai0913
+author: John Snow Labs
+name: distilbert_finetuned_squadv2_ledai0913_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_squadv2_ledai0913_pipeline` is a English model originally trained by ledai0913.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_squadv2_ledai0913_pipeline_en_5.5.0_3.0_1726469668168.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_squadv2_ledai0913_pipeline_en_5.5.0_3.0_1726469668168.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_finetuned_squadv2_ledai0913_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_finetuned_squadv2_ledai0913_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_squadv2_ledai0913_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/ledai0913/distilbert-finetuned-squadv2
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_finetuned_squadv2_tienhuynh_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_finetuned_squadv2_tienhuynh_en.md
new file mode 100644
index 00000000000000..26e785889c64a3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_finetuned_squadv2_tienhuynh_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_finetuned_squadv2_tienhuynh DistilBertForQuestionAnswering from tienhuynh
+author: John Snow Labs
+name: distilbert_finetuned_squadv2_tienhuynh
+date: 2024-09-16
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_squadv2_tienhuynh` is a English model originally trained by tienhuynh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_squadv2_tienhuynh_en_5.5.0_3.0_1726469742244.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_squadv2_tienhuynh_en_5.5.0_3.0_1726469742244.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_tienhuynh|
+|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/tienhuynh/distilbert-finetuned-squadv2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_finetuned_squadv2_winvswon78_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_finetuned_squadv2_winvswon78_pipeline_en.md
new file mode 100644
index 00000000000000..b593f2451d4b48
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_finetuned_squadv2_winvswon78_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_finetuned_squadv2_winvswon78_pipeline pipeline DistilBertForQuestionAnswering from winvswon78
+author: John Snow Labs
+name: distilbert_finetuned_squadv2_winvswon78_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_finetuned_squadv2_winvswon78_pipeline` is a English model originally trained by winvswon78.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_squadv2_winvswon78_pipeline_en_5.5.0_3.0_1726469637747.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_finetuned_squadv2_winvswon78_pipeline_en_5.5.0_3.0_1726469637747.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_finetuned_squadv2_winvswon78_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_finetuned_squadv2_winvswon78_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_finetuned_squadv2_winvswon78_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/winvswon78/distilbert-finetuned-squadv2
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_portuguese_optim_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_portuguese_optim_en.md
new file mode 100644
index 00000000000000..f4972fe22c05aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_portuguese_optim_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English distilbert_portuguese_optim DistilBertForQuestionAnswering from tyavika
+author: John Snow Labs
+name: distilbert_portuguese_optim
+date: 2024-09-16
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_portuguese_optim` is a English model originally trained by tyavika.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_portuguese_optim_en_5.5.0_3.0_1726469630693.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_portuguese_optim_en_5.5.0_3.0_1726469630693.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_portuguese_optim|
+|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/tyavika/DistilBERT-Pt-optim
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_portuguese_optim_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_portuguese_optim_pipeline_en.md
new file mode 100644
index 00000000000000..710316d15fcc88
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_portuguese_optim_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_portuguese_optim_pipeline pipeline DistilBertForQuestionAnswering from tyavika
+author: John Snow Labs
+name: distilbert_portuguese_optim_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_portuguese_optim_pipeline` is a English model originally trained by tyavika.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_portuguese_optim_pipeline_en_5.5.0_3.0_1726469642361.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_portuguese_optim_pipeline_en_5.5.0_3.0_1726469642361.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_portuguese_optim_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_portuguese_optim_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_portuguese_optim_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/tyavika/DistilBERT-Pt-optim
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_sanskrit_saskta_glue_experiment_logit_kd_qnli_192_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_sanskrit_saskta_glue_experiment_logit_kd_qnli_192_en.md
new file mode 100644
index 00000000000000..bc678a8c4ca6d4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_sanskrit_saskta_glue_experiment_logit_kd_qnli_192_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilbert_sanskrit_saskta_glue_experiment_logit_kd_qnli_192 DistilBertForSequenceClassification from gokuls
+author: John Snow Labs
+name: distilbert_sanskrit_saskta_glue_experiment_logit_kd_qnli_192
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_sanskrit_saskta_glue_experiment_logit_kd_qnli_192` is a English model originally trained by gokuls.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_qnli_192_en_5.5.0_3.0_1726525723552.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_sanskrit_saskta_glue_experiment_logit_kd_qnli_192_en_5.5.0_3.0_1726525723552.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_qnli_192|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|52.7 MB|
+
+## References
+
+https://huggingface.co/gokuls/distilbert_sa_GLUE_Experiment_logit_kd_qnli_192
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilbert_turkish_turkish_movie_reviews_pipeline_tr.md b/docs/_posts/ahmedlone127/2024-09-16-distilbert_turkish_turkish_movie_reviews_pipeline_tr.md
new file mode 100644
index 00000000000000..b1b242edd6048d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilbert_turkish_turkish_movie_reviews_pipeline_tr.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Turkish distilbert_turkish_turkish_movie_reviews_pipeline pipeline DistilBertForSequenceClassification from anilguven
+author: John Snow Labs
+name: distilbert_turkish_turkish_movie_reviews_pipeline
+date: 2024-09-16
+tags: [tr, open_source, pipeline, onnx]
+task: Text Classification
+language: tr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_turkish_turkish_movie_reviews_pipeline` is a Turkish model originally trained by anilguven.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_turkish_turkish_movie_reviews_pipeline_tr_5.5.0_3.0_1726525480317.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_turkish_turkish_movie_reviews_pipeline_tr_5.5.0_3.0_1726525480317.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilbert_turkish_turkish_movie_reviews_pipeline", lang = "tr")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_turkish_turkish_movie_reviews_pipeline", lang = "tr")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_turkish_turkish_movie_reviews_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|tr|
+|Size:|254.1 MB|
+
+## References
+
+https://huggingface.co/anilguven/distilbert_tr_turkish_movie_reviews
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distillbert_for_rhetorical_rolelabeling_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-distillbert_for_rhetorical_rolelabeling_pipeline_en.md
new file mode 100644
index 00000000000000..24eea8961917af
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distillbert_for_rhetorical_rolelabeling_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distillbert_for_rhetorical_rolelabeling_pipeline pipeline DistilBertForSequenceClassification from engineersaloni159
+author: John Snow Labs
+name: distillbert_for_rhetorical_rolelabeling_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distillbert_for_rhetorical_rolelabeling_pipeline` is a English model originally trained by engineersaloni159.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distillbert_for_rhetorical_rolelabeling_pipeline_en_5.5.0_3.0_1726506184738.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distillbert_for_rhetorical_rolelabeling_pipeline_en_5.5.0_3.0_1726506184738.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distillbert_for_rhetorical_rolelabeling_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distillbert_for_rhetorical_rolelabeling_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distillbert_for_rhetorical_rolelabeling_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/engineersaloni159/DistillBERT_for_rhetorical_rolelabeling
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilroberta_base_mic_nlp_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilroberta_base_mic_nlp_en.md
new file mode 100644
index 00000000000000..ce1b6c3a5db93a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilroberta_base_mic_nlp_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilroberta_base_mic_nlp RoBertaForSequenceClassification from agi-css
+author: John Snow Labs
+name: distilroberta_base_mic_nlp
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_mic_nlp` is a English model originally trained by agi-css.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_mic_nlp_en_5.5.0_3.0_1726518816618.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_mic_nlp_en_5.5.0_3.0_1726518816618.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_mic_nlp|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|309.0 MB|
+
+## References
+
+https://huggingface.co/agi-css/distilroberta-base-mic-nlp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilroberta_base_mic_nlp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilroberta_base_mic_nlp_pipeline_en.md
new file mode 100644
index 00000000000000..16735a2f62b1c3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilroberta_base_mic_nlp_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilroberta_base_mic_nlp_pipeline pipeline RoBertaForSequenceClassification from agi-css
+author: John Snow Labs
+name: distilroberta_base_mic_nlp_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_mic_nlp_pipeline` is a English model originally trained by agi-css.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_mic_nlp_pipeline_en_5.5.0_3.0_1726518832102.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_mic_nlp_pipeline_en_5.5.0_3.0_1726518832102.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilroberta_base_mic_nlp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilroberta_base_mic_nlp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_mic_nlp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|309.1 MB|
+
+## References
+
+https://huggingface.co/agi-css/distilroberta-base-mic-nlp
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilroberta_base_mrpc_glue_santi_cinotti_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilroberta_base_mrpc_glue_santi_cinotti_en.md
new file mode 100644
index 00000000000000..7f3524ec0002e4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilroberta_base_mrpc_glue_santi_cinotti_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilroberta_base_mrpc_glue_santi_cinotti RoBertaForSequenceClassification from Santici
+author: John Snow Labs
+name: distilroberta_base_mrpc_glue_santi_cinotti
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_mrpc_glue_santi_cinotti` is a English model originally trained by Santici.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_mrpc_glue_santi_cinotti_en_5.5.0_3.0_1726527525148.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_mrpc_glue_santi_cinotti_en_5.5.0_3.0_1726527525148.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_santi_cinotti|
+|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/Santici/distilroberta-base-mrpc-glue-santi-cinotti
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilroberta_base_mrpc_glue_santi_cinotti_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilroberta_base_mrpc_glue_santi_cinotti_pipeline_en.md
new file mode 100644
index 00000000000000..21aeaaf1cc7be5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilroberta_base_mrpc_glue_santi_cinotti_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilroberta_base_mrpc_glue_santi_cinotti_pipeline pipeline RoBertaForSequenceClassification from Santici
+author: John Snow Labs
+name: distilroberta_base_mrpc_glue_santi_cinotti_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_base_mrpc_glue_santi_cinotti_pipeline` is a English model originally trained by Santici.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_base_mrpc_glue_santi_cinotti_pipeline_en_5.5.0_3.0_1726527540523.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_base_mrpc_glue_santi_cinotti_pipeline_en_5.5.0_3.0_1726527540523.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilroberta_base_mrpc_glue_santi_cinotti_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilroberta_base_mrpc_glue_santi_cinotti_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_base_mrpc_glue_santi_cinotti_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|308.6 MB|
+
+## References
+
+https://huggingface.co/Santici/distilroberta-base-mrpc-glue-santi-cinotti
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilroberta_finetuned_bloomberg_classifier_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilroberta_finetuned_bloomberg_classifier_en.md
new file mode 100644
index 00000000000000..f3b3b3a1a07024
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilroberta_finetuned_bloomberg_classifier_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilroberta_finetuned_bloomberg_classifier RoBertaForSequenceClassification from oli1728
+author: John Snow Labs
+name: distilroberta_finetuned_bloomberg_classifier
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_finetuned_bloomberg_classifier` is a English model originally trained by oli1728.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_finetuned_bloomberg_classifier_en_5.5.0_3.0_1726518937219.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_finetuned_bloomberg_classifier_en_5.5.0_3.0_1726518937219.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_finetuned_bloomberg_classifier|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|309.0 MB|
+
+## References
+
+https://huggingface.co/oli1728/distilroberta-finetuned-bloomberg-classifier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilroberta_finetuned_bloomberg_classifier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilroberta_finetuned_bloomberg_classifier_pipeline_en.md
new file mode 100644
index 00000000000000..af64a427b7081a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilroberta_finetuned_bloomberg_classifier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English distilroberta_finetuned_bloomberg_classifier_pipeline pipeline RoBertaForSequenceClassification from oli1728
+author: John Snow Labs
+name: distilroberta_finetuned_bloomberg_classifier_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_finetuned_bloomberg_classifier_pipeline` is a English model originally trained by oli1728.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_finetuned_bloomberg_classifier_pipeline_en_5.5.0_3.0_1726518951988.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_finetuned_bloomberg_classifier_pipeline_en_5.5.0_3.0_1726518951988.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("distilroberta_finetuned_bloomberg_classifier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilroberta_finetuned_bloomberg_classifier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_finetuned_bloomberg_classifier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|309.1 MB|
+
+## References
+
+https://huggingface.co/oli1728/distilroberta-finetuned-bloomberg-classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-distilroberta_ner_en.md b/docs/_posts/ahmedlone127/2024-09-16-distilroberta_ner_en.md
new file mode 100644
index 00000000000000..b2575303ab9f7b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-distilroberta_ner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English distilroberta_ner RoBertaForTokenClassification from OmVibhandik
+author: John Snow Labs
+name: distilroberta_ner
+date: 2024-09-16
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilroberta_ner` is a English model originally trained by OmVibhandik.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilroberta_ner_en_5.5.0_3.0_1726482528159.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilroberta_ner_en_5.5.0_3.0_1726482528159.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilroberta_ner|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|306.8 MB|
+
+## References
+
+https://huggingface.co/OmVibhandik/distilroberta_NER
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-dsarreaderroberta_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-dsarreaderroberta_pipeline_en.md
new file mode 100644
index 00000000000000..3370175720851a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-dsarreaderroberta_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English dsarreaderroberta_pipeline pipeline RoBertaForQuestionAnswering from hsmith-morganhill
+author: John Snow Labs
+name: dsarreaderroberta_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dsarreaderroberta_pipeline` is a English model originally trained by hsmith-morganhill.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dsarreaderroberta_pipeline_en_5.5.0_3.0_1726460579136.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dsarreaderroberta_pipeline_en_5.5.0_3.0_1726460579136.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("dsarreaderroberta_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("dsarreaderroberta_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dsarreaderroberta_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|463.8 MB|
+
+## References
+
+https://huggingface.co/hsmith-morganhill/dsarReaderRoberta
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-dummy_2_en.md b/docs/_posts/ahmedlone127/2024-09-16-dummy_2_en.md
new file mode 100644
index 00000000000000..3286e6623e0cee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-dummy_2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English dummy_2 BertForSequenceClassification from AnonymousSub
+author: John Snow Labs
+name: dummy_2
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dummy_2` is a English model originally trained by AnonymousSub.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dummy_2_en_5.5.0_3.0_1726492789154.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dummy_2_en_5.5.0_3.0_1726492789154.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dummy_2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|667.3 MB|
+
+## References
+
+https://huggingface.co/AnonymousSub/dummy_2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-e2m_dataset_tags_950_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-e2m_dataset_tags_950_pipeline_en.md
new file mode 100644
index 00000000000000..5ac925c4f211be
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-e2m_dataset_tags_950_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English e2m_dataset_tags_950_pipeline pipeline MarianTransformer from mekaneeky
+author: John Snow Labs
+name: e2m_dataset_tags_950_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`e2m_dataset_tags_950_pipeline` is a English model originally trained by mekaneeky.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/e2m_dataset_tags_950_pipeline_en_5.5.0_3.0_1726457646558.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/e2m_dataset_tags_950_pipeline_en_5.5.0_3.0_1726457646558.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("e2m_dataset_tags_950_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("e2m_dataset_tags_950_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|e2m_dataset_tags_950_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|530.7 MB|
+
+## References
+
+https://huggingface.co/mekaneeky/e2m-dataset-tags-950
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-efficient_mlm_m0_40_801010_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-efficient_mlm_m0_40_801010_pipeline_en.md
new file mode 100644
index 00000000000000..f0748846f12c0a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-efficient_mlm_m0_40_801010_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English efficient_mlm_m0_40_801010_pipeline pipeline RoBertaEmbeddings from princeton-nlp
+author: John Snow Labs
+name: efficient_mlm_m0_40_801010_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`efficient_mlm_m0_40_801010_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_40_801010_pipeline_en_5.5.0_3.0_1726514122993.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/efficient_mlm_m0_40_801010_pipeline_en_5.5.0_3.0_1726514122993.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("efficient_mlm_m0_40_801010_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("efficient_mlm_m0_40_801010_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|efficient_mlm_m0_40_801010_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|845.4 MB|
+
+## References
+
+https://huggingface.co/princeton-nlp/efficient_mlm_m0.40-801010
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-emoji_emoji_random1_seed2_twitter_roberta_base_2021_124m_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-emoji_emoji_random1_seed2_twitter_roberta_base_2021_124m_pipeline_en.md
new file mode 100644
index 00000000000000..6d4d4c1b390e15
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-emoji_emoji_random1_seed2_twitter_roberta_base_2021_124m_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English emoji_emoji_random1_seed2_twitter_roberta_base_2021_124m_pipeline pipeline RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: emoji_emoji_random1_seed2_twitter_roberta_base_2021_124m_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`emoji_emoji_random1_seed2_twitter_roberta_base_2021_124m_pipeline` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/emoji_emoji_random1_seed2_twitter_roberta_base_2021_124m_pipeline_en_5.5.0_3.0_1726470578327.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/emoji_emoji_random1_seed2_twitter_roberta_base_2021_124m_pipeline_en_5.5.0_3.0_1726470578327.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_2021_124m_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("emoji_emoji_random1_seed2_twitter_roberta_base_2021_124m_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|emoji_emoji_random1_seed2_twitter_roberta_base_2021_124m_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.6 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/emoji-emoji_random1_seed2-twitter-roberta-base-2021-124m
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-english_tonga_tonga_islands_arabic_version3_en.md b/docs/_posts/ahmedlone127/2024-09-16-english_tonga_tonga_islands_arabic_version3_en.md
new file mode 100644
index 00000000000000..ec0ed874b6fbaa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-english_tonga_tonga_islands_arabic_version3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English english_tonga_tonga_islands_arabic_version3 MarianTransformer from wingo-dz
+author: John Snow Labs
+name: english_tonga_tonga_islands_arabic_version3
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`english_tonga_tonga_islands_arabic_version3` is a English model originally trained by wingo-dz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/english_tonga_tonga_islands_arabic_version3_en_5.5.0_3.0_1726503080795.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/english_tonga_tonga_islands_arabic_version3_en_5.5.0_3.0_1726503080795.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|english_tonga_tonga_islands_arabic_version3|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|528.2 MB|
+
+## References
+
+https://huggingface.co/wingo-dz/en-to-ar-version3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-english_tonga_tonga_islands_arabic_version3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-english_tonga_tonga_islands_arabic_version3_pipeline_en.md
new file mode 100644
index 00000000000000..23623b23a7850d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-english_tonga_tonga_islands_arabic_version3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English english_tonga_tonga_islands_arabic_version3_pipeline pipeline MarianTransformer from wingo-dz
+author: John Snow Labs
+name: english_tonga_tonga_islands_arabic_version3_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`english_tonga_tonga_islands_arabic_version3_pipeline` is a English model originally trained by wingo-dz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/english_tonga_tonga_islands_arabic_version3_pipeline_en_5.5.0_3.0_1726503106089.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/english_tonga_tonga_islands_arabic_version3_pipeline_en_5.5.0_3.0_1726503106089.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_arabic_version3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("english_tonga_tonga_islands_arabic_version3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|english_tonga_tonga_islands_arabic_version3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|528.8 MB|
+
+## References
+
+https://huggingface.co/wingo-dz/en-to-ar-version3
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-enlm_roberta_conll2003_final_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-enlm_roberta_conll2003_final_pipeline_en.md
new file mode 100644
index 00000000000000..8c751b1e7ed5c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-enlm_roberta_conll2003_final_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English enlm_roberta_conll2003_final_pipeline pipeline XlmRoBertaForTokenClassification from manirai91
+author: John Snow Labs
+name: enlm_roberta_conll2003_final_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`enlm_roberta_conll2003_final_pipeline` is a English model originally trained by manirai91.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/enlm_roberta_conll2003_final_pipeline_en_5.5.0_3.0_1726495986638.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/enlm_roberta_conll2003_final_pipeline_en_5.5.0_3.0_1726495986638.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("enlm_roberta_conll2003_final_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("enlm_roberta_conll2003_final_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|enlm_roberta_conll2003_final_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|464.4 MB|
+
+## References
+
+https://huggingface.co/manirai91/enlm-roberta-conll2003-final
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-epc_adept_roberta_l_all_en.md b/docs/_posts/ahmedlone127/2024-09-16-epc_adept_roberta_l_all_en.md
new file mode 100644
index 00000000000000..111c59037898bd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-epc_adept_roberta_l_all_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English epc_adept_roberta_l_all RoBertaForSequenceClassification from veronica320
+author: John Snow Labs
+name: epc_adept_roberta_l_all
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`epc_adept_roberta_l_all` is a English model originally trained by veronica320.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/epc_adept_roberta_l_all_en_5.5.0_3.0_1726527015402.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/epc_adept_roberta_l_all_en_5.5.0_3.0_1726527015402.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|epc_adept_roberta_l_all|
+|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/veronica320/EPC_ADEPT_roberta-l_all
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-epc_adept_roberta_l_all_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-epc_adept_roberta_l_all_pipeline_en.md
new file mode 100644
index 00000000000000..0458a157d19771
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-epc_adept_roberta_l_all_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English epc_adept_roberta_l_all_pipeline pipeline RoBertaForSequenceClassification from veronica320
+author: John Snow Labs
+name: epc_adept_roberta_l_all_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`epc_adept_roberta_l_all_pipeline` is a English model originally trained by veronica320.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/epc_adept_roberta_l_all_pipeline_en_5.5.0_3.0_1726527095417.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/epc_adept_roberta_l_all_pipeline_en_5.5.0_3.0_1726527095417.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("epc_adept_roberta_l_all_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("epc_adept_roberta_l_all_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|epc_adept_roberta_l_all_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/veronica320/EPC_ADEPT_roberta-l_all
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-esperberto_ebtihal_en.md b/docs/_posts/ahmedlone127/2024-09-16-esperberto_ebtihal_en.md
new file mode 100644
index 00000000000000..198808431dfc56
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-esperberto_ebtihal_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English esperberto_ebtihal RoBertaEmbeddings from Ebtihal
+author: John Snow Labs
+name: esperberto_ebtihal
+date: 2024-09-16
+tags: [en, open_source, onnx, embeddings, roberta]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`esperberto_ebtihal` is a English model originally trained by Ebtihal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/esperberto_ebtihal_en_5.5.0_3.0_1726513946631.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/esperberto_ebtihal_en_5.5.0_3.0_1726513946631.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|esperberto_ebtihal|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[roberta]|
+|Language:|en|
+|Size:|310.7 MB|
+
+## References
+
+https://huggingface.co/Ebtihal/EsperBERTo
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-fake_news_detection_sonatafyai_roberta_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-fake_news_detection_sonatafyai_roberta_pipeline_en.md
new file mode 100644
index 00000000000000..6951d2a81b4712
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-fake_news_detection_sonatafyai_roberta_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English fake_news_detection_sonatafyai_roberta_pipeline pipeline RoBertaForSequenceClassification from Sonatafyai
+author: John Snow Labs
+name: fake_news_detection_sonatafyai_roberta_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fake_news_detection_sonatafyai_roberta_pipeline` is a English model originally trained by Sonatafyai.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fake_news_detection_sonatafyai_roberta_pipeline_en_5.5.0_3.0_1726470196588.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fake_news_detection_sonatafyai_roberta_pipeline_en_5.5.0_3.0_1726470196588.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fake_news_detection_sonatafyai_roberta_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fake_news_detection_sonatafyai_roberta_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fake_news_detection_sonatafyai_roberta_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|309.1 MB|
+
+## References
+
+https://huggingface.co/Sonatafyai/Fake_news_Detection_SonatafyAI_RoBERTa
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-financial_sentiment_analysis_shaivn_en.md b/docs/_posts/ahmedlone127/2024-09-16-financial_sentiment_analysis_shaivn_en.md
new file mode 100644
index 00000000000000..493d63cadcac16
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-financial_sentiment_analysis_shaivn_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English financial_sentiment_analysis_shaivn BertForSequenceClassification from Shaivn
+author: John Snow Labs
+name: financial_sentiment_analysis_shaivn
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`financial_sentiment_analysis_shaivn` is a English model originally trained by Shaivn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/financial_sentiment_analysis_shaivn_en_5.5.0_3.0_1726498910014.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/financial_sentiment_analysis_shaivn_en_5.5.0_3.0_1726498910014.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_whisper_small_inayat|
+|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/Inayat/Fine_tune_whisper_small
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-fine_tuned_ariabert_pipeline_fa.md b/docs/_posts/ahmedlone127/2024-09-16-fine_tuned_ariabert_pipeline_fa.md
new file mode 100644
index 00000000000000..f8cdc4cbe8ba93
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-fine_tuned_ariabert_pipeline_fa.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Persian fine_tuned_ariabert_pipeline pipeline RoBertaForSequenceClassification from iMahdiGhazavi
+author: John Snow Labs
+name: fine_tuned_ariabert_pipeline
+date: 2024-09-16
+tags: [fa, open_source, pipeline, onnx]
+task: Text Classification
+language: fa
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_ariabert_pipeline` is a Persian model originally trained by iMahdiGhazavi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_ariabert_pipeline_fa_5.5.0_3.0_1726527714607.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_ariabert_pipeline_fa_5.5.0_3.0_1726527714607.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fine_tuned_ariabert_pipeline", lang = "fa")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fine_tuned_ariabert_pipeline", lang = "fa")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tuned_ariabert_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|fa|
+|Size:|492.0 MB|
+
+## References
+
+https://huggingface.co/iMahdiGhazavi/fine-tuned-AriaBERT
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-fine_tuned_helsinki_model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-fine_tuned_helsinki_model_pipeline_en.md
new file mode 100644
index 00000000000000..ba9e3c1c477038
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-fine_tuned_helsinki_model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English fine_tuned_helsinki_model_pipeline pipeline MarianTransformer from EricPeter
+author: John Snow Labs
+name: fine_tuned_helsinki_model_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_helsinki_model_pipeline` is a English model originally trained by EricPeter.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_helsinki_model_pipeline_en_5.5.0_3.0_1726491238732.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_helsinki_model_pipeline_en_5.5.0_3.0_1726491238732.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fine_tuned_helsinki_model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fine_tuned_helsinki_model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tuned_helsinki_model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|530.4 MB|
+
+## References
+
+https://huggingface.co/EricPeter/fine_tuned_helsinki_model
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-fine_tuned_roberta_xlarge_en.md b/docs/_posts/ahmedlone127/2024-09-16-fine_tuned_roberta_xlarge_en.md
new file mode 100644
index 00000000000000..4b08e8d544fca1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-fine_tuned_roberta_xlarge_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English fine_tuned_roberta_xlarge BertForQuestionAnswering from kiwakwok
+author: John Snow Labs
+name: fine_tuned_roberta_xlarge
+date: 2024-09-16
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_roberta_xlarge` is a English model originally trained by kiwakwok.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_roberta_xlarge_en_5.5.0_3.0_1726507697876.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_roberta_xlarge_en_5.5.0_3.0_1726507697876.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_roberta_xlarge|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|382.2 MB|
+
+## References
+
+https://huggingface.co/kiwakwok/fine-tuned-roberta-xlarge
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-fine_tuned_roberta_xlarge_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-fine_tuned_roberta_xlarge_pipeline_en.md
new file mode 100644
index 00000000000000..48719b514acb2b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-fine_tuned_roberta_xlarge_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English fine_tuned_roberta_xlarge_pipeline pipeline BertForQuestionAnswering from kiwakwok
+author: John Snow Labs
+name: fine_tuned_roberta_xlarge_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`fine_tuned_roberta_xlarge_pipeline` is a English model originally trained by kiwakwok.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/fine_tuned_roberta_xlarge_pipeline_en_5.5.0_3.0_1726507715902.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/fine_tuned_roberta_xlarge_pipeline_en_5.5.0_3.0_1726507715902.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("fine_tuned_roberta_xlarge_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("fine_tuned_roberta_xlarge_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|fine_tuned_roberta_xlarge_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|382.3 MB|
+
+## References
+
+https://huggingface.co/kiwakwok/fine-tuned-roberta-xlarge
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-finetuned_iitp_pdt_review_roberta_hinglish_big_en.md b/docs/_posts/ahmedlone127/2024-09-16-finetuned_iitp_pdt_review_roberta_hinglish_big_en.md
new file mode 100644
index 00000000000000..bde04135a5da88
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-finetuned_iitp_pdt_review_roberta_hinglish_big_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuned_iitp_pdt_review_roberta_hinglish_big RoBertaForSequenceClassification from aditeyabaral
+author: John Snow Labs
+name: finetuned_iitp_pdt_review_roberta_hinglish_big
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_iitp_pdt_review_roberta_hinglish_big` is a English model originally trained by aditeyabaral.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_iitp_pdt_review_roberta_hinglish_big_en_5.5.0_3.0_1726470845801.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_iitp_pdt_review_roberta_hinglish_big_en_5.5.0_3.0_1726470845801.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_iitp_pdt_review_roberta_hinglish_big|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|251.5 MB|
+
+## References
+
+https://huggingface.co/aditeyabaral/finetuned-iitp_pdt_review-roberta-hinglish-big
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-finetuned_opusmt_english_french_hindi_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-finetuned_opusmt_english_french_hindi_pipeline_en.md
new file mode 100644
index 00000000000000..67b3feb52ec9cf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-finetuned_opusmt_english_french_hindi_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuned_opusmt_english_french_hindi_pipeline pipeline MarianTransformer from ritika-kumar
+author: John Snow Labs
+name: finetuned_opusmt_english_french_hindi_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_opusmt_english_french_hindi_pipeline` is a English model originally trained by ritika-kumar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_opusmt_english_french_hindi_pipeline_en_5.5.0_3.0_1726509774154.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_opusmt_english_french_hindi_pipeline_en_5.5.0_3.0_1726509774154.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuned_opusmt_english_french_hindi_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuned_opusmt_english_french_hindi_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_opusmt_english_french_hindi_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|508.9 MB|
+
+## References
+
+https://huggingface.co/ritika-kumar/finetuned-opusmt-en-fr-hi
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-finetuned_sentiment_analysis_modell_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-finetuned_sentiment_analysis_modell_pipeline_en.md
new file mode 100644
index 00000000000000..f836df0e95155f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-finetuned_sentiment_analysis_modell_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuned_sentiment_analysis_modell_pipeline pipeline RoBertaForSequenceClassification from HerbertAIHug
+author: John Snow Labs
+name: finetuned_sentiment_analysis_modell_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_sentiment_analysis_modell_pipeline` is a English model originally trained by HerbertAIHug.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_sentiment_analysis_modell_pipeline_en_5.5.0_3.0_1726519059239.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_sentiment_analysis_modell_pipeline_en_5.5.0_3.0_1726519059239.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuned_sentiment_analysis_modell_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuned_sentiment_analysis_modell_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_sentiment_analysis_modell_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|424.8 MB|
+
+## References
+
+https://huggingface.co/HerbertAIHug/finetuned_sentiment_analysis_modell
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-finetuning_sentiment_model_3000_samples_halvion_en.md b/docs/_posts/ahmedlone127/2024-09-16-finetuning_sentiment_model_3000_samples_halvion_en.md
new file mode 100644
index 00000000000000..4e620e438ba612
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-finetuning_sentiment_model_3000_samples_halvion_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_halvion DistilBertForSequenceClassification from halvion
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_halvion
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_halvion` is a English model originally trained by halvion.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_halvion_en_5.5.0_3.0_1726506416126.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_halvion_en_5.5.0_3.0_1726506416126.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_halvion|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/halvion/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-finetuning_sentiment_model_3000_samples_samsellj_en.md b/docs/_posts/ahmedlone127/2024-09-16-finetuning_sentiment_model_3000_samples_samsellj_en.md
new file mode 100644
index 00000000000000..e7c4098e0cf33d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-finetuning_sentiment_model_3000_samples_samsellj_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuning_sentiment_model_3000_samples_samsellj DistilBertForSequenceClassification from samsellj
+author: John Snow Labs
+name: finetuning_sentiment_model_3000_samples_samsellj
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuning_sentiment_model_3000_samples_samsellj` is a English model originally trained by samsellj.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_samsellj_en_5.5.0_3.0_1726525478202.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuning_sentiment_model_3000_samples_samsellj_en_5.5.0_3.0_1726525478202.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_samsellj|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/samsellj/finetuning-sentiment-model-3000-samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-focaltrain_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-focaltrain_pipeline_en.md
new file mode 100644
index 00000000000000..008e7d4c345a95
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-focaltrain_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English focaltrain_pipeline pipeline RoBertaForSequenceClassification from V12X-ksr
+author: John Snow Labs
+name: focaltrain_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`focaltrain_pipeline` is a English model originally trained by V12X-ksr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/focaltrain_pipeline_en_5.5.0_3.0_1726518003597.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/focaltrain_pipeline_en_5.5.0_3.0_1726518003597.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("focaltrain_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("focaltrain_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|focaltrain_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|437.1 MB|
+
+## References
+
+https://huggingface.co/V12X-ksr/FOCALtrain
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-ft_distilbert_base_uncased_with_squad_en.md b/docs/_posts/ahmedlone127/2024-09-16-ft_distilbert_base_uncased_with_squad_en.md
new file mode 100644
index 00000000000000..59fccf78746357
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-ft_distilbert_base_uncased_with_squad_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English ft_distilbert_base_uncased_with_squad DistilBertForQuestionAnswering from aisuko
+author: John Snow Labs
+name: ft_distilbert_base_uncased_with_squad
+date: 2024-09-16
+tags: [en, open_source, onnx, question_answering, distilbert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ft_distilbert_base_uncased_with_squad` is a English model originally trained by aisuko.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ft_distilbert_base_uncased_with_squad_en_5.5.0_3.0_1726469765473.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ft_distilbert_base_uncased_with_squad_en_5.5.0_3.0_1726469765473.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ft_distilbert_base_uncased_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/aisuko/ft-distilbert-base-uncased-with-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-ft_distilbert_base_uncased_with_squad_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-ft_distilbert_base_uncased_with_squad_pipeline_en.md
new file mode 100644
index 00000000000000..1ac22f52964a0b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-ft_distilbert_base_uncased_with_squad_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English ft_distilbert_base_uncased_with_squad_pipeline pipeline DistilBertForQuestionAnswering from aisuko
+author: John Snow Labs
+name: ft_distilbert_base_uncased_with_squad_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ft_distilbert_base_uncased_with_squad_pipeline` is a English model originally trained by aisuko.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ft_distilbert_base_uncased_with_squad_pipeline_en_5.5.0_3.0_1726469777151.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ft_distilbert_base_uncased_with_squad_pipeline_en_5.5.0_3.0_1726469777151.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ft_distilbert_base_uncased_with_squad_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ft_distilbert_base_uncased_with_squad_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ft_distilbert_base_uncased_with_squad_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/aisuko/ft-distilbert-base-uncased-with-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-furina_seed42_eng_amh_hau_basic_5e_06_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-furina_seed42_eng_amh_hau_basic_5e_06_pipeline_en.md
new file mode 100644
index 00000000000000..7bd401255cb90b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-furina_seed42_eng_amh_hau_basic_5e_06_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English furina_seed42_eng_amh_hau_basic_5e_06_pipeline pipeline XlmRoBertaForSequenceClassification from Shijia
+author: John Snow Labs
+name: furina_seed42_eng_amh_hau_basic_5e_06_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`furina_seed42_eng_amh_hau_basic_5e_06_pipeline` is a English model originally trained by Shijia.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/furina_seed42_eng_amh_hau_basic_5e_06_pipeline_en_5.5.0_3.0_1726517698909.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/furina_seed42_eng_amh_hau_basic_5e_06_pipeline_en_5.5.0_3.0_1726517698909.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("furina_seed42_eng_amh_hau_basic_5e_06_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("furina_seed42_eng_amh_hau_basic_5e_06_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|furina_seed42_eng_amh_hau_basic_5e_06_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.5 GB|
+
+## References
+
+https://huggingface.co/Shijia/furina_seed42_eng_amh_hau_basic_5e-06
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-g_bert_ner_en.md b/docs/_posts/ahmedlone127/2024-09-16-g_bert_ner_en.md
new file mode 100644
index 00000000000000..c4f2edc6cc31b8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-g_bert_ner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English g_bert_ner BertForTokenClassification from eddiegulay
+author: John Snow Labs
+name: g_bert_ner
+date: 2024-09-16
+tags: [en, open_source, onnx, token_classification, bert, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`g_bert_ner` is a English model originally trained by eddiegulay.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/g_bert_ner_en_5.5.0_3.0_1726461602692.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/g_bert_ner_en_5.5.0_3.0_1726461602692.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|g_bert_ner|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/eddiegulay/g-bert-NER
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-gal_ner_iwcg_6_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-gal_ner_iwcg_6_pipeline_en.md
new file mode 100644
index 00000000000000..2d2835ea360278
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-gal_ner_iwcg_6_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English gal_ner_iwcg_6_pipeline pipeline XlmRoBertaForTokenClassification from homersimpson
+author: John Snow Labs
+name: gal_ner_iwcg_6_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`gal_ner_iwcg_6_pipeline` is a English model originally trained by homersimpson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/gal_ner_iwcg_6_pipeline_en_5.5.0_3.0_1726497324150.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/gal_ner_iwcg_6_pipeline_en_5.5.0_3.0_1726497324150.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("gal_ner_iwcg_6_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("gal_ner_iwcg_6_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|gal_ner_iwcg_6_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|426.5 MB|
+
+## References
+
+https://huggingface.co/homersimpson/gal-ner-iwcg-6
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-helper3_en.md b/docs/_posts/ahmedlone127/2024-09-16-helper3_en.md
new file mode 100644
index 00000000000000..2d922960c406cd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-helper3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English helper3 RoBertaForSequenceClassification from raima2001
+author: John Snow Labs
+name: helper3
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`helper3` is a English model originally trained by raima2001.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/helper3_en_5.5.0_3.0_1726455347049.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/helper3_en_5.5.0_3.0_1726455347049.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|helper3|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|85.0 MB|
+
+## References
+
+https://huggingface.co/raima2001/helper3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-helper3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-helper3_pipeline_en.md
new file mode 100644
index 00000000000000..d339caac5f05da
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-helper3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English helper3_pipeline pipeline RoBertaForSequenceClassification from raima2001
+author: John Snow Labs
+name: helper3_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`helper3_pipeline` is a English model originally trained by raima2001.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/helper3_pipeline_en_5.5.0_3.0_1726455351280.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/helper3_pipeline_en_5.5.0_3.0_1726455351280.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("helper3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("helper3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|helper3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|85.0 MB|
+
+## References
+
+https://huggingface.co/raima2001/helper3
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-iad_hw_nlp_en.md b/docs/_posts/ahmedlone127/2024-09-16-iad_hw_nlp_en.md
new file mode 100644
index 00000000000000..faf43b854b7206
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-iad_hw_nlp_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English iad_hw_nlp MarianTransformer from kokarevklepa
+author: John Snow Labs
+name: iad_hw_nlp
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`iad_hw_nlp` is a English model originally trained by kokarevklepa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/iad_hw_nlp_en_5.5.0_3.0_1726491656796.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/iad_hw_nlp_en_5.5.0_3.0_1726491656796.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|iad_hw_nlp|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|524.3 MB|
+
+## References
+
+https://huggingface.co/kokarevklepa/iad_hw_nlp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-iit_token_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-iit_token_pipeline_en.md
new file mode 100644
index 00000000000000..9a13c5f7e54ad8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-iit_token_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English iit_token_pipeline pipeline DistilBertForQuestionAnswering from teju-1210
+author: John Snow Labs
+name: iit_token_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`iit_token_pipeline` is a English model originally trained by teju-1210.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/iit_token_pipeline_en_5.5.0_3.0_1726515098712.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/iit_token_pipeline_en_5.5.0_3.0_1726515098712.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("iit_token_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("iit_token_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|iit_token_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/teju-1210/IIT_Token
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-imdb_distilbert_funetuned_en.md b/docs/_posts/ahmedlone127/2024-09-16-imdb_distilbert_funetuned_en.md
new file mode 100644
index 00000000000000..22709636287db3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-imdb_distilbert_funetuned_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English imdb_distilbert_funetuned DistilBertForSequenceClassification from ashaduzzaman
+author: John Snow Labs
+name: imdb_distilbert_funetuned
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdb_distilbert_funetuned` is a English model originally trained by ashaduzzaman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdb_distilbert_funetuned_en_5.5.0_3.0_1726506163179.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdb_distilbert_funetuned_en_5.5.0_3.0_1726506163179.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|imdb_distilbert_funetuned|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/ashaduzzaman/imdb-distilbert-funetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-imdb_distilbert_raj_sharma_en.md b/docs/_posts/ahmedlone127/2024-09-16-imdb_distilbert_raj_sharma_en.md
new file mode 100644
index 00000000000000..4358aeac16555f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-imdb_distilbert_raj_sharma_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English imdb_distilbert_raj_sharma DistilBertForSequenceClassification from Raj-Sharma
+author: John Snow Labs
+name: imdb_distilbert_raj_sharma
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdb_distilbert_raj_sharma` is a English model originally trained by Raj-Sharma.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdb_distilbert_raj_sharma_en_5.5.0_3.0_1726506668151.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdb_distilbert_raj_sharma_en_5.5.0_3.0_1726506668151.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|imdb_distilbert_raj_sharma|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Raj-Sharma/imdb-distilbert
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-imdb_score_predict_roberta_large_fulldata_en.md b/docs/_posts/ahmedlone127/2024-09-16-imdb_score_predict_roberta_large_fulldata_en.md
new file mode 100644
index 00000000000000..90b085e492784c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-imdb_score_predict_roberta_large_fulldata_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English imdb_score_predict_roberta_large_fulldata RoBertaForSequenceClassification from Mathnub
+author: John Snow Labs
+name: imdb_score_predict_roberta_large_fulldata
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdb_score_predict_roberta_large_fulldata` is a English model originally trained by Mathnub.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdb_score_predict_roberta_large_fulldata_en_5.5.0_3.0_1726518271129.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdb_score_predict_roberta_large_fulldata_en_5.5.0_3.0_1726518271129.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|imdb_score_predict_roberta_large_fulldata|
+|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/Mathnub/imdb-score-predict-roberta-large-fulldata
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-imdb_score_predict_roberta_large_fulldata_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-imdb_score_predict_roberta_large_fulldata_pipeline_en.md
new file mode 100644
index 00000000000000..8b1b9563f5b1c1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-imdb_score_predict_roberta_large_fulldata_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English imdb_score_predict_roberta_large_fulldata_pipeline pipeline RoBertaForSequenceClassification from Mathnub
+author: John Snow Labs
+name: imdb_score_predict_roberta_large_fulldata_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`imdb_score_predict_roberta_large_fulldata_pipeline` is a English model originally trained by Mathnub.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/imdb_score_predict_roberta_large_fulldata_pipeline_en_5.5.0_3.0_1726518340716.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/imdb_score_predict_roberta_large_fulldata_pipeline_en_5.5.0_3.0_1726518340716.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("imdb_score_predict_roberta_large_fulldata_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("imdb_score_predict_roberta_large_fulldata_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|imdb_score_predict_roberta_large_fulldata_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Mathnub/imdb-score-predict-roberta-large-fulldata
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-immigration_disbalanced_classifier_german_en.md b/docs/_posts/ahmedlone127/2024-09-16-immigration_disbalanced_classifier_german_en.md
new file mode 100644
index 00000000000000..86612f79f0c3fe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-immigration_disbalanced_classifier_german_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English immigration_disbalanced_classifier_german XlmRoBertaForSequenceClassification from luissattelmayer
+author: John Snow Labs
+name: immigration_disbalanced_classifier_german
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`immigration_disbalanced_classifier_german` is a English model originally trained by luissattelmayer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/immigration_disbalanced_classifier_german_en_5.5.0_3.0_1726517112645.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/immigration_disbalanced_classifier_german_en_5.5.0_3.0_1726517112645.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|immigration_disbalanced_classifier_german|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|806.3 MB|
+
+## References
+
+https://huggingface.co/luissattelmayer/immigration_disbalanced_classifier_german
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-immigration_disbalanced_classifier_german_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-immigration_disbalanced_classifier_german_pipeline_en.md
new file mode 100644
index 00000000000000..137c27c5e47686
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-immigration_disbalanced_classifier_german_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English immigration_disbalanced_classifier_german_pipeline pipeline XlmRoBertaForSequenceClassification from luissattelmayer
+author: John Snow Labs
+name: immigration_disbalanced_classifier_german_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`immigration_disbalanced_classifier_german_pipeline` is a English model originally trained by luissattelmayer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/immigration_disbalanced_classifier_german_pipeline_en_5.5.0_3.0_1726517235915.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/immigration_disbalanced_classifier_german_pipeline_en_5.5.0_3.0_1726517235915.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("immigration_disbalanced_classifier_german_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("immigration_disbalanced_classifier_german_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|immigration_disbalanced_classifier_german_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|806.3 MB|
+
+## References
+
+https://huggingface.co/luissattelmayer/immigration_disbalanced_classifier_german
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-indicbertv2_mlm_only_pipeline_xx.md b/docs/_posts/ahmedlone127/2024-09-16-indicbertv2_mlm_only_pipeline_xx.md
new file mode 100644
index 00000000000000..1c85bc05b9c3a1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-indicbertv2_mlm_only_pipeline_xx.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Multilingual indicbertv2_mlm_only_pipeline pipeline BertEmbeddings from ai4bharat
+author: John Snow Labs
+name: indicbertv2_mlm_only_pipeline
+date: 2024-09-16
+tags: [xx, open_source, pipeline, onnx]
+task: Embeddings
+language: xx
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`indicbertv2_mlm_only_pipeline` is a Multilingual model originally trained by ai4bharat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/indicbertv2_mlm_only_pipeline_xx_5.5.0_3.0_1726464181940.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/indicbertv2_mlm_only_pipeline_xx_5.5.0_3.0_1726464181940.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("indicbertv2_mlm_only_pipeline", lang = "xx")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("indicbertv2_mlm_only_pipeline", lang = "xx")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|indicbertv2_mlm_only_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|xx|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/ai4bharat/IndicBERTv2-MLM-only
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-indicbertv2_mlm_only_xx.md b/docs/_posts/ahmedlone127/2024-09-16-indicbertv2_mlm_only_xx.md
new file mode 100644
index 00000000000000..dc93ccc6c31017
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-indicbertv2_mlm_only_xx.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Multilingual indicbertv2_mlm_only BertEmbeddings from ai4bharat
+author: John Snow Labs
+name: indicbertv2_mlm_only
+date: 2024-09-16
+tags: [xx, open_source, onnx, embeddings, bert]
+task: Embeddings
+language: xx
+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.`indicbertv2_mlm_only` is a Multilingual model originally trained by ai4bharat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/indicbertv2_mlm_only_xx_5.5.0_3.0_1726464136013.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/indicbertv2_mlm_only_xx_5.5.0_3.0_1726464136013.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|indicbertv2_mlm_only|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[bert]|
+|Language:|xx|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/ai4bharat/IndicBERTv2-MLM-only
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-indobert_base_indonesian_emotion_analysis_v11_id.md b/docs/_posts/ahmedlone127/2024-09-16-indobert_base_indonesian_emotion_analysis_v11_id.md
new file mode 100644
index 00000000000000..4db10dfd750532
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-indobert_base_indonesian_emotion_analysis_v11_id.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Indonesian indobert_base_indonesian_emotion_analysis_v11 BertForSequenceClassification from Aardiiiiy
+author: John Snow Labs
+name: indobert_base_indonesian_emotion_analysis_v11
+date: 2024-09-16
+tags: [id, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: id
+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.`indobert_base_indonesian_emotion_analysis_v11` is a Indonesian model originally trained by Aardiiiiy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/indobert_base_indonesian_emotion_analysis_v11_id_5.5.0_3.0_1726499496333.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/indobert_base_indonesian_emotion_analysis_v11_id_5.5.0_3.0_1726499496333.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|indobert_base_indonesian_emotion_analysis_v11|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|id|
+|Size:|414.0 MB|
+
+## References
+
+https://huggingface.co/Aardiiiiy/indobert-base-Indonesian-emotion-analysis-v11
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-indobert_base_indonesian_emotion_analysis_v11_pipeline_id.md b/docs/_posts/ahmedlone127/2024-09-16-indobert_base_indonesian_emotion_analysis_v11_pipeline_id.md
new file mode 100644
index 00000000000000..34340d796034de
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-indobert_base_indonesian_emotion_analysis_v11_pipeline_id.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Indonesian indobert_base_indonesian_emotion_analysis_v11_pipeline pipeline BertForSequenceClassification from Aardiiiiy
+author: John Snow Labs
+name: indobert_base_indonesian_emotion_analysis_v11_pipeline
+date: 2024-09-16
+tags: [id, open_source, pipeline, onnx]
+task: Text Classification
+language: id
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`indobert_base_indonesian_emotion_analysis_v11_pipeline` is a Indonesian model originally trained by Aardiiiiy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/indobert_base_indonesian_emotion_analysis_v11_pipeline_id_5.5.0_3.0_1726499515189.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/indobert_base_indonesian_emotion_analysis_v11_pipeline_id_5.5.0_3.0_1726499515189.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("indobert_base_indonesian_emotion_analysis_v11_pipeline", lang = "id")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("indobert_base_indonesian_emotion_analysis_v11_pipeline", lang = "id")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|indobert_base_indonesian_emotion_analysis_v11_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|id|
+|Size:|414.1 MB|
+
+## References
+
+https://huggingface.co/Aardiiiiy/indobert-base-Indonesian-emotion-analysis-v11
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-indonesia_emotion_roberta_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-indonesia_emotion_roberta_pipeline_en.md
new file mode 100644
index 00000000000000..c79016ce2aaf90
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-indonesia_emotion_roberta_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English indonesia_emotion_roberta_pipeline pipeline RoBertaForSequenceClassification from aniyfans
+author: John Snow Labs
+name: indonesia_emotion_roberta_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`indonesia_emotion_roberta_pipeline` is a English model originally trained by aniyfans.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/indonesia_emotion_roberta_pipeline_en_5.5.0_3.0_1726518684112.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/indonesia_emotion_roberta_pipeline_en_5.5.0_3.0_1726518684112.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("indonesia_emotion_roberta_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("indonesia_emotion_roberta_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|indonesia_emotion_roberta_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|467.7 MB|
+
+## References
+
+https://huggingface.co/aniyfans/indonesia-emotion-roberta
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-indonesian_sentiment_id.md b/docs/_posts/ahmedlone127/2024-09-16-indonesian_sentiment_id.md
new file mode 100644
index 00000000000000..ecd5ef182e58b9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-indonesian_sentiment_id.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Indonesian indonesian_sentiment BertForSequenceClassification from taufiqdp
+author: John Snow Labs
+name: indonesian_sentiment
+date: 2024-09-16
+tags: [id, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: id
+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.`indonesian_sentiment` is a Indonesian model originally trained by taufiqdp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/indonesian_sentiment_id_5.5.0_3.0_1726493102587.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/indonesian_sentiment_id_5.5.0_3.0_1726493102587.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|indonesian_sentiment|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|id|
+|Size:|413.9 MB|
+
+## References
+
+https://huggingface.co/taufiqdp/indonesian-sentiment
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-indonesian_sentiment_pipeline_id.md b/docs/_posts/ahmedlone127/2024-09-16-indonesian_sentiment_pipeline_id.md
new file mode 100644
index 00000000000000..707886a4e3e007
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-indonesian_sentiment_pipeline_id.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Indonesian indonesian_sentiment_pipeline pipeline BertForSequenceClassification from taufiqdp
+author: John Snow Labs
+name: indonesian_sentiment_pipeline
+date: 2024-09-16
+tags: [id, open_source, pipeline, onnx]
+task: Text Classification
+language: id
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`indonesian_sentiment_pipeline` is a Indonesian model originally trained by taufiqdp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/indonesian_sentiment_pipeline_id_5.5.0_3.0_1726493122740.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/indonesian_sentiment_pipeline_id_5.5.0_3.0_1726493122740.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("indonesian_sentiment_pipeline", lang = "id")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("indonesian_sentiment_pipeline", lang = "id")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|indonesian_sentiment_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|id|
+|Size:|414.0 MB|
+
+## References
+
+https://huggingface.co/taufiqdp/indonesian-sentiment
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-irf_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-irf_pipeline_en.md
new file mode 100644
index 00000000000000..f3e2f0b758d4e7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-irf_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English irf_pipeline pipeline BertForSequenceClassification from Tianlin668
+author: John Snow Labs
+name: irf_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`irf_pipeline` is a English model originally trained by Tianlin668.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/irf_pipeline_en_5.5.0_3.0_1726459076814.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/irf_pipeline_en_5.5.0_3.0_1726459076814.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("irf_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("irf_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|irf_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|408.9 MB|
+
+## References
+
+https://huggingface.co/Tianlin668/Irf
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-journal_roberta_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-journal_roberta_pipeline_en.md
new file mode 100644
index 00000000000000..3d1d324cf9a5da
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-journal_roberta_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English journal_roberta_pipeline pipeline RoBertaForSequenceClassification from KM4STfulltext
+author: John Snow Labs
+name: journal_roberta_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`journal_roberta_pipeline` is a English model originally trained by KM4STfulltext.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/journal_roberta_pipeline_en_5.5.0_3.0_1726470368824.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/journal_roberta_pipeline_en_5.5.0_3.0_1726470368824.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("journal_roberta_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("journal_roberta_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|journal_roberta_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|467.0 MB|
+
+## References
+
+https://huggingface.co/KM4STfulltext/Journal-RoBERTa
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-kemmer_finetuned_russian_english_nan.md b/docs/_posts/ahmedlone127/2024-09-16-kemmer_finetuned_russian_english_nan.md
new file mode 100644
index 00000000000000..ba68003ef991aa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-kemmer_finetuned_russian_english_nan.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: None kemmer_finetuned_russian_english MarianTransformer from KemmerEdition
+author: John Snow Labs
+name: kemmer_finetuned_russian_english
+date: 2024-09-16
+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.`kemmer_finetuned_russian_english` is a None model originally trained by KemmerEdition.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kemmer_finetuned_russian_english_nan_5.5.0_3.0_1726457023793.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kemmer_finetuned_russian_english_nan_5.5.0_3.0_1726457023793.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kemmer_finetuned_russian_english|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|nan|
+|Size:|526.3 MB|
+
+## References
+
+https://huggingface.co/KemmerEdition/Kemmer_Finetuned_Ru_En
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-khipu_finetuned_amazon_reviews_multi_gcapde_en.md b/docs/_posts/ahmedlone127/2024-09-16-khipu_finetuned_amazon_reviews_multi_gcapde_en.md
new file mode 100644
index 00000000000000..e6c13686d38d51
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-khipu_finetuned_amazon_reviews_multi_gcapde_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English khipu_finetuned_amazon_reviews_multi_gcapde RoBertaForSequenceClassification from gcapde
+author: John Snow Labs
+name: khipu_finetuned_amazon_reviews_multi_gcapde
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`khipu_finetuned_amazon_reviews_multi_gcapde` is a English model originally trained by gcapde.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/khipu_finetuned_amazon_reviews_multi_gcapde_en_5.5.0_3.0_1726470195953.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/khipu_finetuned_amazon_reviews_multi_gcapde_en_5.5.0_3.0_1726470195953.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|khipu_finetuned_amazon_reviews_multi_gcapde|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|428.7 MB|
+
+## References
+
+https://huggingface.co/gcapde/khipu-finetuned-amazon_reviews_multi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-khipu_finetuned_amazon_reviews_multi_gcapde_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-khipu_finetuned_amazon_reviews_multi_gcapde_pipeline_en.md
new file mode 100644
index 00000000000000..956e0770d7efde
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-khipu_finetuned_amazon_reviews_multi_gcapde_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English khipu_finetuned_amazon_reviews_multi_gcapde_pipeline pipeline RoBertaForSequenceClassification from gcapde
+author: John Snow Labs
+name: khipu_finetuned_amazon_reviews_multi_gcapde_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`khipu_finetuned_amazon_reviews_multi_gcapde_pipeline` is a English model originally trained by gcapde.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/khipu_finetuned_amazon_reviews_multi_gcapde_pipeline_en_5.5.0_3.0_1726470223802.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/khipu_finetuned_amazon_reviews_multi_gcapde_pipeline_en_5.5.0_3.0_1726470223802.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("khipu_finetuned_amazon_reviews_multi_gcapde_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("khipu_finetuned_amazon_reviews_multi_gcapde_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|khipu_finetuned_amazon_reviews_multi_gcapde_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|428.8 MB|
+
+## References
+
+https://huggingface.co/gcapde/khipu-finetuned-amazon_reviews_multi
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-kinyaroberta_large_kinte_finetuned_kinyarwanda_tweet_finetuned_kinyarwanda_sent3_en.md b/docs/_posts/ahmedlone127/2024-09-16-kinyaroberta_large_kinte_finetuned_kinyarwanda_tweet_finetuned_kinyarwanda_sent3_en.md
new file mode 100644
index 00000000000000..b1a13b0f3e0cc7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-kinyaroberta_large_kinte_finetuned_kinyarwanda_tweet_finetuned_kinyarwanda_sent3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English kinyaroberta_large_kinte_finetuned_kinyarwanda_tweet_finetuned_kinyarwanda_sent3 RoBertaForSequenceClassification from RogerB
+author: John Snow Labs
+name: kinyaroberta_large_kinte_finetuned_kinyarwanda_tweet_finetuned_kinyarwanda_sent3
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`kinyaroberta_large_kinte_finetuned_kinyarwanda_tweet_finetuned_kinyarwanda_sent3` is a English model originally trained by RogerB.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kinyaroberta_large_kinte_finetuned_kinyarwanda_tweet_finetuned_kinyarwanda_sent3_en_5.5.0_3.0_1726526903900.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kinyaroberta_large_kinte_finetuned_kinyarwanda_tweet_finetuned_kinyarwanda_sent3_en_5.5.0_3.0_1726526903900.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kinyaroberta_large_kinte_finetuned_kinyarwanda_tweet_finetuned_kinyarwanda_sent3|
+|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/RogerB/kinyaRoberta-large-kinte-finetuned-kin-tweet-finetuned-kin-sent3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-kinyaroberta_large_kinte_finetuned_kinyarwanda_tweet_finetuned_kinyarwanda_sent3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-kinyaroberta_large_kinte_finetuned_kinyarwanda_tweet_finetuned_kinyarwanda_sent3_pipeline_en.md
new file mode 100644
index 00000000000000..c3abf138749865
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-kinyaroberta_large_kinte_finetuned_kinyarwanda_tweet_finetuned_kinyarwanda_sent3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English kinyaroberta_large_kinte_finetuned_kinyarwanda_tweet_finetuned_kinyarwanda_sent3_pipeline pipeline RoBertaForSequenceClassification from RogerB
+author: John Snow Labs
+name: kinyaroberta_large_kinte_finetuned_kinyarwanda_tweet_finetuned_kinyarwanda_sent3_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`kinyaroberta_large_kinte_finetuned_kinyarwanda_tweet_finetuned_kinyarwanda_sent3_pipeline` is a English model originally trained by RogerB.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kinyaroberta_large_kinte_finetuned_kinyarwanda_tweet_finetuned_kinyarwanda_sent3_pipeline_en_5.5.0_3.0_1726526923641.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kinyaroberta_large_kinte_finetuned_kinyarwanda_tweet_finetuned_kinyarwanda_sent3_pipeline_en_5.5.0_3.0_1726526923641.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("kinyaroberta_large_kinte_finetuned_kinyarwanda_tweet_finetuned_kinyarwanda_sent3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("kinyaroberta_large_kinte_finetuned_kinyarwanda_tweet_finetuned_kinyarwanda_sent3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kinyaroberta_large_kinte_finetuned_kinyarwanda_tweet_finetuned_kinyarwanda_sent3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|409.3 MB|
+
+## References
+
+https://huggingface.co/RogerB/kinyaRoberta-large-kinte-finetuned-kin-tweet-finetuned-kin-sent3
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-lab1_finetuning_den_sota_en.md b/docs/_posts/ahmedlone127/2024-09-16-lab1_finetuning_den_sota_en.md
new file mode 100644
index 00000000000000..e038ab6ca71f57
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-lab1_finetuning_den_sota_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English lab1_finetuning_den_sota MarianTransformer from Den-sota
+author: John Snow Labs
+name: lab1_finetuning_den_sota
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`lab1_finetuning_den_sota` is a English model originally trained by Den-sota.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lab1_finetuning_den_sota_en_5.5.0_3.0_1726457393050.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lab1_finetuning_den_sota_en_5.5.0_3.0_1726457393050.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_base_filtered_cuad|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.3 MB|
+
+## References
+
+https://huggingface.co/alex-apostolo/legal-bert-base-filtered-cuad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-legal_bert_base_filtered_cuad_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-legal_bert_base_filtered_cuad_pipeline_en.md
new file mode 100644
index 00000000000000..80de14e534759d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-legal_bert_base_filtered_cuad_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English legal_bert_base_filtered_cuad_pipeline pipeline BertForQuestionAnswering from alex-apostolo
+author: John Snow Labs
+name: legal_bert_base_filtered_cuad_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`legal_bert_base_filtered_cuad_pipeline` is a English model originally trained by alex-apostolo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/legal_bert_base_filtered_cuad_pipeline_en_5.5.0_3.0_1726511289803.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/legal_bert_base_filtered_cuad_pipeline_en_5.5.0_3.0_1726511289803.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("legal_bert_base_filtered_cuad_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("legal_bert_base_filtered_cuad_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|legal_bert_base_filtered_cuad_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.3 MB|
+
+## References
+
+https://huggingface.co/alex-apostolo/legal-bert-base-filtered-cuad
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-lenu_portuguese_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-lenu_portuguese_pipeline_en.md
new file mode 100644
index 00000000000000..238efeab9b8c63
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-lenu_portuguese_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English lenu_portuguese_pipeline pipeline BertForSequenceClassification from Sociovestix
+author: John Snow Labs
+name: lenu_portuguese_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`lenu_portuguese_pipeline` is a English model originally trained by Sociovestix.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lenu_portuguese_pipeline_en_5.5.0_3.0_1726460046181.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lenu_portuguese_pipeline_en_5.5.0_3.0_1726460046181.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("lenu_portuguese_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("lenu_portuguese_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lenu_portuguese_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|627.8 MB|
+
+## References
+
+https://huggingface.co/Sociovestix/lenu_PT
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-lettuce_sayula_popoluca_english_mono_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-lettuce_sayula_popoluca_english_mono_pipeline_en.md
new file mode 100644
index 00000000000000..877192fae4e16b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-lettuce_sayula_popoluca_english_mono_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English lettuce_sayula_popoluca_english_mono_pipeline pipeline RoBertaForTokenClassification from pranaydeeps
+author: John Snow Labs
+name: lettuce_sayula_popoluca_english_mono_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`lettuce_sayula_popoluca_english_mono_pipeline` is a English model originally trained by pranaydeeps.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/lettuce_sayula_popoluca_english_mono_pipeline_en_5.5.0_3.0_1726452812239.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/lettuce_sayula_popoluca_english_mono_pipeline_en_5.5.0_3.0_1726452812239.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("lettuce_sayula_popoluca_english_mono_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("lettuce_sayula_popoluca_english_mono_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|lettuce_sayula_popoluca_english_mono_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|457.9 MB|
+
+## References
+
+https://huggingface.co/pranaydeeps/lettuce_pos_en_mono
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-log_sage_reward_model_en.md b/docs/_posts/ahmedlone127/2024-09-16-log_sage_reward_model_en.md
new file mode 100644
index 00000000000000..6b06176813990e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-log_sage_reward_model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English log_sage_reward_model DistilBertForSequenceClassification from IrwinD
+author: John Snow Labs
+name: log_sage_reward_model
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`log_sage_reward_model` is a English model originally trained by IrwinD.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/log_sage_reward_model_en_5.5.0_3.0_1726525295966.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/log_sage_reward_model_en_5.5.0_3.0_1726525295966.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|maltese_coref_english_german_gender|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|499.8 MB|
+
+## References
+
+https://huggingface.co/nlphuji/mt_coref_en_de_gender
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-maltese_coref_english_russian_coref_exp_en.md b/docs/_posts/ahmedlone127/2024-09-16-maltese_coref_english_russian_coref_exp_en.md
new file mode 100644
index 00000000000000..c5a78845b6e7f9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-maltese_coref_english_russian_coref_exp_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English maltese_coref_english_russian_coref_exp MarianTransformer from nlphuji
+author: John Snow Labs
+name: maltese_coref_english_russian_coref_exp
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`maltese_coref_english_russian_coref_exp` is a English model originally trained by nlphuji.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/maltese_coref_english_russian_coref_exp_en_5.5.0_3.0_1726465248404.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/maltese_coref_english_russian_coref_exp_en_5.5.0_3.0_1726465248404.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|maltese_coref_english_russian_coref_exp|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|525.9 MB|
+
+## References
+
+https://huggingface.co/nlphuji/mt_coref_en_ru_coref_exp
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-maltese_coref_english_spanish_gender_exp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-maltese_coref_english_spanish_gender_exp_pipeline_en.md
new file mode 100644
index 00000000000000..f7ec9022353b99
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-maltese_coref_english_spanish_gender_exp_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English maltese_coref_english_spanish_gender_exp_pipeline pipeline MarianTransformer from nlphuji
+author: John Snow Labs
+name: maltese_coref_english_spanish_gender_exp_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`maltese_coref_english_spanish_gender_exp_pipeline` is a English model originally trained by nlphuji.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/maltese_coref_english_spanish_gender_exp_pipeline_en_5.5.0_3.0_1726457319759.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/maltese_coref_english_spanish_gender_exp_pipeline_en_5.5.0_3.0_1726457319759.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("maltese_coref_english_spanish_gender_exp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("maltese_coref_english_spanish_gender_exp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|maltese_coref_english_spanish_gender_exp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|540.9 MB|
+
+## References
+
+https://huggingface.co/nlphuji/mt_coref_en_es_gender_exp
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-marathi_sentiment_subtitles_mr.md b/docs/_posts/ahmedlone127/2024-09-16-marathi_sentiment_subtitles_mr.md
new file mode 100644
index 00000000000000..8cecec49224cd4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-marathi_sentiment_subtitles_mr.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Marathi marathi_sentiment_subtitles BertForSequenceClassification from l3cube-pune
+author: John Snow Labs
+name: marathi_sentiment_subtitles
+date: 2024-09-16
+tags: [mr, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: mr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marathi_sentiment_subtitles` is a Marathi model originally trained by l3cube-pune.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marathi_sentiment_subtitles_mr_5.5.0_3.0_1726498883827.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marathi_sentiment_subtitles_mr_5.5.0_3.0_1726498883827.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marathi_sentiment_subtitles|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|mr|
+|Size:|892.8 MB|
+
+## References
+
+https://huggingface.co/l3cube-pune/marathi-sentiment-subtitles
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-marathi_sentiment_subtitles_pipeline_mr.md b/docs/_posts/ahmedlone127/2024-09-16-marathi_sentiment_subtitles_pipeline_mr.md
new file mode 100644
index 00000000000000..262df54e77bae9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-marathi_sentiment_subtitles_pipeline_mr.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Marathi marathi_sentiment_subtitles_pipeline pipeline BertForSequenceClassification from l3cube-pune
+author: John Snow Labs
+name: marathi_sentiment_subtitles_pipeline
+date: 2024-09-16
+tags: [mr, open_source, pipeline, onnx]
+task: Text Classification
+language: mr
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marathi_sentiment_subtitles_pipeline` is a Marathi model originally trained by l3cube-pune.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marathi_sentiment_subtitles_pipeline_mr_5.5.0_3.0_1726498927043.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marathi_sentiment_subtitles_pipeline_mr_5.5.0_3.0_1726498927043.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("marathi_sentiment_subtitles_pipeline", lang = "mr")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marathi_sentiment_subtitles_pipeline", lang = "mr")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marathi_sentiment_subtitles_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|mr|
+|Size:|892.9 MB|
+
+## References
+
+https://huggingface.co/l3cube-pune/marathi-sentiment-subtitles
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_spanish_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_spanish_pipeline_en.md
new file mode 100644
index 00000000000000..6aad13d5264058
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_spanish_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_spanish_pipeline pipeline MarianTransformer from weirdMoonFace
+author: John Snow Labs
+name: marian_finetuned_kde4_english_spanish_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_spanish_pipeline` is a English model originally trained by weirdMoonFace.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_spanish_pipeline_en_5.5.0_3.0_1726491538381.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_spanish_pipeline_en_5.5.0_3.0_1726491538381.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_spanish_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marian_finetuned_kde4_english_spanish_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marian_finetuned_kde4_english_spanish_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|540.5 MB|
+
+## References
+
+https://huggingface.co/weirdMoonFace/marian-finetuned-kde4-en-es
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_tkoyama_en.md b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_tkoyama_en.md
new file mode 100644
index 00000000000000..b589a101a3f0e8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_tkoyama_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_tkoyama MarianTransformer from tkoyama
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_tkoyama
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_tkoyama` is a English model originally trained by tkoyama.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_tkoyama_en_5.5.0_3.0_1726494292610.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_tkoyama_en_5.5.0_3.0_1726494292610.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_tkoyama|
+|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/tkoyama/marian-finetuned-kde4-en-to-fr-accelerate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_vasaicrow_en.md b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_vasaicrow_en.md
new file mode 100644
index 00000000000000..42c97a1c802f58
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_vasaicrow_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_vasaicrow MarianTransformer from vasaicrow
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_vasaicrow
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_vasaicrow` is a English model originally trained by vasaicrow.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_vasaicrow_en_5.5.0_3.0_1726456953389.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_accelerate_vasaicrow_en_5.5.0_3.0_1726456953389.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_vasaicrow|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|507.7 MB|
+
+## References
+
+https://huggingface.co/vasaicrow/marian-finetuned-kde4-en-to-fr-accelerate
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_alfsnd_en.md b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_alfsnd_en.md
new file mode 100644
index 00000000000000..8235ebca52bb26
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_alfsnd_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_alfsnd MarianTransformer from alfsnd
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_alfsnd
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_tonga_tonga_islands_french_alfsnd` is a English model originally trained by alfsnd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_alfsnd_en_5.5.0_3.0_1726493815494.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_alfsnd_en_5.5.0_3.0_1726493815494.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_alfsnd|
+|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/alfsnd/marian-finetuned-kde4-en-to-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_alfsnd_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_alfsnd_pipeline_en.md
new file mode 100644
index 00000000000000..a2c6de5df95831
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_alfsnd_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_alfsnd_pipeline pipeline MarianTransformer from alfsnd
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_alfsnd_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_tonga_tonga_islands_french_alfsnd_pipeline` is a English model originally trained by alfsnd.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_alfsnd_pipeline_en_5.5.0_3.0_1726493840418.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_alfsnd_pipeline_en_5.5.0_3.0_1726493840418.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_alfsnd_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_french_alfsnd_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marian_finetuned_kde4_english_tonga_tonga_islands_french_alfsnd_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|508.6 MB|
+
+## References
+
+https://huggingface.co/alfsnd/marian-finetuned-kde4-en-to-fr
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_chandlerzhang001_en.md b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_chandlerzhang001_en.md
new file mode 100644
index 00000000000000..d2598ae7383753
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_chandlerzhang001_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_chandlerzhang001 MarianTransformer from chandlerzhang001
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_chandlerzhang001
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_tonga_tonga_islands_french_chandlerzhang001` is a English model originally trained by chandlerzhang001.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_chandlerzhang001_en_5.5.0_3.0_1726503282391.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_chandlerzhang001_en_5.5.0_3.0_1726503282391.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_chandlerzhang001|
+|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/chandlerzhang001/marian-finetuned-kde4-en-to-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_gnjs_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_gnjs_pipeline_en.md
new file mode 100644
index 00000000000000..fe8ada3b2b23d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_gnjs_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_gnjs_pipeline pipeline MarianTransformer from Gnjs
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_gnjs_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_tonga_tonga_islands_french_gnjs_pipeline` is a English model originally trained by Gnjs.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_gnjs_pipeline_en_5.5.0_3.0_1726490850261.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_gnjs_pipeline_en_5.5.0_3.0_1726490850261.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_gnjs_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_french_gnjs_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marian_finetuned_kde4_english_tonga_tonga_islands_french_gnjs_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|508.7 MB|
+
+## References
+
+https://huggingface.co/Gnjs/marian-finetuned-kde4-en-to-fr
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_heyw_en.md b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_heyw_en.md
new file mode 100644
index 00000000000000..53ab3af8fbc514
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_heyw_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_heyw MarianTransformer from heyw
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_heyw
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_tonga_tonga_islands_french_heyw` is a English model originally trained by heyw.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_heyw_en_5.5.0_3.0_1726503092251.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_heyw_en_5.5.0_3.0_1726503092251.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_heyw|
+|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/heyw/marian-finetuned-kde4-en-to-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_heyw_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_heyw_pipeline_en.md
new file mode 100644
index 00000000000000..3dc4639c961e29
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_heyw_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_heyw_pipeline pipeline MarianTransformer from heyw
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_heyw_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_tonga_tonga_islands_french_heyw_pipeline` is a English model originally trained by heyw.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_heyw_pipeline_en_5.5.0_3.0_1726503116762.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_heyw_pipeline_en_5.5.0_3.0_1726503116762.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_heyw_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_french_heyw_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marian_finetuned_kde4_english_tonga_tonga_islands_french_heyw_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|509.0 MB|
+
+## References
+
+https://huggingface.co/heyw/marian-finetuned-kde4-en-to-fr
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_ryannhally_en.md b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_ryannhally_en.md
new file mode 100644
index 00000000000000..9132665ea687c6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_ryannhally_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_ryannhally MarianTransformer from ryannhally
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_ryannhally
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_tonga_tonga_islands_french_ryannhally` is a English model originally trained by ryannhally.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_ryannhally_en_5.5.0_3.0_1726491296540.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_ryannhally_en_5.5.0_3.0_1726491296540.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_ryannhally|
+|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/ryannhally/marian-finetuned-kde4-en-to-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_ryannhally_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_ryannhally_pipeline_en.md
new file mode 100644
index 00000000000000..a80375090f4ff7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_ryannhally_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_ryannhally_pipeline pipeline MarianTransformer from ryannhally
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_ryannhally_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_tonga_tonga_islands_french_ryannhally_pipeline` is a English model originally trained by ryannhally.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_ryannhally_pipeline_en_5.5.0_3.0_1726491322107.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_ryannhally_pipeline_en_5.5.0_3.0_1726491322107.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_ryannhally_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_french_ryannhally_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marian_finetuned_kde4_english_tonga_tonga_islands_french_ryannhally_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|508.6 MB|
+
+## References
+
+https://huggingface.co/ryannhally/marian-finetuned-kde4-en-to-fr
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_uo282422_en.md b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_uo282422_en.md
new file mode 100644
index 00000000000000..f94cbc1c07a292
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_uo282422_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_uo282422 MarianTransformer from uo282422
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_uo282422
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_tonga_tonga_islands_french_uo282422` is a English model originally trained by uo282422.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_uo282422_en_5.5.0_3.0_1726491470940.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_uo282422_en_5.5.0_3.0_1726491470940.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_uo282422|
+|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/uo282422/marian-finetuned-kde4-en-to-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_uo282422_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_uo282422_pipeline_en.md
new file mode 100644
index 00000000000000..7ca7c67fcf4b79
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_french_uo282422_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_uo282422_pipeline pipeline MarianTransformer from uo282422
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_uo282422_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_tonga_tonga_islands_french_uo282422_pipeline` is a English model originally trained by uo282422.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_uo282422_pipeline_en_5.5.0_3.0_1726491496624.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_uo282422_pipeline_en_5.5.0_3.0_1726491496624.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_uo282422_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_french_uo282422_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marian_finetuned_kde4_english_tonga_tonga_islands_french_uo282422_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|508.7 MB|
+
+## References
+
+https://huggingface.co/uo282422/marian-finetuned-kde4-en-to-fr
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_japanese_en.md b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_japanese_en.md
new file mode 100644
index 00000000000000..760443710c89ad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-marian_finetuned_kde4_english_tonga_tonga_islands_japanese_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_japanese MarianTransformer from amacbee
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_japanese
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_tonga_tonga_islands_japanese` is a English model originally trained by amacbee.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_japanese_en_5.5.0_3.0_1726490999949.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_japanese_en_5.5.0_3.0_1726490999949.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_japanese|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|430.3 MB|
+
+## References
+
+https://huggingface.co/amacbee/marian-finetuned-kde4-en-to-ja
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-marian_maltese_nigerian_pidgin_english_en.md b/docs/_posts/ahmedlone127/2024-09-16-marian_maltese_nigerian_pidgin_english_en.md
new file mode 100644
index 00000000000000..a03cbee472c41a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-marian_maltese_nigerian_pidgin_english_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English marian_maltese_nigerian_pidgin_english MarianTransformer from Enutrof
+author: John Snow Labs
+name: marian_maltese_nigerian_pidgin_english
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_maltese_nigerian_pidgin_english` is a English model originally trained by Enutrof.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_maltese_nigerian_pidgin_english_en_5.5.0_3.0_1726493761691.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marian_maltese_nigerian_pidgin_english_en_5.5.0_3.0_1726493761691.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marian_maltese_rom_romanian|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|ro|
+|Size:|508.5 MB|
+
+## References
+
+https://huggingface.co/IoanRazvan/marian_mt_rom_ro
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-marian_prelim_emea_enfr_en.md b/docs/_posts/ahmedlone127/2024-09-16-marian_prelim_emea_enfr_en.md
new file mode 100644
index 00000000000000..6edd1983ea5a2d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-marian_prelim_emea_enfr_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English marian_prelim_emea_enfr MarianTransformer from ethansimrm
+author: John Snow Labs
+name: marian_prelim_emea_enfr
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_prelim_emea_enfr` is a English model originally trained by ethansimrm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_prelim_emea_enfr_en_5.5.0_3.0_1726494311713.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marian_prelim_emea_enfr_en_5.5.0_3.0_1726494311713.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marian_prelim_emea_enfr|
+|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/ethansimrm/marian_prelim_emea_enfr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-marian_prelim_emea_enfr_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-marian_prelim_emea_enfr_pipeline_en.md
new file mode 100644
index 00000000000000..3ec6eb1a8fb023
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-marian_prelim_emea_enfr_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English marian_prelim_emea_enfr_pipeline pipeline MarianTransformer from ethansimrm
+author: John Snow Labs
+name: marian_prelim_emea_enfr_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_prelim_emea_enfr_pipeline` is a English model originally trained by ethansimrm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_prelim_emea_enfr_pipeline_en_5.5.0_3.0_1726494336506.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/marian_prelim_emea_enfr_pipeline_en_5.5.0_3.0_1726494336506.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("marian_prelim_emea_enfr_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marian_prelim_emea_enfr_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marian_prelim_emea_enfr_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|508.8 MB|
+
+## References
+
+https://huggingface.co/ethansimrm/marian_prelim_emea_enfr
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-medical_english_chinese_8_18_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-medical_english_chinese_8_18_pipeline_en.md
new file mode 100644
index 00000000000000..bf43677e160609
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-medical_english_chinese_8_18_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English medical_english_chinese_8_18_pipeline pipeline MarianTransformer from DogGoesBark
+author: John Snow Labs
+name: medical_english_chinese_8_18_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`medical_english_chinese_8_18_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_18_pipeline_en_5.5.0_3.0_1726491413026.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/medical_english_chinese_8_18_pipeline_en_5.5.0_3.0_1726491413026.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_18_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("medical_english_chinese_8_18_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|medical_english_chinese_8_18_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|541.8 MB|
+
+## References
+
+https://huggingface.co/DogGoesBark/medical_en_zh_8_18
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-mental_bert_base_uncased_finetuned_depression_en.md b/docs/_posts/ahmedlone127/2024-09-16-mental_bert_base_uncased_finetuned_depression_en.md
new file mode 100644
index 00000000000000..d2f57659fd49b4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-mental_bert_base_uncased_finetuned_depression_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English mental_bert_base_uncased_finetuned_depression BertForSequenceClassification from welsachy
+author: John Snow Labs
+name: mental_bert_base_uncased_finetuned_depression
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mental_bert_base_uncased_finetuned_depression` is a English model originally trained by welsachy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mental_bert_base_uncased_finetuned_depression_en_5.5.0_3.0_1726492646773.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mental_bert_base_uncased_finetuned_depression_en_5.5.0_3.0_1726492646773.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mental_bert_base_uncased_finetuned_depression|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|408.8 MB|
+
+## References
+
+https://huggingface.co/welsachy/mental-bert-base-uncased-finetuned-depression
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-mental_bert_base_uncased_finetuned_depression_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-mental_bert_base_uncased_finetuned_depression_pipeline_en.md
new file mode 100644
index 00000000000000..8c33f38161399c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-mental_bert_base_uncased_finetuned_depression_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English mental_bert_base_uncased_finetuned_depression_pipeline pipeline BertForSequenceClassification from welsachy
+author: John Snow Labs
+name: mental_bert_base_uncased_finetuned_depression_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mental_bert_base_uncased_finetuned_depression_pipeline` is a English model originally trained by welsachy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mental_bert_base_uncased_finetuned_depression_pipeline_en_5.5.0_3.0_1726492666807.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mental_bert_base_uncased_finetuned_depression_pipeline_en_5.5.0_3.0_1726492666807.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mental_bert_base_uncased_finetuned_depression_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mental_bert_base_uncased_finetuned_depression_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mental_bert_base_uncased_finetuned_depression_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|408.9 MB|
+
+## References
+
+https://huggingface.co/welsachy/mental-bert-base-uncased-finetuned-depression
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-mix2_japanese_english_helsinki_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-mix2_japanese_english_helsinki_pipeline_en.md
new file mode 100644
index 00000000000000..52e0c3469bdf80
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-mix2_japanese_english_helsinki_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English mix2_japanese_english_helsinki_pipeline pipeline MarianTransformer from twieland
+author: John Snow Labs
+name: mix2_japanese_english_helsinki_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`mix2_japanese_english_helsinki_pipeline` is a English model originally trained by twieland.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/mix2_japanese_english_helsinki_pipeline_en_5.5.0_3.0_1726465224112.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/mix2_japanese_english_helsinki_pipeline_en_5.5.0_3.0_1726465224112.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("mix2_japanese_english_helsinki_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("mix2_japanese_english_helsinki_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|mix2_japanese_english_helsinki_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|518.2 MB|
+
+## References
+
+https://huggingface.co/twieland/MIX2_ja-en_helsinki
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-multiple_languages_coptic_english_norm_group_greekified_en.md b/docs/_posts/ahmedlone127/2024-09-16-multiple_languages_coptic_english_norm_group_greekified_en.md
new file mode 100644
index 00000000000000..dc6b280f885051
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-multiple_languages_coptic_english_norm_group_greekified_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English multiple_languages_coptic_english_norm_group_greekified MarianTransformer from megalaa
+author: John Snow Labs
+name: multiple_languages_coptic_english_norm_group_greekified
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`multiple_languages_coptic_english_norm_group_greekified` is a English model originally trained by megalaa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/multiple_languages_coptic_english_norm_group_greekified_en_5.5.0_3.0_1726503214871.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/multiple_languages_coptic_english_norm_group_greekified_en_5.5.0_3.0_1726503214871.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|multiple_languages_coptic_english_norm_group_greekified|
+|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/megalaa/mul-cop-en-norm-group-greekified
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-multiple_languages_coptic_english_norm_group_greekified_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-multiple_languages_coptic_english_norm_group_greekified_pipeline_en.md
new file mode 100644
index 00000000000000..387ba27518f433
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-multiple_languages_coptic_english_norm_group_greekified_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English multiple_languages_coptic_english_norm_group_greekified_pipeline pipeline MarianTransformer from megalaa
+author: John Snow Labs
+name: multiple_languages_coptic_english_norm_group_greekified_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`multiple_languages_coptic_english_norm_group_greekified_pipeline` is a English model originally trained by megalaa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/multiple_languages_coptic_english_norm_group_greekified_pipeline_en_5.5.0_3.0_1726503240630.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/multiple_languages_coptic_english_norm_group_greekified_pipeline_en_5.5.0_3.0_1726503240630.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("multiple_languages_coptic_english_norm_group_greekified_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("multiple_languages_coptic_english_norm_group_greekified_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|multiple_languages_coptic_english_norm_group_greekified_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|533.1 MB|
+
+## References
+
+https://huggingface.co/megalaa/mul-cop-en-norm-group-greekified
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-n_distilbert_twitterfin_padding20model_en.md b/docs/_posts/ahmedlone127/2024-09-16-n_distilbert_twitterfin_padding20model_en.md
new file mode 100644
index 00000000000000..f5fd94759901e8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-n_distilbert_twitterfin_padding20model_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English n_distilbert_twitterfin_padding20model DistilBertForSequenceClassification from Realgon
+author: John Snow Labs
+name: n_distilbert_twitterfin_padding20model
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`n_distilbert_twitterfin_padding20model` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/n_distilbert_twitterfin_padding20model_en_5.5.0_3.0_1726506212047.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/n_distilbert_twitterfin_padding20model_en_5.5.0_3.0_1726506212047.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|n_distilbert_twitterfin_padding20model|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Realgon/N_distilbert_twitterfin_padding20model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-n_distilbert_twitterfin_padding20model_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-n_distilbert_twitterfin_padding20model_pipeline_en.md
new file mode 100644
index 00000000000000..82fa3e4d6c34cd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-n_distilbert_twitterfin_padding20model_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English n_distilbert_twitterfin_padding20model_pipeline pipeline DistilBertForSequenceClassification from Realgon
+author: John Snow Labs
+name: n_distilbert_twitterfin_padding20model_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`n_distilbert_twitterfin_padding20model_pipeline` is a English model originally trained by Realgon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/n_distilbert_twitterfin_padding20model_pipeline_en_5.5.0_3.0_1726506223464.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/n_distilbert_twitterfin_padding20model_pipeline_en_5.5.0_3.0_1726506223464.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("n_distilbert_twitterfin_padding20model_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("n_distilbert_twitterfin_padding20model_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|n_distilbert_twitterfin_padding20model_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/Realgon/N_distilbert_twitterfin_padding20model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-nerd_nerd_random0_seed0_twitter_roberta_base_dec2020_en.md b/docs/_posts/ahmedlone127/2024-09-16-nerd_nerd_random0_seed0_twitter_roberta_base_dec2020_en.md
new file mode 100644
index 00000000000000..f840f9883ecd57
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-nerd_nerd_random0_seed0_twitter_roberta_base_dec2020_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English nerd_nerd_random0_seed0_twitter_roberta_base_dec2020 RoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: nerd_nerd_random0_seed0_twitter_roberta_base_dec2020
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nerd_nerd_random0_seed0_twitter_roberta_base_dec2020` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nerd_nerd_random0_seed0_twitter_roberta_base_dec2020_en_5.5.0_3.0_1726517972249.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nerd_nerd_random0_seed0_twitter_roberta_base_dec2020_en_5.5.0_3.0_1726517972249.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_random0_seed0_twitter_roberta_base_dec2020|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/nerd-nerd_random0_seed0-twitter-roberta-base-dec2020
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-nerubios_roberta_base_bne_training_development_en.md b/docs/_posts/ahmedlone127/2024-09-16-nerubios_roberta_base_bne_training_development_en.md
new file mode 100644
index 00000000000000..68ed8b6697445f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-nerubios_roberta_base_bne_training_development_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English nerubios_roberta_base_bne_training_development RoBertaForTokenClassification from ajtamayoh
+author: John Snow Labs
+name: nerubios_roberta_base_bne_training_development
+date: 2024-09-16
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nerubios_roberta_base_bne_training_development` is a English model originally trained by ajtamayoh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nerubios_roberta_base_bne_training_development_en_5.5.0_3.0_1726482867824.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nerubios_roberta_base_bne_training_development_en_5.5.0_3.0_1726482867824.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nerubios_roberta_base_bne_training_development|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|437.6 MB|
+
+## References
+
+https://huggingface.co/ajtamayoh/NeRUBioS_RoBERTa_base_bne_Training_Development
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-nerubios_roberta_base_bne_training_development_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-nerubios_roberta_base_bne_training_development_pipeline_en.md
new file mode 100644
index 00000000000000..2d48922c5814eb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-nerubios_roberta_base_bne_training_development_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English nerubios_roberta_base_bne_training_development_pipeline pipeline RoBertaForTokenClassification from ajtamayoh
+author: John Snow Labs
+name: nerubios_roberta_base_bne_training_development_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nerubios_roberta_base_bne_training_development_pipeline` is a English model originally trained by ajtamayoh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nerubios_roberta_base_bne_training_development_pipeline_en_5.5.0_3.0_1726482890469.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nerubios_roberta_base_bne_training_development_pipeline_en_5.5.0_3.0_1726482890469.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nerubios_roberta_base_bne_training_development_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nerubios_roberta_base_bne_training_development_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nerubios_roberta_base_bne_training_development_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|437.6 MB|
+
+## References
+
+https://huggingface.co/ajtamayoh/NeRUBioS_RoBERTa_base_bne_Training_Development
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-newspapers_procon_spanish_en.md b/docs/_posts/ahmedlone127/2024-09-16-newspapers_procon_spanish_en.md
new file mode 100644
index 00000000000000..d1a8c7dc6cbf3e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-newspapers_procon_spanish_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English newspapers_procon_spanish BertForSequenceClassification from taniwasl
+author: John Snow Labs
+name: newspapers_procon_spanish
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`newspapers_procon_spanish` is a English model originally trained by taniwasl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/newspapers_procon_spanish_en_5.5.0_3.0_1726499300434.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/newspapers_procon_spanish_en_5.5.0_3.0_1726499300434.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|newspapers_procon_spanish|
+|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/taniwasl/newspapers_procon_es
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-newspapers_procon_spanish_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-newspapers_procon_spanish_pipeline_en.md
new file mode 100644
index 00000000000000..190184d8ae19df
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-newspapers_procon_spanish_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English newspapers_procon_spanish_pipeline pipeline BertForSequenceClassification from taniwasl
+author: John Snow Labs
+name: newspapers_procon_spanish_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`newspapers_procon_spanish_pipeline` is a English model originally trained by taniwasl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/newspapers_procon_spanish_pipeline_en_5.5.0_3.0_1726499320299.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/newspapers_procon_spanish_pipeline_en_5.5.0_3.0_1726499320299.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("newspapers_procon_spanish_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("newspapers_procon_spanish_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|newspapers_procon_spanish_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|411.7 MB|
+
+## References
+
+https://huggingface.co/taniwasl/newspapers_procon_es
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-nusabert_large_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-nusabert_large_pipeline_en.md
new file mode 100644
index 00000000000000..4d35d487238b94
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-nusabert_large_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English nusabert_large_pipeline pipeline BertEmbeddings from LazarusNLP
+author: John Snow Labs
+name: nusabert_large_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`nusabert_large_pipeline` is a English model originally trained by LazarusNLP.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/nusabert_large_pipeline_en_5.5.0_3.0_1726468483967.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/nusabert_large_pipeline_en_5.5.0_3.0_1726468483967.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("nusabert_large_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("nusabert_large_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|nusabert_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/LazarusNLP/NusaBERT-large
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-opus_base_wce_random_en.md b/docs/_posts/ahmedlone127/2024-09-16-opus_base_wce_random_en.md
new file mode 100644
index 00000000000000..c71d36c26aca3f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-opus_base_wce_random_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_base_wce_random MarianTransformer from ethansimrm
+author: John Snow Labs
+name: opus_base_wce_random
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_base_wce_random` is a English model originally trained by ethansimrm.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_base_wce_random_en_5.5.0_3.0_1726503027985.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_base_wce_random_en_5.5.0_3.0_1726503027985.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_random|
+|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_random
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-opus_english_vietnamese_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-opus_english_vietnamese_pipeline_en.md
new file mode 100644
index 00000000000000..86914fa4c8c5c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-opus_english_vietnamese_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_english_vietnamese_pipeline pipeline MarianTransformer from Kudod
+author: John Snow Labs
+name: opus_english_vietnamese_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_english_vietnamese_pipeline` is a English model originally trained by Kudod.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_english_vietnamese_pipeline_en_5.5.0_3.0_1726494122230.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_english_vietnamese_pipeline_en_5.5.0_3.0_1726494122230.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_english_vietnamese_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_english_vietnamese_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_english_vietnamese_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|475.7 MB|
+
+## References
+
+https://huggingface.co/Kudod/opus-en-vi
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_chinese_english_finetuned_chn_tonga_tonga_islands_eng_en.md b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_chinese_english_finetuned_chn_tonga_tonga_islands_eng_en.md
new file mode 100644
index 00000000000000..86570366629859
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_chinese_english_finetuned_chn_tonga_tonga_islands_eng_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_chinese_english_finetuned_chn_tonga_tonga_islands_eng MarianTransformer from ketong3906
+author: John Snow Labs
+name: opus_maltese_chinese_english_finetuned_chn_tonga_tonga_islands_eng
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_chinese_english_finetuned_chn_tonga_tonga_islands_eng` is a English model originally trained by ketong3906.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_chinese_english_finetuned_chn_tonga_tonga_islands_eng_en_5.5.0_3.0_1726509829777.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_chinese_english_finetuned_chn_tonga_tonga_islands_eng_en_5.5.0_3.0_1726509829777.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_chinese_english_finetuned_chn_tonga_tonga_islands_eng|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|540.3 MB|
+
+## References
+
+https://huggingface.co/ketong3906/opus-mt-zh-en-finetuned-chn-to-eng
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_chinese_english_finetuned_chn_tonga_tonga_islands_eng_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_chinese_english_finetuned_chn_tonga_tonga_islands_eng_pipeline_en.md
new file mode 100644
index 00000000000000..fcb5d7d59d837f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_chinese_english_finetuned_chn_tonga_tonga_islands_eng_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_chinese_english_finetuned_chn_tonga_tonga_islands_eng_pipeline pipeline MarianTransformer from ketong3906
+author: John Snow Labs
+name: opus_maltese_chinese_english_finetuned_chn_tonga_tonga_islands_eng_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_chinese_english_finetuned_chn_tonga_tonga_islands_eng_pipeline` is a English model originally trained by ketong3906.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_chinese_english_finetuned_chn_tonga_tonga_islands_eng_pipeline_en_5.5.0_3.0_1726509854178.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_chinese_english_finetuned_chn_tonga_tonga_islands_eng_pipeline_en_5.5.0_3.0_1726509854178.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_chn_tonga_tonga_islands_eng_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_chinese_english_finetuned_chn_tonga_tonga_islands_eng_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_chinese_english_finetuned_chn_tonga_tonga_islands_eng_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|540.8 MB|
+
+## References
+
+https://huggingface.co/ketong3906/opus-mt-zh-en-finetuned-chn-to-eng
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_french_finetuned_english_tonga_tonga_islands_french_devaibest_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_french_finetuned_english_tonga_tonga_islands_french_devaibest_pipeline_en.md
new file mode 100644
index 00000000000000..607fb6baac834d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_french_finetuned_english_tonga_tonga_islands_french_devaibest_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_english_french_finetuned_english_tonga_tonga_islands_french_devaibest_pipeline pipeline MarianTransformer from DevAibest
+author: John Snow Labs
+name: opus_maltese_english_french_finetuned_english_tonga_tonga_islands_french_devaibest_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_french_finetuned_english_tonga_tonga_islands_french_devaibest_pipeline` is a English model originally trained by DevAibest.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_french_finetuned_english_tonga_tonga_islands_french_devaibest_pipeline_en_5.5.0_3.0_1726503457261.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_french_finetuned_english_tonga_tonga_islands_french_devaibest_pipeline_en_5.5.0_3.0_1726503457261.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_english_french_finetuned_english_tonga_tonga_islands_french_devaibest_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_english_french_finetuned_english_tonga_tonga_islands_french_devaibest_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_french_finetuned_english_tonga_tonga_islands_french_devaibest_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|508.9 MB|
+
+## References
+
+https://huggingface.co/DevAibest/opus-mt-en-fr-finetuned-en-to-fr
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_ganda_finetuned_english_tonga_tonga_islands_ganda_finetuned_english_tonga_tonga_islands_lm_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_ganda_finetuned_english_tonga_tonga_islands_ganda_finetuned_english_tonga_tonga_islands_lm_pipeline_en.md
new file mode 100644
index 00000000000000..5b7cafd4a8b03e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_ganda_finetuned_english_tonga_tonga_islands_ganda_finetuned_english_tonga_tonga_islands_lm_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_lm_pipeline pipeline MarianTransformer from Eyesiga
+author: John Snow Labs
+name: opus_maltese_english_ganda_finetuned_english_tonga_tonga_islands_ganda_finetuned_english_tonga_tonga_islands_lm_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_ganda_finetuned_english_tonga_tonga_islands_ganda_finetuned_english_tonga_tonga_islands_lm_pipeline` is a English model originally trained by Eyesiga.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_ganda_finetuned_english_tonga_tonga_islands_ganda_finetuned_english_tonga_tonga_islands_lm_pipeline_en_5.5.0_3.0_1726457577877.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_ganda_finetuned_english_tonga_tonga_islands_ganda_finetuned_english_tonga_tonga_islands_lm_pipeline_en_5.5.0_3.0_1726457577877.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_lm_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_lm_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_lm_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|514.9 MB|
+
+## References
+
+https://huggingface.co/Eyesiga/opus-mt-en-lg-finetuned-en-to-lg-finetuned-en-to-lm
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_german_finetuned_english_tonga_tonga_islands_german_zannabethl_en.md b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_german_finetuned_english_tonga_tonga_islands_german_zannabethl_en.md
new file mode 100644
index 00000000000000..5a143c018a645e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_german_finetuned_english_tonga_tonga_islands_german_zannabethl_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_english_german_finetuned_english_tonga_tonga_islands_german_zannabethl MarianTransformer from zannabethl
+author: John Snow Labs
+name: opus_maltese_english_german_finetuned_english_tonga_tonga_islands_german_zannabethl
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_german_finetuned_english_tonga_tonga_islands_german_zannabethl` is a English model originally trained by zannabethl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_german_finetuned_english_tonga_tonga_islands_german_zannabethl_en_5.5.0_3.0_1726493963988.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_german_finetuned_english_tonga_tonga_islands_german_zannabethl_en_5.5.0_3.0_1726493963988.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_german_finetuned_english_tonga_tonga_islands_german_zannabethl|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|499.5 MB|
+
+## References
+
+https://huggingface.co/zannabethl/opus-mt-en-de-finetuned-en-to-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_german_finetuned_english_tonga_tonga_islands_german_zannabethl_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_german_finetuned_english_tonga_tonga_islands_german_zannabethl_pipeline_en.md
new file mode 100644
index 00000000000000..c591081f257271
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_german_finetuned_english_tonga_tonga_islands_german_zannabethl_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_english_german_finetuned_english_tonga_tonga_islands_german_zannabethl_pipeline pipeline MarianTransformer from zannabethl
+author: John Snow Labs
+name: opus_maltese_english_german_finetuned_english_tonga_tonga_islands_german_zannabethl_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_german_finetuned_english_tonga_tonga_islands_german_zannabethl_pipeline` is a English model originally trained by zannabethl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_german_finetuned_english_tonga_tonga_islands_german_zannabethl_pipeline_en_5.5.0_3.0_1726493988234.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_german_finetuned_english_tonga_tonga_islands_german_zannabethl_pipeline_en_5.5.0_3.0_1726493988234.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_english_german_finetuned_english_tonga_tonga_islands_german_zannabethl_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_english_german_finetuned_english_tonga_tonga_islands_german_zannabethl_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_german_finetuned_english_tonga_tonga_islands_german_zannabethl_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|500.0 MB|
+
+## References
+
+https://huggingface.co/zannabethl/opus-mt-en-de-finetuned-en-to-de
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_bishalbaaniya_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_bishalbaaniya_pipeline_en.md
new file mode 100644
index 00000000000000..e0c0ad0a89d052
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_bishalbaaniya_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_bishalbaaniya_pipeline pipeline MarianTransformer from bishalbaaniya
+author: John Snow Labs
+name: opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_bishalbaaniya_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_bishalbaaniya_pipeline` is a English model originally trained by bishalbaaniya.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_bishalbaaniya_pipeline_en_5.5.0_3.0_1726457312109.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_bishalbaaniya_pipeline_en_5.5.0_3.0_1726457312109.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_bishalbaaniya_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_bishalbaaniya_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_bishalbaaniya_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|509.2 MB|
+
+## References
+
+https://huggingface.co/bishalbaaniya/opus-mt-en-ro-finetuned-en-to-ro
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_diegoalysson_en.md b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_diegoalysson_en.md
new file mode 100644
index 00000000000000..087e3279a4b157
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_diegoalysson_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_diegoalysson MarianTransformer from DiegoAlysson
+author: John Snow Labs
+name: opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_diegoalysson
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_diegoalysson` is a English model originally trained by DiegoAlysson.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_diegoalysson_en_5.5.0_3.0_1726491028767.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_diegoalysson_en_5.5.0_3.0_1726491028767.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_diegoalysson|
+|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/DiegoAlysson/opus-mt-en-ro-finetuned-en-to-ro
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_fxshan_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_fxshan_pipeline_en.md
new file mode 100644
index 00000000000000..96b645a001c6d9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_fxshan_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_fxshan_pipeline pipeline MarianTransformer from fxshan
+author: John Snow Labs
+name: opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_fxshan_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_fxshan_pipeline` is a English model originally trained by fxshan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_fxshan_pipeline_en_5.5.0_3.0_1726491604736.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_fxshan_pipeline_en_5.5.0_3.0_1726491604736.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_fxshan_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_fxshan_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_fxshan_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|509.1 MB|
+
+## References
+
+https://huggingface.co/fxshan/opus-mt-en-ro-finetuned-en-to-ro
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_shadman_rohan_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_shadman_rohan_pipeline_en.md
new file mode 100644
index 00000000000000..60404e282fc811
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_shadman_rohan_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_shadman_rohan_pipeline pipeline MarianTransformer from Shadman-Rohan
+author: John Snow Labs
+name: opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_shadman_rohan_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_shadman_rohan_pipeline` is a English model originally trained by Shadman-Rohan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_shadman_rohan_pipeline_en_5.5.0_3.0_1726493946198.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_shadman_rohan_pipeline_en_5.5.0_3.0_1726493946198.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_shadman_rohan_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_shadman_rohan_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_shadman_rohan_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|509.1 MB|
+
+## References
+
+https://huggingface.co/Shadman-Rohan/opus-mt-en-ro-finetuned-en-to-ro
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_sy23_en.md b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_sy23_en.md
new file mode 100644
index 00000000000000..1048b868061808
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_sy23_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_sy23 MarianTransformer from SY23
+author: John Snow Labs
+name: opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_sy23
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_sy23` is a English model originally trained by SY23.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_sy23_en_5.5.0_3.0_1726457869457.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_sy23_en_5.5.0_3.0_1726457869457.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_sy23|
+|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/SY23/opus-mt-en-ro-finetuned-en-to-ro
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_yeshanp_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_yeshanp_pipeline_en.md
new file mode 100644
index 00000000000000..5d186d5c58ddb0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_yeshanp_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_yeshanp_pipeline pipeline MarianTransformer from yeshanp
+author: John Snow Labs
+name: opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_yeshanp_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_yeshanp_pipeline` is a English model originally trained by yeshanp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_yeshanp_pipeline_en_5.5.0_3.0_1726509955573.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_yeshanp_pipeline_en_5.5.0_3.0_1726509955573.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_yeshanp_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_yeshanp_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_yeshanp_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|509.1 MB|
+
+## References
+
+https://huggingface.co/yeshanp/opus-mt-en-ro-finetuned-en-to-ro
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_romanian_finetuned_romanian_tonga_tonga_islands_english_pontifexmaximus_en.md b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_romanian_finetuned_romanian_tonga_tonga_islands_english_pontifexmaximus_en.md
new file mode 100644
index 00000000000000..5165de69df03d8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_romanian_finetuned_romanian_tonga_tonga_islands_english_pontifexmaximus_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_english_romanian_finetuned_romanian_tonga_tonga_islands_english_pontifexmaximus MarianTransformer from PontifexMaximus
+author: John Snow Labs
+name: opus_maltese_english_romanian_finetuned_romanian_tonga_tonga_islands_english_pontifexmaximus
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_romanian_finetuned_romanian_tonga_tonga_islands_english_pontifexmaximus` is a English model originally trained by PontifexMaximus.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_romanian_tonga_tonga_islands_english_pontifexmaximus_en_5.5.0_3.0_1726503446089.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_romanian_tonga_tonga_islands_english_pontifexmaximus_en_5.5.0_3.0_1726503446089.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_romanian_tonga_tonga_islands_english_pontifexmaximus|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|495.8 MB|
+
+## References
+
+https://huggingface.co/PontifexMaximus/opus-mt-en-ro-finetuned-ro-to-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_romanian_finetuned_romanian_tonga_tonga_islands_english_pontifexmaximus_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_romanian_finetuned_romanian_tonga_tonga_islands_english_pontifexmaximus_pipeline_en.md
new file mode 100644
index 00000000000000..aaa1e997882194
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_romanian_finetuned_romanian_tonga_tonga_islands_english_pontifexmaximus_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_english_romanian_finetuned_romanian_tonga_tonga_islands_english_pontifexmaximus_pipeline pipeline MarianTransformer from PontifexMaximus
+author: John Snow Labs
+name: opus_maltese_english_romanian_finetuned_romanian_tonga_tonga_islands_english_pontifexmaximus_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_romanian_finetuned_romanian_tonga_tonga_islands_english_pontifexmaximus_pipeline` is a English model originally trained by PontifexMaximus.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_romanian_tonga_tonga_islands_english_pontifexmaximus_pipeline_en_5.5.0_3.0_1726503470797.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_romanian_tonga_tonga_islands_english_pontifexmaximus_pipeline_en_5.5.0_3.0_1726503470797.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_english_romanian_finetuned_romanian_tonga_tonga_islands_english_pontifexmaximus_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_english_romanian_finetuned_romanian_tonga_tonga_islands_english_pontifexmaximus_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_romanian_finetuned_romanian_tonga_tonga_islands_english_pontifexmaximus_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|496.3 MB|
+
+## References
+
+https://huggingface.co/PontifexMaximus/opus-mt-en-ro-finetuned-ro-to-en
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_russian_finetuned_en.md b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_russian_finetuned_en.md
new file mode 100644
index 00000000000000..5b114bb16bb1eb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_russian_finetuned_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_english_russian_finetuned MarianTransformer from kazandaev
+author: John Snow Labs
+name: opus_maltese_english_russian_finetuned
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_russian_finetuned` is a English model originally trained by kazandaev.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_russian_finetuned_en_5.5.0_3.0_1726503229391.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_russian_finetuned_en_5.5.0_3.0_1726503229391.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_russian_finetuned|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|526.5 MB|
+
+## References
+
+https://huggingface.co/kazandaev/opus-mt-en-ru-finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_russian_finetuned_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_russian_finetuned_pipeline_en.md
new file mode 100644
index 00000000000000..ec122814c87c77
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_russian_finetuned_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_english_russian_finetuned_pipeline pipeline MarianTransformer from kazandaev
+author: John Snow Labs
+name: opus_maltese_english_russian_finetuned_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_russian_finetuned_pipeline` is a English model originally trained by kazandaev.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_russian_finetuned_pipeline_en_5.5.0_3.0_1726503253744.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_russian_finetuned_pipeline_en_5.5.0_3.0_1726503253744.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_english_russian_finetuned_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_english_russian_finetuned_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_russian_finetuned_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|527.1 MB|
+
+## References
+
+https://huggingface.co/kazandaev/opus-mt-en-ru-finetuned
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_spanish_finetuned_spanish_tonga_tonga_islands_azz_en.md b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_spanish_finetuned_spanish_tonga_tonga_islands_azz_en.md
new file mode 100644
index 00000000000000..d86ba494d59d1e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_english_spanish_finetuned_spanish_tonga_tonga_islands_azz_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_english_spanish_finetuned_spanish_tonga_tonga_islands_azz MarianTransformer from mekjr1
+author: John Snow Labs
+name: opus_maltese_english_spanish_finetuned_spanish_tonga_tonga_islands_azz
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_spanish_finetuned_spanish_tonga_tonga_islands_azz` 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_azz_en_5.5.0_3.0_1726494372030.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_azz_en_5.5.0_3.0_1726494372030.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_azz|
+|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-azz
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_french_german_nepal_bhasa_finetuned_french_tonga_tonga_islands_wol_en.md b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_french_german_nepal_bhasa_finetuned_french_tonga_tonga_islands_wol_en.md
new file mode 100644
index 00000000000000..c08d21908f31ca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_french_german_nepal_bhasa_finetuned_french_tonga_tonga_islands_wol_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_french_german_nepal_bhasa_finetuned_french_tonga_tonga_islands_wol MarianTransformer from uriel
+author: John Snow Labs
+name: opus_maltese_french_german_nepal_bhasa_finetuned_french_tonga_tonga_islands_wol
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_french_german_nepal_bhasa_finetuned_french_tonga_tonga_islands_wol` is a English model originally trained by uriel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_french_german_nepal_bhasa_finetuned_french_tonga_tonga_islands_wol_en_5.5.0_3.0_1726494415295.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_french_german_nepal_bhasa_finetuned_french_tonga_tonga_islands_wol_en_5.5.0_3.0_1726494415295.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_german_nepal_bhasa_finetuned_french_tonga_tonga_islands_wol|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|517.6 MB|
+
+## References
+
+https://huggingface.co/uriel/opus-mt-fr-de-new-finetuned-fr-to-wol
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_french_german_nepal_bhasa_finetuned_french_tonga_tonga_islands_wol_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_french_german_nepal_bhasa_finetuned_french_tonga_tonga_islands_wol_pipeline_en.md
new file mode 100644
index 00000000000000..cfbb312d39d560
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_french_german_nepal_bhasa_finetuned_french_tonga_tonga_islands_wol_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_french_german_nepal_bhasa_finetuned_french_tonga_tonga_islands_wol_pipeline pipeline MarianTransformer from uriel
+author: John Snow Labs
+name: opus_maltese_french_german_nepal_bhasa_finetuned_french_tonga_tonga_islands_wol_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_french_german_nepal_bhasa_finetuned_french_tonga_tonga_islands_wol_pipeline` is a English model originally trained by uriel.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_french_german_nepal_bhasa_finetuned_french_tonga_tonga_islands_wol_pipeline_en_5.5.0_3.0_1726494439926.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_french_german_nepal_bhasa_finetuned_french_tonga_tonga_islands_wol_pipeline_en_5.5.0_3.0_1726494439926.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_french_german_nepal_bhasa_finetuned_french_tonga_tonga_islands_wol_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_french_german_nepal_bhasa_finetuned_french_tonga_tonga_islands_wol_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_french_german_nepal_bhasa_finetuned_french_tonga_tonga_islands_wol_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|518.1 MB|
+
+## References
+
+https://huggingface.co/uriel/opus-mt-fr-de-new-finetuned-fr-to-wol
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_indonesian_english_ccmatrix_warmup_best_loss_en.md b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_indonesian_english_ccmatrix_warmup_best_loss_en.md
new file mode 100644
index 00000000000000..ebaac55f98d591
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_indonesian_english_ccmatrix_warmup_best_loss_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_indonesian_english_ccmatrix_warmup_best_loss MarianTransformer from yonathanstwn
+author: John Snow Labs
+name: opus_maltese_indonesian_english_ccmatrix_warmup_best_loss
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_indonesian_english_ccmatrix_warmup_best_loss` is a English model originally trained by yonathanstwn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_indonesian_english_ccmatrix_warmup_best_loss_en_5.5.0_3.0_1726509742084.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_indonesian_english_ccmatrix_warmup_best_loss_en_5.5.0_3.0_1726509742084.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_indonesian_english_ccmatrix_warmup_best_loss|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|480.4 MB|
+
+## References
+
+https://huggingface.co/yonathanstwn/opus-mt-id-en-ccmatrix-warmup-best-loss
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_indonesian_english_ccmatrix_warmup_best_loss_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_indonesian_english_ccmatrix_warmup_best_loss_pipeline_en.md
new file mode 100644
index 00000000000000..a60bdf05c07560
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_indonesian_english_ccmatrix_warmup_best_loss_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_indonesian_english_ccmatrix_warmup_best_loss_pipeline pipeline MarianTransformer from yonathanstwn
+author: John Snow Labs
+name: opus_maltese_indonesian_english_ccmatrix_warmup_best_loss_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_indonesian_english_ccmatrix_warmup_best_loss_pipeline` is a English model originally trained by yonathanstwn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_indonesian_english_ccmatrix_warmup_best_loss_pipeline_en_5.5.0_3.0_1726509767633.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_indonesian_english_ccmatrix_warmup_best_loss_pipeline_en_5.5.0_3.0_1726509767633.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_indonesian_english_ccmatrix_warmup_best_loss_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_indonesian_english_ccmatrix_warmup_best_loss_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_indonesian_english_ccmatrix_warmup_best_loss_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|480.9 MB|
+
+## References
+
+https://huggingface.co/yonathanstwn/opus-mt-id-en-ccmatrix-warmup-best-loss
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_korean_english_finetuned_korean_tonga_tonga_islands_en4_en.md b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_korean_english_finetuned_korean_tonga_tonga_islands_en4_en.md
new file mode 100644
index 00000000000000..6c3d758ef6ab29
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_korean_english_finetuned_korean_tonga_tonga_islands_en4_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_korean_english_finetuned_korean_tonga_tonga_islands_en4 MarianTransformer from astrojihye
+author: John Snow Labs
+name: opus_maltese_korean_english_finetuned_korean_tonga_tonga_islands_en4
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_korean_english_finetuned_korean_tonga_tonga_islands_en4` is a English model originally trained by astrojihye.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_korean_english_finetuned_korean_tonga_tonga_islands_en4_en_5.5.0_3.0_1726503381528.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_en4_en_5.5.0_3.0_1726503381528.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_en4|
+|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/astrojihye/opus-mt-ko-en-finetuned-ko-to-en4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_korean_english_finetuned_korean_tonga_tonga_islands_en4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_korean_english_finetuned_korean_tonga_tonga_islands_en4_pipeline_en.md
new file mode 100644
index 00000000000000..402100062aaf03
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_korean_english_finetuned_korean_tonga_tonga_islands_en4_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_korean_english_finetuned_korean_tonga_tonga_islands_en4_pipeline pipeline MarianTransformer from astrojihye
+author: John Snow Labs
+name: opus_maltese_korean_english_finetuned_korean_tonga_tonga_islands_en4_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_korean_english_finetuned_korean_tonga_tonga_islands_en4_pipeline` is a English model originally trained by astrojihye.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_korean_english_finetuned_korean_tonga_tonga_islands_en4_pipeline_en_5.5.0_3.0_1726503407075.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_en4_pipeline_en_5.5.0_3.0_1726503407075.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_korean_english_finetuned_korean_tonga_tonga_islands_en4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_korean_english_finetuned_korean_tonga_tonga_islands_en4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_korean_english_finetuned_korean_tonga_tonga_islands_en4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|541.2 MB|
+
+## References
+
+https://huggingface.co/astrojihye/opus-mt-ko-en-finetuned-ko-to-en4
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_romanian_french_finetuned_romanian_tonga_tonga_islands_rup_en.md b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_romanian_french_finetuned_romanian_tonga_tonga_islands_rup_en.md
new file mode 100644
index 00000000000000..b4c74477eb1e09
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_romanian_french_finetuned_romanian_tonga_tonga_islands_rup_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_romanian_french_finetuned_romanian_tonga_tonga_islands_rup MarianTransformer from snisioi
+author: John Snow Labs
+name: opus_maltese_romanian_french_finetuned_romanian_tonga_tonga_islands_rup
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_romanian_french_finetuned_romanian_tonga_tonga_islands_rup` is a English model originally trained by snisioi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_romanian_french_finetuned_romanian_tonga_tonga_islands_rup_en_5.5.0_3.0_1726491652351.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_romanian_french_finetuned_romanian_tonga_tonga_islands_rup_en_5.5.0_3.0_1726491652351.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_romanian_french_finetuned_romanian_tonga_tonga_islands_rup|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|492.1 MB|
+
+## References
+
+https://huggingface.co/snisioi/opus-mt-ro-fr-finetuned-ro-to-rup
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_semitic_languages_english_finetuned_npomo_english_15_epochs_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_semitic_languages_english_finetuned_npomo_english_15_epochs_pipeline_en.md
new file mode 100644
index 00000000000000..5ee35e06f33760
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_semitic_languages_english_finetuned_npomo_english_15_epochs_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_semitic_languages_english_finetuned_npomo_english_15_epochs_pipeline pipeline MarianTransformer from UnassumingOwl
+author: John Snow Labs
+name: opus_maltese_semitic_languages_english_finetuned_npomo_english_15_epochs_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_semitic_languages_english_finetuned_npomo_english_15_epochs_pipeline` is a English model originally trained by UnassumingOwl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_semitic_languages_english_finetuned_npomo_english_15_epochs_pipeline_en_5.5.0_3.0_1726491207254.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_semitic_languages_english_finetuned_npomo_english_15_epochs_pipeline_en_5.5.0_3.0_1726491207254.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_semitic_languages_english_finetuned_npomo_english_15_epochs_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_semitic_languages_english_finetuned_npomo_english_15_epochs_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_semitic_languages_english_finetuned_npomo_english_15_epochs_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|519.2 MB|
+
+## References
+
+https://huggingface.co/UnassumingOwl/opus-mt-sem-en-finetuned-npomo-en-15-epochs
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_slavic_languages_english_finetuned_ukrainian_tonga_tonga_islands_english_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_slavic_languages_english_finetuned_ukrainian_tonga_tonga_islands_english_pipeline_en.md
new file mode 100644
index 00000000000000..f8218905415656
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_slavic_languages_english_finetuned_ukrainian_tonga_tonga_islands_english_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_slavic_languages_english_finetuned_ukrainian_tonga_tonga_islands_english_pipeline pipeline MarianTransformer from stopdoingmath
+author: John Snow Labs
+name: opus_maltese_slavic_languages_english_finetuned_ukrainian_tonga_tonga_islands_english_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_slavic_languages_english_finetuned_ukrainian_tonga_tonga_islands_english_pipeline` is a English model originally trained by stopdoingmath.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_slavic_languages_english_finetuned_ukrainian_tonga_tonga_islands_english_pipeline_en_5.5.0_3.0_1726490848525.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_slavic_languages_english_finetuned_ukrainian_tonga_tonga_islands_english_pipeline_en_5.5.0_3.0_1726490848525.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_slavic_languages_english_finetuned_ukrainian_tonga_tonga_islands_english_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_slavic_languages_english_finetuned_ukrainian_tonga_tonga_islands_english_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_slavic_languages_english_finetuned_ukrainian_tonga_tonga_islands_english_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|506.0 MB|
+
+## References
+
+https://huggingface.co/stopdoingmath/opus-mt-sla-en-finetuned-uk-to-en
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_tc_big_english_arabic_finetuned_franco_tonga_tonga_islands_arabic_3_en.md b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_tc_big_english_arabic_finetuned_franco_tonga_tonga_islands_arabic_3_en.md
new file mode 100644
index 00000000000000..562ac7bfc80c41
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_tc_big_english_arabic_finetuned_franco_tonga_tonga_islands_arabic_3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_tc_big_english_arabic_finetuned_franco_tonga_tonga_islands_arabic_3 MarianTransformer from mohamedtolba
+author: John Snow Labs
+name: opus_maltese_tc_big_english_arabic_finetuned_franco_tonga_tonga_islands_arabic_3
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_tc_big_english_arabic_finetuned_franco_tonga_tonga_islands_arabic_3` is a English model originally trained by mohamedtolba.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_tc_big_english_arabic_finetuned_franco_tonga_tonga_islands_arabic_3_en_5.5.0_3.0_1726494291975.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_tc_big_english_arabic_finetuned_franco_tonga_tonga_islands_arabic_3_en_5.5.0_3.0_1726494291975.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_tc_big_english_arabic_finetuned_franco_tonga_tonga_islands_arabic_3|
+|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/mohamedtolba/opus-mt-tc-big-en-ar-finetuned-franco-to-arabic-3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_tc_big_english_arabic_finetuned_franco_tonga_tonga_islands_arabic_3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_tc_big_english_arabic_finetuned_franco_tonga_tonga_islands_arabic_3_pipeline_en.md
new file mode 100644
index 00000000000000..6c8f5ff836c036
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_tc_big_english_arabic_finetuned_franco_tonga_tonga_islands_arabic_3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_tc_big_english_arabic_finetuned_franco_tonga_tonga_islands_arabic_3_pipeline pipeline MarianTransformer from mohamedtolba
+author: John Snow Labs
+name: opus_maltese_tc_big_english_arabic_finetuned_franco_tonga_tonga_islands_arabic_3_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_tc_big_english_arabic_finetuned_franco_tonga_tonga_islands_arabic_3_pipeline` is a English model originally trained by mohamedtolba.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_tc_big_english_arabic_finetuned_franco_tonga_tonga_islands_arabic_3_pipeline_en_5.5.0_3.0_1726494366047.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_tc_big_english_arabic_finetuned_franco_tonga_tonga_islands_arabic_3_pipeline_en_5.5.0_3.0_1726494366047.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_tc_big_english_arabic_finetuned_franco_tonga_tonga_islands_arabic_3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_tc_big_english_arabic_finetuned_franco_tonga_tonga_islands_arabic_3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_tc_big_english_arabic_finetuned_franco_tonga_tonga_islands_arabic_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/mohamedtolba/opus-mt-tc-big-en-ar-finetuned-franco-to-arabic-3
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_tc_big_finetuned_english_tonga_tonga_islands_french_en.md b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_tc_big_finetuned_english_tonga_tonga_islands_french_en.md
new file mode 100644
index 00000000000000..c75544c7d3ec7a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-opus_maltese_tc_big_finetuned_english_tonga_tonga_islands_french_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_tc_big_finetuned_english_tonga_tonga_islands_french MarianTransformer from DevAibest
+author: John Snow Labs
+name: opus_maltese_tc_big_finetuned_english_tonga_tonga_islands_french
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_tc_big_finetuned_english_tonga_tonga_islands_french` is a English model originally trained by DevAibest.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_tc_big_finetuned_english_tonga_tonga_islands_french_en_5.5.0_3.0_1726494079090.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_tc_big_finetuned_english_tonga_tonga_islands_french_en_5.5.0_3.0_1726494079090.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_tc_big_finetuned_english_tonga_tonga_islands_french|
+|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/DevAibest/opus-mt-tc-big-finetuned-en-to-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-opus_wmt_finetuned_enfr_ailem_2021_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-opus_wmt_finetuned_enfr_ailem_2021_pipeline_en.md
new file mode 100644
index 00000000000000..877db558f2c56d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-opus_wmt_finetuned_enfr_ailem_2021_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_wmt_finetuned_enfr_ailem_2021_pipeline pipeline MarianTransformer from ethansimrm
+author: John Snow Labs
+name: opus_wmt_finetuned_enfr_ailem_2021_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_wmt_finetuned_enfr_ailem_2021_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_ailem_2021_pipeline_en_5.5.0_3.0_1726490850500.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_wmt_finetuned_enfr_ailem_2021_pipeline_en_5.5.0_3.0_1726490850500.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_ailem_2021_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_wmt_finetuned_enfr_ailem_2021_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_wmt_finetuned_enfr_ailem_2021_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_ailem_2021
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-parapred_english_french_en.md b/docs/_posts/ahmedlone127/2024-09-16-parapred_english_french_en.md
new file mode 100644
index 00000000000000..b446acb8839767
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-parapred_english_french_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English parapred_english_french MarianTransformer from Ghani-25
+author: John Snow Labs
+name: parapred_english_french
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`parapred_english_french` is a English model originally trained by Ghani-25.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/parapred_english_french_en_5.5.0_3.0_1726494125071.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/parapred_english_french_en_5.5.0_3.0_1726494125071.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|passage_ranker_v1_xs_multilingual|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|xx|
+|Size:|61.0 MB|
+
+## References
+
+https://huggingface.co/sinequa/passage-ranker-v1-XS-multilingual
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-phrasebank_fine_tuned_twitter_base_roberta_en.md b/docs/_posts/ahmedlone127/2024-09-16-phrasebank_fine_tuned_twitter_base_roberta_en.md
new file mode 100644
index 00000000000000..66ae0cf966a447
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-phrasebank_fine_tuned_twitter_base_roberta_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English phrasebank_fine_tuned_twitter_base_roberta RoBertaForSequenceClassification from steve1989
+author: John Snow Labs
+name: phrasebank_fine_tuned_twitter_base_roberta
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`phrasebank_fine_tuned_twitter_base_roberta` is a English model originally trained by steve1989.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/phrasebank_fine_tuned_twitter_base_roberta_en_5.5.0_3.0_1726518105068.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/phrasebank_fine_tuned_twitter_base_roberta_en_5.5.0_3.0_1726518105068.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|projectta2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|479.8 MB|
+
+## References
+
+https://huggingface.co/Bekicot/ProjectTa2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-qa_model_shudhanshu009_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-qa_model_shudhanshu009_pipeline_en.md
new file mode 100644
index 00000000000000..8d4616d4554715
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-qa_model_shudhanshu009_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English qa_model_shudhanshu009_pipeline pipeline DistilBertForQuestionAnswering from shudhanshu009
+author: John Snow Labs
+name: qa_model_shudhanshu009_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`qa_model_shudhanshu009_pipeline` is a English model originally trained by shudhanshu009.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/qa_model_shudhanshu009_pipeline_en_5.5.0_3.0_1726515060673.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/qa_model_shudhanshu009_pipeline_en_5.5.0_3.0_1726515060673.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("qa_model_shudhanshu009_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("qa_model_shudhanshu009_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|qa_model_shudhanshu009_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/shudhanshu009/qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-qa_squad_roberta_based_en.md b/docs/_posts/ahmedlone127/2024-09-16-qa_squad_roberta_based_en.md
new file mode 100644
index 00000000000000..cb944ec036977b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-qa_squad_roberta_based_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English qa_squad_roberta_based RoBertaForQuestionAnswering from gasmartin
+author: John Snow Labs
+name: qa_squad_roberta_based
+date: 2024-09-16
+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.`qa_squad_roberta_based` is a English model originally trained by gasmartin.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/qa_squad_roberta_based_en_5.5.0_3.0_1726460345266.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/qa_squad_roberta_based_en_5.5.0_3.0_1726460345266.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_finetuned_elisa|
+|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/Elisa/question_answering_finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-question_answering_finetuned_elisa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-question_answering_finetuned_elisa_pipeline_en.md
new file mode 100644
index 00000000000000..1c58354e0ac1c3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-question_answering_finetuned_elisa_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English question_answering_finetuned_elisa_pipeline pipeline DistilBertForQuestionAnswering from Elisa
+author: John Snow Labs
+name: question_answering_finetuned_elisa_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`question_answering_finetuned_elisa_pipeline` is a English model originally trained by Elisa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/question_answering_finetuned_elisa_pipeline_en_5.5.0_3.0_1726469348100.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/question_answering_finetuned_elisa_pipeline_en_5.5.0_3.0_1726469348100.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("question_answering_finetuned_elisa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("question_answering_finetuned_elisa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|question_answering_finetuned_elisa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Elisa/question_answering_finetuned
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-replica_classification_pipeline_ru.md b/docs/_posts/ahmedlone127/2024-09-16-replica_classification_pipeline_ru.md
new file mode 100644
index 00000000000000..0d4070e488b7bd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-replica_classification_pipeline_ru.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Russian replica_classification_pipeline pipeline XlmRoBertaForSequenceClassification from TeraSpace
+author: John Snow Labs
+name: replica_classification_pipeline
+date: 2024-09-16
+tags: [ru, open_source, pipeline, onnx]
+task: Text Classification
+language: ru
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`replica_classification_pipeline` is a Russian model originally trained by TeraSpace.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/replica_classification_pipeline_ru_5.5.0_3.0_1726516898459.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/replica_classification_pipeline_ru_5.5.0_3.0_1726516898459.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("replica_classification_pipeline", lang = "ru")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("replica_classification_pipeline", lang = "ru")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|replica_classification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ru|
+|Size:|524.5 MB|
+
+## References
+
+https://huggingface.co/TeraSpace/replica_classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-replica_classification_ru.md b/docs/_posts/ahmedlone127/2024-09-16-replica_classification_ru.md
new file mode 100644
index 00000000000000..0ad5538cd0a3e0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-replica_classification_ru.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Russian replica_classification XlmRoBertaForSequenceClassification from TeraSpace
+author: John Snow Labs
+name: replica_classification
+date: 2024-09-16
+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.`replica_classification` is a Russian model originally trained by TeraSpace.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/replica_classification_ru_5.5.0_3.0_1726516726879.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/replica_classification_ru_5.5.0_3.0_1726516726879.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|results|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|307.0 MB|
+
+## References
+
+References
+
+References
+
+https://huggingface.co/Souvik123/results
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-results_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-results_pipeline_en.md
new file mode 100644
index 00000000000000..b4cb42f94b4a8b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-results_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English results_pipeline pipeline RoBertaForTokenClassification from danielyoo
+author: John Snow Labs
+name: results_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`results_pipeline` is a English model originally trained by danielyoo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/results_pipeline_en_5.5.0_3.0_1726529662518.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/results_pipeline_en_5.5.0_3.0_1726529662518.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("results_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("results_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|results_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|307.0 MB|
+
+## References
+
+https://huggingface.co/danielyoo/results
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_base_bne_finetuned_nepal_bhasa_oriya_used_warranty_gpu_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_base_bne_finetuned_nepal_bhasa_oriya_used_warranty_gpu_en.md
new file mode 100644
index 00000000000000..2ffd90817abf4c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_base_bne_finetuned_nepal_bhasa_oriya_used_warranty_gpu_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_bne_finetuned_nepal_bhasa_oriya_used_warranty_gpu RoBertaForSequenceClassification from gonchisi
+author: John Snow Labs
+name: roberta_base_bne_finetuned_nepal_bhasa_oriya_used_warranty_gpu
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_bne_finetuned_nepal_bhasa_oriya_used_warranty_gpu` is a English model originally trained by gonchisi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_nepal_bhasa_oriya_used_warranty_gpu_en_5.5.0_3.0_1726470680607.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_nepal_bhasa_oriya_used_warranty_gpu_en_5.5.0_3.0_1726470680607.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_nepal_bhasa_oriya_used_warranty_gpu|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|428.6 MB|
+
+## References
+
+https://huggingface.co/gonchisi/roberta-base-bne-finetuned-new_or_used_warranty-gpu
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_base_bne_finetuned_toxicity_tweets_25000_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_base_bne_finetuned_toxicity_tweets_25000_en.md
new file mode 100644
index 00000000000000..dbd6aab03ef4c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_base_bne_finetuned_toxicity_tweets_25000_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_bne_finetuned_toxicity_tweets_25000 RoBertaForSequenceClassification from tonirodriguez
+author: John Snow Labs
+name: roberta_base_bne_finetuned_toxicity_tweets_25000
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_bne_finetuned_toxicity_tweets_25000` is a English model originally trained by tonirodriguez.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_toxicity_tweets_25000_en_5.5.0_3.0_1726504568284.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_toxicity_tweets_25000_en_5.5.0_3.0_1726504568284.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_toxicity_tweets_25000|
+|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/tonirodriguez/roberta-base-bne-finetuned-toxicity-tweets-25000
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_base_bne_finetuned_toxicity_tweets_25000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_base_bne_finetuned_toxicity_tweets_25000_pipeline_en.md
new file mode 100644
index 00000000000000..5d41111c486640
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_base_bne_finetuned_toxicity_tweets_25000_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_bne_finetuned_toxicity_tweets_25000_pipeline pipeline RoBertaForSequenceClassification from tonirodriguez
+author: John Snow Labs
+name: roberta_base_bne_finetuned_toxicity_tweets_25000_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_bne_finetuned_toxicity_tweets_25000_pipeline` is a English model originally trained by tonirodriguez.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_toxicity_tweets_25000_pipeline_en_5.5.0_3.0_1726504592648.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_bne_finetuned_toxicity_tweets_25000_pipeline_en_5.5.0_3.0_1726504592648.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_toxicity_tweets_25000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_bne_finetuned_toxicity_tweets_25000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_bne_finetuned_toxicity_tweets_25000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|439.3 MB|
+
+## References
+
+https://huggingface.co/tonirodriguez/roberta-base-bne-finetuned-toxicity-tweets-25000
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_base_conversation_classification_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_base_conversation_classification_en.md
new file mode 100644
index 00000000000000..dbcbdf659d600d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_base_conversation_classification_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_conversation_classification RoBertaForSequenceClassification from muthuramkumar
+author: John Snow Labs
+name: roberta_base_conversation_classification
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_conversation_classification` is a English model originally trained by muthuramkumar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_conversation_classification_en_5.5.0_3.0_1726518879234.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_conversation_classification_en_5.5.0_3.0_1726518879234.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_conversation_classification|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|420.0 MB|
+
+## References
+
+https://huggingface.co/muthuramkumar/roberta-base-conversation-classification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_base_cookdial_v1_1_kedudzic_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_base_cookdial_v1_1_kedudzic_pipeline_en.md
new file mode 100644
index 00000000000000..3bf5585e94dd57
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_base_cookdial_v1_1_kedudzic_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_cookdial_v1_1_kedudzic_pipeline pipeline RoBertaForSequenceClassification from kedudzic
+author: John Snow Labs
+name: roberta_base_cookdial_v1_1_kedudzic_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_cookdial_v1_1_kedudzic_pipeline` is a English model originally trained by kedudzic.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_cookdial_v1_1_kedudzic_pipeline_en_5.5.0_3.0_1726528070882.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_cookdial_v1_1_kedudzic_pipeline_en_5.5.0_3.0_1726528070882.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_cookdial_v1_1_kedudzic_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_cookdial_v1_1_kedudzic_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_cookdial_v1_1_kedudzic_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|419.1 MB|
+
+## References
+
+https://huggingface.co/kedudzic/roberta-base-cookdial-v1_1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_base_e_snli_classification_nli_explanation_base_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_base_e_snli_classification_nli_explanation_base_en.md
new file mode 100644
index 00000000000000..37840cf34ec92d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_base_e_snli_classification_nli_explanation_base_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_e_snli_classification_nli_explanation_base RoBertaForSequenceClassification from k4black
+author: John Snow Labs
+name: roberta_base_e_snli_classification_nli_explanation_base
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_e_snli_classification_nli_explanation_base` is a English model originally trained by k4black.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_e_snli_classification_nli_explanation_base_en_5.5.0_3.0_1726518527904.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_e_snli_classification_nli_explanation_base_en_5.5.0_3.0_1726518527904.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_e_snli_classification_nli_explanation_base|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|452.9 MB|
+
+## References
+
+https://huggingface.co/k4black/roberta-base-e-snli-classification-nli_explanation-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_base_e_snli_classification_nli_explanation_base_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_base_e_snli_classification_nli_explanation_base_pipeline_en.md
new file mode 100644
index 00000000000000..58fe41f4c2e97d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_base_e_snli_classification_nli_explanation_base_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_e_snli_classification_nli_explanation_base_pipeline pipeline RoBertaForSequenceClassification from k4black
+author: John Snow Labs
+name: roberta_base_e_snli_classification_nli_explanation_base_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_e_snli_classification_nli_explanation_base_pipeline` is a English model originally trained by k4black.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_e_snli_classification_nli_explanation_base_pipeline_en_5.5.0_3.0_1726518555263.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_e_snli_classification_nli_explanation_base_pipeline_en_5.5.0_3.0_1726518555263.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_e_snli_classification_nli_explanation_base_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_e_snli_classification_nli_explanation_base_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_e_snli_classification_nli_explanation_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|452.9 MB|
+
+## References
+
+https://huggingface.co/k4black/roberta-base-e-snli-classification-nli_explanation-base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_base_edos_c_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_base_edos_c_en.md
new file mode 100644
index 00000000000000..3d9463bdd8fffb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_base_edos_c_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_edos_c RoBertaForSequenceClassification from ISEGURA
+author: John Snow Labs
+name: roberta_base_edos_c
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_edos_c` is a English model originally trained by ISEGURA.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_edos_c_en_5.5.0_3.0_1726527559759.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_edos_c_en_5.5.0_3.0_1726527559759.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_edos_c|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|444.0 MB|
+
+## References
+
+https://huggingface.co/ISEGURA/roberta-base_edos_c
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_base_edos_c_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_base_edos_c_pipeline_en.md
new file mode 100644
index 00000000000000..aac91ca144a432
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_base_edos_c_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_edos_c_pipeline pipeline RoBertaForSequenceClassification from ISEGURA
+author: John Snow Labs
+name: roberta_base_edos_c_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_edos_c_pipeline` is a English model originally trained by ISEGURA.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_edos_c_pipeline_en_5.5.0_3.0_1726527584811.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_edos_c_pipeline_en_5.5.0_3.0_1726527584811.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_edos_c_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_edos_c_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_edos_c_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|444.0 MB|
+
+## References
+
+https://huggingface.co/ISEGURA/roberta-base_edos_c
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_base_finetuned_nlp_letters_s1_s2_all_class_weighted_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_base_finetuned_nlp_letters_s1_s2_all_class_weighted_pipeline_en.md
new file mode 100644
index 00000000000000..adb9252fb857f7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_base_finetuned_nlp_letters_s1_s2_all_class_weighted_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_finetuned_nlp_letters_s1_s2_all_class_weighted_pipeline pipeline RoBertaForSequenceClassification from ben-yu
+author: John Snow Labs
+name: roberta_base_finetuned_nlp_letters_s1_s2_all_class_weighted_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_nlp_letters_s1_s2_all_class_weighted_pipeline` is a English model originally trained by ben-yu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_nlp_letters_s1_s2_all_class_weighted_pipeline_en_5.5.0_3.0_1726518630745.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_all_class_weighted_pipeline_en_5.5.0_3.0_1726518630745.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_all_class_weighted_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_finetuned_nlp_letters_s1_s2_all_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_all_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-all-class-weighted
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_base_finetuned_squad_harveyagraphcore_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_base_finetuned_squad_harveyagraphcore_en.md
new file mode 100644
index 00000000000000..15494c0fca81c3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_base_finetuned_squad_harveyagraphcore_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English roberta_base_finetuned_squad_harveyagraphcore RoBertaForQuestionAnswering from harveyagraphcore
+author: John Snow Labs
+name: roberta_base_finetuned_squad_harveyagraphcore
+date: 2024-09-16
+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_squad_harveyagraphcore` is a English model originally trained by harveyagraphcore.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_squad_harveyagraphcore_en_5.5.0_3.0_1726501891140.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_squad_harveyagraphcore_en_5.5.0_3.0_1726501891140.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_squad_harveyagraphcore|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|298.3 MB|
+
+## References
+
+https://huggingface.co/harveyagraphcore/roberta-base-finetuned-squad
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_base_finetuned_squad_harveyagraphcore_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_base_finetuned_squad_harveyagraphcore_pipeline_en.md
new file mode 100644
index 00000000000000..3e122ac61afd64
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_base_finetuned_squad_harveyagraphcore_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_base_finetuned_squad_harveyagraphcore_pipeline pipeline RoBertaForQuestionAnswering from harveyagraphcore
+author: John Snow Labs
+name: roberta_base_finetuned_squad_harveyagraphcore_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_squad_harveyagraphcore_pipeline` is a English model originally trained by harveyagraphcore.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_squad_harveyagraphcore_pipeline_en_5.5.0_3.0_1726501980538.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_squad_harveyagraphcore_pipeline_en_5.5.0_3.0_1726501980538.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_harveyagraphcore_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_finetuned_squad_harveyagraphcore_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_finetuned_squad_harveyagraphcore_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|298.4 MB|
+
+## References
+
+https://huggingface.co/harveyagraphcore/roberta-base-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_base_hoax_classifier_fulltext_v1_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_base_hoax_classifier_fulltext_v1_en.md
new file mode 100644
index 00000000000000..b36bf045f32758
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_base_hoax_classifier_fulltext_v1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_hoax_classifier_fulltext_v1 RoBertaForSequenceClassification from research-dump
+author: John Snow Labs
+name: roberta_base_hoax_classifier_fulltext_v1
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_hoax_classifier_fulltext_v1` is a English model originally trained by research-dump.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_hoax_classifier_fulltext_v1_en_5.5.0_3.0_1726470312770.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_hoax_classifier_fulltext_v1_en_5.5.0_3.0_1726470312770.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_hoax_classifier_fulltext_v1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|435.1 MB|
+
+## References
+
+https://huggingface.co/research-dump/roberta-base_hoax_classifier_fulltext_v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_base_leandroaraujodev_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_base_leandroaraujodev_pipeline_en.md
new file mode 100644
index 00000000000000..8e6f49a88e52c9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_base_leandroaraujodev_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_leandroaraujodev_pipeline pipeline RoBertaForSequenceClassification from leandroaraujodev
+author: John Snow Labs
+name: roberta_base_leandroaraujodev_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_leandroaraujodev_pipeline` is a English model originally trained by leandroaraujodev.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_leandroaraujodev_pipeline_en_5.5.0_3.0_1726527180709.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_leandroaraujodev_pipeline_en_5.5.0_3.0_1726527180709.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_leandroaraujodev_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_leandroaraujodev_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_leandroaraujodev_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|436.3 MB|
+
+## References
+
+https://huggingface.co/leandroaraujodev/roberta-base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_base_squad_model1_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_base_squad_model1_en.md
new file mode 100644
index 00000000000000..8481a07b8067f9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_base_squad_model1_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English roberta_base_squad_model1 RoBertaForQuestionAnswering from varun-v-rao
+author: John Snow Labs
+name: roberta_base_squad_model1
+date: 2024-09-16
+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_squad_model1` is a English model originally trained by varun-v-rao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_squad_model1_en_5.5.0_3.0_1726460703004.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_squad_model1_en_5.5.0_3.0_1726460703004.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_squad_model1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|461.9 MB|
+
+## References
+
+https://huggingface.co/varun-v-rao/roberta-base-squad-model1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_base_tweet_topic_single_2020_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_base_tweet_topic_single_2020_pipeline_en.md
new file mode 100644
index 00000000000000..129432efd6db58
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_base_tweet_topic_single_2020_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_base_tweet_topic_single_2020_pipeline pipeline RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: roberta_base_tweet_topic_single_2020_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_tweet_topic_single_2020_pipeline` is a English model originally trained by cardiffnlp.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_tweet_topic_single_2020_pipeline_en_5.5.0_3.0_1726518173810.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_tweet_topic_single_2020_pipeline_en_5.5.0_3.0_1726518173810.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_base_tweet_topic_single_2020_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_base_tweet_topic_single_2020_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_tweet_topic_single_2020_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|436.4 MB|
+
+## References
+
+https://huggingface.co/cardiffnlp/roberta-base-tweet-topic-single-2020
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_coping_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_coping_en.md
new file mode 100644
index 00000000000000..8bacf45ec20da0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_coping_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_coping RoBertaForSequenceClassification from marco-stranisci
+author: John Snow Labs
+name: roberta_coping
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_coping` is a English model originally trained by marco-stranisci.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_coping_en_5.5.0_3.0_1726527773759.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_coping_en_5.5.0_3.0_1726527773759.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_coping|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|421.7 MB|
+
+## References
+
+https://huggingface.co/marco-stranisci/roberta-coping
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_finetuned_freeform_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_finetuned_freeform_en.md
new file mode 100644
index 00000000000000..5fcb54f30d1f05
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_finetuned_freeform_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_finetuned_freeform RoBertaForSequenceClassification from maretamasaeva
+author: John Snow Labs
+name: roberta_finetuned_freeform
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_finetuned_freeform` is a English model originally trained by maretamasaeva.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_freeform_en_5.5.0_3.0_1726518459684.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_freeform_en_5.5.0_3.0_1726518459684.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_freeform|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|457.5 MB|
+
+## References
+
+https://huggingface.co/maretamasaeva/roberta-finetuned-freeform
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_finetuned_personality_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_finetuned_personality_en.md
new file mode 100644
index 00000000000000..b9bff8f20814a5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_finetuned_personality_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_finetuned_personality RoBertaForSequenceClassification from Nasserelsaman
+author: John Snow Labs
+name: roberta_finetuned_personality
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_finetuned_personality` is a English model originally trained by Nasserelsaman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_personality_en_5.5.0_3.0_1726527127676.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_personality_en_5.5.0_3.0_1726527127676.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_personality|
+|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/Nasserelsaman/roberta-finetuned-personality
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_finetuned_personality_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_finetuned_personality_pipeline_en.md
new file mode 100644
index 00000000000000..c2b09d8e2d9151
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_finetuned_personality_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_finetuned_personality_pipeline pipeline RoBertaForSequenceClassification from Nasserelsaman
+author: John Snow Labs
+name: roberta_finetuned_personality_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_finetuned_personality_pipeline` is a English model originally trained by Nasserelsaman.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_personality_pipeline_en_5.5.0_3.0_1726527221389.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_personality_pipeline_en_5.5.0_3.0_1726527221389.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_finetuned_personality_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_finetuned_personality_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_finetuned_personality_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Nasserelsaman/roberta-finetuned-personality
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_finetuned_subjqa_movies_2_tamnemtf_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_finetuned_subjqa_movies_2_tamnemtf_pipeline_en.md
new file mode 100644
index 00000000000000..41945f18afc5d8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_finetuned_subjqa_movies_2_tamnemtf_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_finetuned_subjqa_movies_2_tamnemtf_pipeline pipeline RoBertaForQuestionAnswering from Tamnemtf
+author: John Snow Labs
+name: roberta_finetuned_subjqa_movies_2_tamnemtf_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_finetuned_subjqa_movies_2_tamnemtf_pipeline` is a English model originally trained by Tamnemtf.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_finetuned_subjqa_movies_2_tamnemtf_pipeline_en_5.5.0_3.0_1726501708751.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_finetuned_subjqa_movies_2_tamnemtf_pipeline_en_5.5.0_3.0_1726501708751.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_tamnemtf_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_finetuned_subjqa_movies_2_tamnemtf_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_finetuned_subjqa_movies_2_tamnemtf_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|464.1 MB|
+
+## References
+
+https://huggingface.co/Tamnemtf/roberta-finetuned-subjqa-movies_2
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_large_deletion_multiclass_complete_final_v2_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_large_deletion_multiclass_complete_final_v2_en.md
new file mode 100644
index 00000000000000..e230445f255d88
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_large_deletion_multiclass_complete_final_v2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_large_deletion_multiclass_complete_final_v2 RoBertaForSequenceClassification from research-dump
+author: John Snow Labs
+name: roberta_large_deletion_multiclass_complete_final_v2
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_deletion_multiclass_complete_final_v2` is a English model originally trained by research-dump.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_deletion_multiclass_complete_final_v2_en_5.5.0_3.0_1726527913920.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_deletion_multiclass_complete_final_v2_en_5.5.0_3.0_1726527913920.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_512_finetuned_squad_seed_4|
+|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-512-finetuned-squad-seed-4
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_large_finetuned_abbr_weightdecay0_0001_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_large_finetuned_abbr_weightdecay0_0001_pipeline_en.md
new file mode 100644
index 00000000000000..3855a09370450a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_large_finetuned_abbr_weightdecay0_0001_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_large_finetuned_abbr_weightdecay0_0001_pipeline pipeline RoBertaForTokenClassification from karsimkh
+author: John Snow Labs
+name: roberta_large_finetuned_abbr_weightdecay0_0001_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_finetuned_abbr_weightdecay0_0001_pipeline` is a English model originally trained by karsimkh.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_abbr_weightdecay0_0001_pipeline_en_5.5.0_3.0_1726452869290.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_abbr_weightdecay0_0001_pipeline_en_5.5.0_3.0_1726452869290.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_finetuned_abbr_weightdecay0_0001_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_finetuned_abbr_weightdecay0_0001_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_finetuned_abbr_weightdecay0_0001_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/karsimkh/roberta-large-finetuned-abbr-WeightDecay0.0001
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_large_finetuned_cola_cvapict_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_large_finetuned_cola_cvapict_en.md
new file mode 100644
index 00000000000000..bd5084686a65e7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_large_finetuned_cola_cvapict_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_large_finetuned_cola_cvapict RoBertaForSequenceClassification from cvapict
+author: John Snow Labs
+name: roberta_large_finetuned_cola_cvapict
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_finetuned_cola_cvapict` is a English model originally trained by cvapict.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_cola_cvapict_en_5.5.0_3.0_1726471046077.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_finetuned_cola_cvapict_en_5.5.0_3.0_1726471046077.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_finetuned_cola_cvapict|
+|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/cvapict/roberta-large-finetuned-cola
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_large_go_emotions_v3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_large_go_emotions_v3_pipeline_en.md
new file mode 100644
index 00000000000000..d59e2090faa7c5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_large_go_emotions_v3_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_large_go_emotions_v3_pipeline pipeline RoBertaForSequenceClassification from Prasadrao
+author: John Snow Labs
+name: roberta_large_go_emotions_v3_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_go_emotions_v3_pipeline` is a English model originally trained by Prasadrao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_go_emotions_v3_pipeline_en_5.5.0_3.0_1726505126878.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_go_emotions_v3_pipeline_en_5.5.0_3.0_1726505126878.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_v3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_go_emotions_v3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_go_emotions_v3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.3 MB|
+
+## References
+
+https://huggingface.co/Prasadrao/roberta-large-go-emotions_v3
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_large_lora_1_57m_squad_model3_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_large_lora_1_57m_squad_model3_pipeline_en.md
new file mode 100644
index 00000000000000..85822aba2d3297
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_large_lora_1_57m_squad_model3_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English roberta_large_lora_1_57m_squad_model3_pipeline pipeline RoBertaForQuestionAnswering from varun-v-rao
+author: John Snow Labs
+name: roberta_large_lora_1_57m_squad_model3_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_lora_1_57m_squad_model3_pipeline` is a English model originally trained by varun-v-rao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_lora_1_57m_squad_model3_pipeline_en_5.5.0_3.0_1726502416508.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_lora_1_57m_squad_model3_pipeline_en_5.5.0_3.0_1726502416508.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_lora_1_57m_squad_model3_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_lora_1_57m_squad_model3_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_lora_1_57m_squad_model3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|911.1 MB|
+
+## References
+
+https://huggingface.co/varun-v-rao/roberta-large-lora-1.57M-squad-model3
+
+## Included Models
+
+- MultiDocumentAssembler
+- RoBertaForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_large_mnli_fld_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_large_mnli_fld_pipeline_en.md
new file mode 100644
index 00000000000000..8c57f2db2a6aa3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_large_mnli_fld_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_large_mnli_fld_pipeline pipeline RoBertaForSequenceClassification from cestwc
+author: John Snow Labs
+name: roberta_large_mnli_fld_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_mnli_fld_pipeline` is a English model originally trained by cestwc.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_mnli_fld_pipeline_en_5.5.0_3.0_1726470683362.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_mnli_fld_pipeline_en_5.5.0_3.0_1726470683362.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_mnli_fld_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_mnli_fld_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_mnli_fld_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/cestwc/roberta-large-mnli-fld
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_large_mnli_ricechem_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_large_mnli_ricechem_en.md
new file mode 100644
index 00000000000000..9acd2d76b9e07e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_large_mnli_ricechem_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_large_mnli_ricechem RoBertaForSequenceClassification from kangqi-ni
+author: John Snow Labs
+name: roberta_large_mnli_ricechem
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_mnli_ricechem` is a English model originally trained by kangqi-ni.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_mnli_ricechem_en_5.5.0_3.0_1726505178666.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_mnli_ricechem_en_5.5.0_3.0_1726505178666.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_mnli_ricechem|
+|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/kangqi-ni/roberta-large-mnli-ricechem
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_large_mnli_ricechem_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_large_mnli_ricechem_pipeline_en.md
new file mode 100644
index 00000000000000..772482c40ee6a7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_large_mnli_ricechem_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_large_mnli_ricechem_pipeline pipeline RoBertaForSequenceClassification from kangqi-ni
+author: John Snow Labs
+name: roberta_large_mnli_ricechem_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_mnli_ricechem_pipeline` is a English model originally trained by kangqi-ni.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_mnli_ricechem_pipeline_en_5.5.0_3.0_1726505259999.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_mnli_ricechem_pipeline_en_5.5.0_3.0_1726505259999.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_mnli_ricechem_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_mnli_ricechem_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_mnli_ricechem_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/kangqi-ni/roberta-large-mnli-ricechem
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_large_oscar_chen_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_large_oscar_chen_en.md
new file mode 100644
index 00000000000000..ef2b64d90254e4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_large_oscar_chen_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_large_oscar_chen RoBertaForSequenceClassification from Oscar-chen
+author: John Snow Labs
+name: roberta_large_oscar_chen
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_oscar_chen` is a English model originally trained by Oscar-chen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_oscar_chen_en_5.5.0_3.0_1726519270659.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_oscar_chen_en_5.5.0_3.0_1726519270659.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_oscar_chen|
+|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/Oscar-chen/roberta-large
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_large_oscar_chen_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_large_oscar_chen_pipeline_en.md
new file mode 100644
index 00000000000000..2344dd6ec87ec1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_large_oscar_chen_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_large_oscar_chen_pipeline pipeline RoBertaForSequenceClassification from Oscar-chen
+author: John Snow Labs
+name: roberta_large_oscar_chen_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_oscar_chen_pipeline` is a English model originally trained by Oscar-chen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_oscar_chen_pipeline_en_5.5.0_3.0_1726519343257.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_oscar_chen_pipeline_en_5.5.0_3.0_1726519343257.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_oscar_chen_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_oscar_chen_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_oscar_chen_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/Oscar-chen/roberta-large
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_large_squad2_fine_tuned_9e_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_large_squad2_fine_tuned_9e_en.md
new file mode 100644
index 00000000000000..d178e944580e81
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_large_squad2_fine_tuned_9e_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English roberta_large_squad2_fine_tuned_9e RoBertaForQuestionAnswering from marwanimroz18
+author: John Snow Labs
+name: roberta_large_squad2_fine_tuned_9e
+date: 2024-09-16
+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_squad2_fine_tuned_9e` is a English model originally trained by marwanimroz18.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_squad2_fine_tuned_9e_en_5.5.0_3.0_1726502000501.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_squad2_fine_tuned_9e_en_5.5.0_3.0_1726502000501.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_squad2_fine_tuned_9e|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/marwanimroz18/roberta-large-squad2-fine-tuned-9e
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_large_sst_2_32_13_30_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_large_sst_2_32_13_30_pipeline_en.md
new file mode 100644
index 00000000000000..e25d87d712326d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_large_sst_2_32_13_30_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_large_sst_2_32_13_30_pipeline pipeline RoBertaForSequenceClassification from simonycl
+author: John Snow Labs
+name: roberta_large_sst_2_32_13_30_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_sst_2_32_13_30_pipeline` is a English model originally trained by simonycl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_sst_2_32_13_30_pipeline_en_5.5.0_3.0_1726527640208.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_sst_2_32_13_30_pipeline_en_5.5.0_3.0_1726527640208.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_sst_2_32_13_30_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_sst_2_32_13_30_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_sst_2_32_13_30_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/simonycl/roberta-large-sst-2-32-13-30
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_llm_classfier_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_llm_classfier_en.md
new file mode 100644
index 00000000000000..cfdca9e2da1c3d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_llm_classfier_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_llm_classfier RoBertaForSequenceClassification from bayesmaxxer
+author: John Snow Labs
+name: roberta_llm_classfier
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_llm_classfier` is a English model originally trained by bayesmaxxer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_llm_classfier_en_5.5.0_3.0_1726518228862.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_llm_classfier_en_5.5.0_3.0_1726518228862.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_llm_classfier|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|444.8 MB|
+
+## References
+
+https://huggingface.co/bayesmaxxer/roberta-llm-classfier
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_llm_classfier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_llm_classfier_pipeline_en.md
new file mode 100644
index 00000000000000..bb2ac3073a8692
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_llm_classfier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_llm_classfier_pipeline pipeline RoBertaForSequenceClassification from bayesmaxxer
+author: John Snow Labs
+name: roberta_llm_classfier_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_llm_classfier_pipeline` is a English model originally trained by bayesmaxxer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_llm_classfier_pipeline_en_5.5.0_3.0_1726518252416.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_llm_classfier_pipeline_en_5.5.0_3.0_1726518252416.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_llm_classfier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_llm_classfier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_llm_classfier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|444.8 MB|
+
+## References
+
+https://huggingface.co/bayesmaxxer/roberta-llm-classfier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_mixin_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_mixin_en.md
new file mode 100644
index 00000000000000..199567fd91304d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_mixin_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_mixin RoBertaForSequenceClassification from OlegOrwell
+author: John Snow Labs
+name: roberta_mixin
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_mixin` is a English model originally trained by OlegOrwell.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_mixin_en_5.5.0_3.0_1726518393807.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_mixin_en_5.5.0_3.0_1726518393807.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_mixin|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|415.5 MB|
+
+## References
+
+https://huggingface.co/OlegOrwell/roberta_mixin
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_mixin_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_mixin_pipeline_en.md
new file mode 100644
index 00000000000000..3efd65631f376d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_mixin_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_mixin_pipeline pipeline RoBertaForSequenceClassification from OlegOrwell
+author: John Snow Labs
+name: roberta_mixin_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_mixin_pipeline` is a English model originally trained by OlegOrwell.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_mixin_pipeline_en_5.5.0_3.0_1726518437960.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_mixin_pipeline_en_5.5.0_3.0_1726518437960.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_mixin_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_mixin_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_mixin_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|415.6 MB|
+
+## References
+
+https://huggingface.co/OlegOrwell/roberta_mixin
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_tweet_eval_finetuned_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_tweet_eval_finetuned_en.md
new file mode 100644
index 00000000000000..b1876905c561c0
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_tweet_eval_finetuned_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_tweet_eval_finetuned RoBertaForSequenceClassification from cruiser
+author: John Snow Labs
+name: roberta_tweet_eval_finetuned
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_tweet_eval_finetuned` is a English model originally trained by cruiser.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_tweet_eval_finetuned_en_5.5.0_3.0_1726527298512.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_tweet_eval_finetuned_en_5.5.0_3.0_1726527298512.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_tweet_eval_finetuned|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|451.1 MB|
+
+## References
+
+https://huggingface.co/cruiser/roberta_tweet_eval_finetuned
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_untrained_3eps_seed590_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_untrained_3eps_seed590_en.md
new file mode 100644
index 00000000000000..92fbfb6a79e67e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_untrained_3eps_seed590_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_untrained_3eps_seed590 RoBertaForSequenceClassification from custeau
+author: John Snow Labs
+name: roberta_untrained_3eps_seed590
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_untrained_3eps_seed590` is a English model originally trained by custeau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_untrained_3eps_seed590_en_5.5.0_3.0_1726504471908.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_untrained_3eps_seed590_en_5.5.0_3.0_1726504471908.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_untrained_3eps_seed590|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|447.9 MB|
+
+## References
+
+https://huggingface.co/custeau/roberta_untrained_3eps_seed590
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-roberta_untrained_3eps_seed590_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-roberta_untrained_3eps_seed590_pipeline_en.md
new file mode 100644
index 00000000000000..9d2b996ec38762
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-roberta_untrained_3eps_seed590_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_untrained_3eps_seed590_pipeline pipeline RoBertaForSequenceClassification from custeau
+author: John Snow Labs
+name: roberta_untrained_3eps_seed590_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_untrained_3eps_seed590_pipeline` is a English model originally trained by custeau.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_untrained_3eps_seed590_pipeline_en_5.5.0_3.0_1726504500157.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_untrained_3eps_seed590_pipeline_en_5.5.0_3.0_1726504500157.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_untrained_3eps_seed590_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_untrained_3eps_seed590_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_untrained_3eps_seed590_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|447.9 MB|
+
+## References
+
+https://huggingface.co/custeau/roberta_untrained_3eps_seed590
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-rubert_base_cased_finetuned_squad_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-rubert_base_cased_finetuned_squad_pipeline_en.md
new file mode 100644
index 00000000000000..56bfbf989c5443
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-rubert_base_cased_finetuned_squad_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English rubert_base_cased_finetuned_squad_pipeline pipeline BertForQuestionAnswering from KirrAno93
+author: John Snow Labs
+name: rubert_base_cased_finetuned_squad_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rubert_base_cased_finetuned_squad_pipeline` is a English model originally trained by KirrAno93.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rubert_base_cased_finetuned_squad_pipeline_en_5.5.0_3.0_1726490041094.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rubert_base_cased_finetuned_squad_pipeline_en_5.5.0_3.0_1726490041094.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("rubert_base_cased_finetuned_squad_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("rubert_base_cased_finetuned_squad_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|rubert_base_cased_finetuned_squad_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|664.3 MB|
+
+## References
+
+https://huggingface.co/KirrAno93/rubert-base-cased-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-rubert_tiny2_russian_emotion_detection_ru.md b/docs/_posts/ahmedlone127/2024-09-16-rubert_tiny2_russian_emotion_detection_ru.md
new file mode 100644
index 00000000000000..e79da15728efb1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-rubert_tiny2_russian_emotion_detection_ru.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Russian rubert_tiny2_russian_emotion_detection BertForSequenceClassification from Djacon
+author: John Snow Labs
+name: rubert_tiny2_russian_emotion_detection
+date: 2024-09-16
+tags: [ru, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: ru
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`rubert_tiny2_russian_emotion_detection` is a Russian model originally trained by Djacon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/rubert_tiny2_russian_emotion_detection_ru_5.5.0_3.0_1726459113177.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/rubert_tiny2_russian_emotion_detection_ru_5.5.0_3.0_1726459113177.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|salamathanksfil2env3|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|496.5 MB|
+
+## References
+
+https://huggingface.co/jimacasaet/SalamaThanksFIL2ENv3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-salamathankstransformer_en2fil_v1_en.md b/docs/_posts/ahmedlone127/2024-09-16-salamathankstransformer_en2fil_v1_en.md
new file mode 100644
index 00000000000000..a7f52bfc19b6f2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-salamathankstransformer_en2fil_v1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English salamathankstransformer_en2fil_v1 MarianTransformer from SalamaThanks
+author: John Snow Labs
+name: salamathankstransformer_en2fil_v1
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`salamathankstransformer_en2fil_v1` is a English model originally trained by SalamaThanks.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/salamathankstransformer_en2fil_v1_en_5.5.0_3.0_1726509742248.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/salamathankstransformer_en2fil_v1_en_5.5.0_3.0_1726509742248.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|salamathankstransformer_en2fil_v1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|496.7 MB|
+
+## References
+
+https://huggingface.co/SalamaThanks/SalamaThanksTransformer_en2fil_v1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-salamathankstransformer_en2fil_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-salamathankstransformer_en2fil_v1_pipeline_en.md
new file mode 100644
index 00000000000000..fa105df71b50d4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-salamathankstransformer_en2fil_v1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English salamathankstransformer_en2fil_v1_pipeline pipeline MarianTransformer from SalamaThanks
+author: John Snow Labs
+name: salamathankstransformer_en2fil_v1_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`salamathankstransformer_en2fil_v1_pipeline` is a English model originally trained by SalamaThanks.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/salamathankstransformer_en2fil_v1_pipeline_en_5.5.0_3.0_1726509768059.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/salamathankstransformer_en2fil_v1_pipeline_en_5.5.0_3.0_1726509768059.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("salamathankstransformer_en2fil_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("salamathankstransformer_en2fil_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|salamathankstransformer_en2fil_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|497.3 MB|
+
+## References
+
+https://huggingface.co/SalamaThanks/SalamaThanksTransformer_en2fil_v1
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-sanskrit_saskta_tweet_roberta_large_e12_w1_1_5_en.md b/docs/_posts/ahmedlone127/2024-09-16-sanskrit_saskta_tweet_roberta_large_e12_w1_1_5_en.md
new file mode 100644
index 00000000000000..ffae869ee93f14
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-sanskrit_saskta_tweet_roberta_large_e12_w1_1_5_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sanskrit_saskta_tweet_roberta_large_e12_w1_1_5 RoBertaForSequenceClassification from JerryYanJiang
+author: John Snow Labs
+name: sanskrit_saskta_tweet_roberta_large_e12_w1_1_5
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sanskrit_saskta_tweet_roberta_large_e12_w1_1_5` is a English model originally trained by JerryYanJiang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sanskrit_saskta_tweet_roberta_large_e12_w1_1_5_en_5.5.0_3.0_1726519117400.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sanskrit_saskta_tweet_roberta_large_e12_w1_1_5_en_5.5.0_3.0_1726519117400.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_tweet_roberta_large_e12_w1_1_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/JerryYanJiang/SA-tweet-roberta-large-e12-w1-1.5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-sanskrit_saskta_tweet_roberta_large_e12_w1_1_5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-sanskrit_saskta_tweet_roberta_large_e12_w1_1_5_pipeline_en.md
new file mode 100644
index 00000000000000..26bbc06a4261ac
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-sanskrit_saskta_tweet_roberta_large_e12_w1_1_5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English sanskrit_saskta_tweet_roberta_large_e12_w1_1_5_pipeline pipeline RoBertaForSequenceClassification from JerryYanJiang
+author: John Snow Labs
+name: sanskrit_saskta_tweet_roberta_large_e12_w1_1_5_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sanskrit_saskta_tweet_roberta_large_e12_w1_1_5_pipeline` is a English model originally trained by JerryYanJiang.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sanskrit_saskta_tweet_roberta_large_e12_w1_1_5_pipeline_en_5.5.0_3.0_1726519182150.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sanskrit_saskta_tweet_roberta_large_e12_w1_1_5_pipeline_en_5.5.0_3.0_1726519182150.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sanskrit_saskta_tweet_roberta_large_e12_w1_1_5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sanskrit_saskta_tweet_roberta_large_e12_w1_1_5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sanskrit_saskta_tweet_roberta_large_e12_w1_1_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/JerryYanJiang/SA-tweet-roberta-large-e12-w1-1.5
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-sent_bangla_bert_bn.md b/docs/_posts/ahmedlone127/2024-09-16-sent_bangla_bert_bn.md
new file mode 100644
index 00000000000000..b73f7d84d375f2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-sent_bangla_bert_bn.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Bengali sent_bangla_bert BertSentenceEmbeddings from Kowsher
+author: John Snow Labs
+name: sent_bangla_bert
+date: 2024-09-16
+tags: [bn, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: bn
+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_bangla_bert` is a Bengali model originally trained by Kowsher.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bangla_bert_bn_5.5.0_3.0_1726500624073.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bangla_bert_bn_5.5.0_3.0_1726500624073.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_korean_small|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|ko|
+|Size:|85.6 MB|
+
+## References
+
+https://huggingface.co/lassl/bert-ko-small
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-sent_bert_korean_small_pipeline_ko.md b/docs/_posts/ahmedlone127/2024-09-16-sent_bert_korean_small_pipeline_ko.md
new file mode 100644
index 00000000000000..2a8517ea04259a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-sent_bert_korean_small_pipeline_ko.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: Korean sent_bert_korean_small_pipeline pipeline BertSentenceEmbeddings from lassl
+author: John Snow Labs
+name: sent_bert_korean_small_pipeline
+date: 2024-09-16
+tags: [ko, open_source, pipeline, onnx]
+task: Embeddings
+language: ko
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_korean_small_pipeline` is a Korean model originally trained by lassl.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_korean_small_pipeline_ko_5.5.0_3.0_1726522120748.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_korean_small_pipeline_ko_5.5.0_3.0_1726522120748.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bert_korean_small_pipeline", lang = "ko")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bert_korean_small_pipeline", lang = "ko")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bert_korean_small_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ko|
+|Size:|86.2 MB|
+
+## References
+
+https://huggingface.co/lassl/bert-ko-small
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-sent_bert_next_word_prediction_en.md b/docs/_posts/ahmedlone127/2024-09-16-sent_bert_next_word_prediction_en.md
new file mode 100644
index 00000000000000..5d992f34ec6357
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-sent_bert_next_word_prediction_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_bert_next_word_prediction BertSentenceEmbeddings from MattNandavong
+author: John Snow Labs
+name: sent_bert_next_word_prediction
+date: 2024-09-16
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bert_next_word_prediction` is a English model originally trained by MattNandavong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bert_next_word_prediction_en_5.5.0_3.0_1726528704984.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bert_next_word_prediction_en_5.5.0_3.0_1726528704984.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_next_word_prediction|
+|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/MattNandavong/bert-next-word-prediction
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-sent_bowdpr_marco_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-sent_bowdpr_marco_pipeline_en.md
new file mode 100644
index 00000000000000..4614074c3afda2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-sent_bowdpr_marco_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_bowdpr_marco_pipeline pipeline BertSentenceEmbeddings from bowdpr
+author: John Snow Labs
+name: sent_bowdpr_marco_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_bowdpr_marco_pipeline` is a English model originally trained by bowdpr.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_bowdpr_marco_pipeline_en_5.5.0_3.0_1726500506416.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_bowdpr_marco_pipeline_en_5.5.0_3.0_1726500506416.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_bowdpr_marco_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_bowdpr_marco_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_bowdpr_marco_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|408.7 MB|
+
+## References
+
+https://huggingface.co/bowdpr/bowdpr_marco
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-sent_morrbert_en.md b/docs/_posts/ahmedlone127/2024-09-16-sent_morrbert_en.md
new file mode 100644
index 00000000000000..3910782e26e48c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-sent_morrbert_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sent_morrbert BertSentenceEmbeddings from otmangi
+author: John Snow Labs
+name: sent_morrbert
+date: 2024-09-16
+tags: [en, open_source, onnx, sentence_embeddings, bert]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertSentenceEmbeddings
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_morrbert` is a English model originally trained by otmangi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_morrbert_en_5.5.0_3.0_1726522730105.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_morrbert_en_5.5.0_3.0_1726522730105.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_morrbert|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentence]|
+|Output Labels:|[embeddings]|
+|Language:|en|
+|Size:|469.9 MB|
+
+## References
+
+https://huggingface.co/otmangi/MorrBERT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-sent_roberta_base_culinary_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-sent_roberta_base_culinary_pipeline_en.md
new file mode 100644
index 00000000000000..a037cae743b34d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-sent_roberta_base_culinary_pipeline_en.md
@@ -0,0 +1,71 @@
+---
+layout: model
+title: English sent_roberta_base_culinary_pipeline pipeline BertSentenceEmbeddings from juancavallotti
+author: John Snow Labs
+name: sent_roberta_base_culinary_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Embeddings
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertSentenceEmbeddings, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sent_roberta_base_culinary_pipeline` is a English model originally trained by juancavallotti.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sent_roberta_base_culinary_pipeline_en_5.5.0_3.0_1726528857450.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sent_roberta_base_culinary_pipeline_en_5.5.0_3.0_1726528857450.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("sent_roberta_base_culinary_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("sent_roberta_base_culinary_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|sent_roberta_base_culinary_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|406.1 MB|
+
+## References
+
+https://huggingface.co/juancavallotti/roberta-base-culinary
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- SentenceDetectorDLModel
+- BertSentenceEmbeddings
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-sentiment_analysis_on_covid_tweets_en.md b/docs/_posts/ahmedlone127/2024-09-16-sentiment_analysis_on_covid_tweets_en.md
new file mode 100644
index 00000000000000..fac81a15f35344
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-sentiment_analysis_on_covid_tweets_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English sentiment_analysis_on_covid_tweets RoBertaForSequenceClassification from AmpomahChief
+author: John Snow Labs
+name: sentiment_analysis_on_covid_tweets
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`sentiment_analysis_on_covid_tweets` is a English model originally trained by AmpomahChief.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/sentiment_analysis_on_covid_tweets_en_5.5.0_3.0_1726456066088.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/sentiment_analysis_on_covid_tweets_en_5.5.0_3.0_1726456066088.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_on_covid_tweets|
+|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/AmpomahChief/sentiment_analysis_on_covid_tweets
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-service_categorizer_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-service_categorizer_v2_pipeline_en.md
new file mode 100644
index 00000000000000..79bd91f70ec7a2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-service_categorizer_v2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English service_categorizer_v2_pipeline pipeline BertForSequenceClassification from etadevosyan
+author: John Snow Labs
+name: service_categorizer_v2_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`service_categorizer_v2_pipeline` is a English model originally trained by etadevosyan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/service_categorizer_v2_pipeline_en_5.5.0_3.0_1726459264646.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/service_categorizer_v2_pipeline_en_5.5.0_3.0_1726459264646.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("service_categorizer_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("service_categorizer_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|service_categorizer_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|666.6 MB|
+
+## References
+
+https://huggingface.co/etadevosyan/service_categorizer_v2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-spanish_english_copied_en.md b/docs/_posts/ahmedlone127/2024-09-16-spanish_english_copied_en.md
new file mode 100644
index 00000000000000..70ba250b4ba7ef
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-spanish_english_copied_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English spanish_english_copied MarianTransformer from americasnlp-lct-ehu
+author: John Snow Labs
+name: spanish_english_copied
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`spanish_english_copied` is a English model originally trained by americasnlp-lct-ehu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/spanish_english_copied_en_5.5.0_3.0_1726503029661.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/spanish_english_copied_en_5.5.0_3.0_1726503029661.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|spanish_english_copied|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|539.2 MB|
+
+## References
+
+https://huggingface.co/americasnlp-lct-ehu/es_en_copied
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-spanish_english_copied_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-spanish_english_copied_pipeline_en.md
new file mode 100644
index 00000000000000..f02b1568bf3ca7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-spanish_english_copied_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English spanish_english_copied_pipeline pipeline MarianTransformer from americasnlp-lct-ehu
+author: John Snow Labs
+name: spanish_english_copied_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`spanish_english_copied_pipeline` is a English model originally trained by americasnlp-lct-ehu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/spanish_english_copied_pipeline_en_5.5.0_3.0_1726503060244.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/spanish_english_copied_pipeline_en_5.5.0_3.0_1726503060244.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("spanish_english_copied_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("spanish_english_copied_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|spanish_english_copied_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|539.7 MB|
+
+## References
+
+https://huggingface.co/americasnlp-lct-ehu/es_en_copied
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-spanish_portuguese_en.md b/docs/_posts/ahmedlone127/2024-09-16-spanish_portuguese_en.md
new file mode 100644
index 00000000000000..87fd325a3cfeb9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-spanish_portuguese_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English spanish_portuguese MarianTransformer from Ife
+author: John Snow Labs
+name: spanish_portuguese
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`spanish_portuguese` is a English model originally trained by Ife.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/spanish_portuguese_en_5.5.0_3.0_1726490809464.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/spanish_portuguese_en_5.5.0_3.0_1726490809464.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|spanish_portuguese|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|465.0 MB|
+
+## References
+
+https://huggingface.co/Ife/ES-PT
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-squad_a_only_train5_en.md b/docs/_posts/ahmedlone127/2024-09-16-squad_a_only_train5_en.md
new file mode 100644
index 00000000000000..f007906d126814
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-squad_a_only_train5_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English squad_a_only_train5 RoBertaForSequenceClassification from grakshit
+author: John Snow Labs
+name: squad_a_only_train5
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`squad_a_only_train5` is a English model originally trained by grakshit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/squad_a_only_train5_en_5.5.0_3.0_1726504804475.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/squad_a_only_train5_en_5.5.0_3.0_1726504804475.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|squad_a_only_train5|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|446.4 MB|
+
+## References
+
+https://huggingface.co/grakshit/squad_a_only_train5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-squad_a_only_train5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-squad_a_only_train5_pipeline_en.md
new file mode 100644
index 00000000000000..ee90c9a1c9b0c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-squad_a_only_train5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English squad_a_only_train5_pipeline pipeline RoBertaForSequenceClassification from grakshit
+author: John Snow Labs
+name: squad_a_only_train5_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`squad_a_only_train5_pipeline` is a English model originally trained by grakshit.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/squad_a_only_train5_pipeline_en_5.5.0_3.0_1726504831378.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/squad_a_only_train5_pipeline_en_5.5.0_3.0_1726504831378.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("squad_a_only_train5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("squad_a_only_train5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|squad_a_only_train5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|446.5 MB|
+
+## References
+
+https://huggingface.co/grakshit/squad_a_only_train5
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-test_trainer_allevelly_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-test_trainer_allevelly_pipeline_en.md
new file mode 100644
index 00000000000000..035ebe33d097c4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-test_trainer_allevelly_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English test_trainer_allevelly_pipeline pipeline RoBertaForSequenceClassification from allevelly
+author: John Snow Labs
+name: test_trainer_allevelly_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`test_trainer_allevelly_pipeline` is a English model originally trained by allevelly.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/test_trainer_allevelly_pipeline_en_5.5.0_3.0_1726504481392.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/test_trainer_allevelly_pipeline_en_5.5.0_3.0_1726504481392.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("test_trainer_allevelly_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("test_trainer_allevelly_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|test_trainer_allevelly_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|468.2 MB|
+
+## References
+
+https://huggingface.co/allevelly/test_trainer
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-text_subject_classification_distilbert_base_uncased_single_label_pdf_zg_en.md b/docs/_posts/ahmedlone127/2024-09-16-text_subject_classification_distilbert_base_uncased_single_label_pdf_zg_en.md
new file mode 100644
index 00000000000000..58603b6cc31fd4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-text_subject_classification_distilbert_base_uncased_single_label_pdf_zg_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English text_subject_classification_distilbert_base_uncased_single_label_pdf_zg DistilBertForSequenceClassification from acuvity
+author: John Snow Labs
+name: text_subject_classification_distilbert_base_uncased_single_label_pdf_zg
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`text_subject_classification_distilbert_base_uncased_single_label_pdf_zg` is a English model originally trained by acuvity.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/text_subject_classification_distilbert_base_uncased_single_label_pdf_zg_en_5.5.0_3.0_1726506403558.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/text_subject_classification_distilbert_base_uncased_single_label_pdf_zg_en_5.5.0_3.0_1726506403558.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|text_subject_classification_distilbert_base_uncased_single_label_pdf_zg|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/acuvity/text-subject_classification-distilbert-base-uncased-single_label-pdf-zg
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-text_subject_classification_distilbert_base_uncased_single_label_pdf_zg_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-text_subject_classification_distilbert_base_uncased_single_label_pdf_zg_pipeline_en.md
new file mode 100644
index 00000000000000..e58a8b2b53315b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-text_subject_classification_distilbert_base_uncased_single_label_pdf_zg_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English text_subject_classification_distilbert_base_uncased_single_label_pdf_zg_pipeline pipeline DistilBertForSequenceClassification from acuvity
+author: John Snow Labs
+name: text_subject_classification_distilbert_base_uncased_single_label_pdf_zg_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`text_subject_classification_distilbert_base_uncased_single_label_pdf_zg_pipeline` is a English model originally trained by acuvity.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/text_subject_classification_distilbert_base_uncased_single_label_pdf_zg_pipeline_en_5.5.0_3.0_1726506416578.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/text_subject_classification_distilbert_base_uncased_single_label_pdf_zg_pipeline_en_5.5.0_3.0_1726506416578.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("text_subject_classification_distilbert_base_uncased_single_label_pdf_zg_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("text_subject_classification_distilbert_base_uncased_single_label_pdf_zg_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|text_subject_classification_distilbert_base_uncased_single_label_pdf_zg_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/acuvity/text-subject_classification-distilbert-base-uncased-single_label-pdf-zg
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-tinybert_tajik_hs_hx_parentpretrained_en.md b/docs/_posts/ahmedlone127/2024-09-16-tinybert_tajik_hs_hx_parentpretrained_en.md
new file mode 100644
index 00000000000000..6e1a7def55f838
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-tinybert_tajik_hs_hx_parentpretrained_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English tinybert_tajik_hs_hx_parentpretrained BertForSequenceClassification from joseph10
+author: John Snow Labs
+name: tinybert_tajik_hs_hx_parentpretrained
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tinybert_tajik_hs_hx_parentpretrained` is a English model originally trained by joseph10.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tinybert_tajik_hs_hx_parentpretrained_en_5.5.0_3.0_1726498591053.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tinybert_tajik_hs_hx_parentpretrained_en_5.5.0_3.0_1726498591053.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tinybert_tajik_hs_hx_parentpretrained|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|42.1 MB|
+
+## References
+
+https://huggingface.co/joseph10/tinybert-TG-HS-HX-parentpretrained
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-tinybert_tajik_hs_hx_parentpretrained_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-tinybert_tajik_hs_hx_parentpretrained_pipeline_en.md
new file mode 100644
index 00000000000000..4c0ad1659ed5bc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-tinybert_tajik_hs_hx_parentpretrained_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English tinybert_tajik_hs_hx_parentpretrained_pipeline pipeline BertForSequenceClassification from joseph10
+author: John Snow Labs
+name: tinybert_tajik_hs_hx_parentpretrained_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tinybert_tajik_hs_hx_parentpretrained_pipeline` is a English model originally trained by joseph10.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tinybert_tajik_hs_hx_parentpretrained_pipeline_en_5.5.0_3.0_1726498593558.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tinybert_tajik_hs_hx_parentpretrained_pipeline_en_5.5.0_3.0_1726498593558.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tinybert_tajik_hs_hx_parentpretrained_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tinybert_tajik_hs_hx_parentpretrained_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tinybert_tajik_hs_hx_parentpretrained_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|42.1 MB|
+
+## References
+
+https://huggingface.co/joseph10/tinybert-TG-HS-HX-parentpretrained
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-tner_xlm_roberta_base_uncased_all_english_finetuned_rte_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-tner_xlm_roberta_base_uncased_all_english_finetuned_rte_pipeline_en.md
new file mode 100644
index 00000000000000..09638ab92edf7c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-tner_xlm_roberta_base_uncased_all_english_finetuned_rte_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English tner_xlm_roberta_base_uncased_all_english_finetuned_rte_pipeline pipeline XlmRoBertaForSequenceClassification from anamelchor
+author: John Snow Labs
+name: tner_xlm_roberta_base_uncased_all_english_finetuned_rte_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tner_xlm_roberta_base_uncased_all_english_finetuned_rte_pipeline` is a English model originally trained by anamelchor.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tner_xlm_roberta_base_uncased_all_english_finetuned_rte_pipeline_en_5.5.0_3.0_1726516718656.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tner_xlm_roberta_base_uncased_all_english_finetuned_rte_pipeline_en_5.5.0_3.0_1726516718656.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tner_xlm_roberta_base_uncased_all_english_finetuned_rte_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tner_xlm_roberta_base_uncased_all_english_finetuned_rte_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tner_xlm_roberta_base_uncased_all_english_finetuned_rte_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|828.2 MB|
+
+## References
+
+https://huggingface.co/anamelchor/tner-xlm-roberta-base-uncased-all-english-finetuned-rte
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-tofu_forget10_classifier_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-tofu_forget10_classifier_pipeline_en.md
new file mode 100644
index 00000000000000..1c70881aab5613
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-tofu_forget10_classifier_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English tofu_forget10_classifier_pipeline pipeline RoBertaForSequenceClassification from chrisliu298
+author: John Snow Labs
+name: tofu_forget10_classifier_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tofu_forget10_classifier_pipeline` is a English model originally trained by chrisliu298.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tofu_forget10_classifier_pipeline_en_5.5.0_3.0_1726505078339.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tofu_forget10_classifier_pipeline_en_5.5.0_3.0_1726505078339.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tofu_forget10_classifier_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tofu_forget10_classifier_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tofu_forget10_classifier_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|433.1 MB|
+
+## References
+
+https://huggingface.co/chrisliu298/tofu_forget10_classifier
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-topic_classification_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-topic_classification_pipeline_en.md
new file mode 100644
index 00000000000000..9e14ddc056c450
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-topic_classification_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English topic_classification_pipeline pipeline DistilBertForSequenceClassification from langwnwk
+author: John Snow Labs
+name: topic_classification_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`topic_classification_pipeline` is a English model originally trained by langwnwk.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/topic_classification_pipeline_en_5.5.0_3.0_1726525845957.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/topic_classification_pipeline_en_5.5.0_3.0_1726525845957.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("topic_classification_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("topic_classification_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|topic_classification_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/langwnwk/topic_classification
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-toxicity_judge_en.md b/docs/_posts/ahmedlone127/2024-09-16-toxicity_judge_en.md
new file mode 100644
index 00000000000000..467eeee2292aa3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-toxicity_judge_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English toxicity_judge DistilBertForSequenceClassification from yeshiovo
+author: John Snow Labs
+name: toxicity_judge
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`toxicity_judge` is a English model originally trained by yeshiovo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/toxicity_judge_en_5.5.0_3.0_1726506374292.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/toxicity_judge_en_5.5.0_3.0_1726506374292.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|toxicity_judge|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/yeshiovo/toxicity_judge
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-trainer_4f_en.md b/docs/_posts/ahmedlone127/2024-09-16-trainer_4f_en.md
new file mode 100644
index 00000000000000..ebb63b8406ea56
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-trainer_4f_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English trainer_4f DistilBertForSequenceClassification from SimoneJLaudani
+author: John Snow Labs
+name: trainer_4f
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, distilbert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: DistilBertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`trainer_4f` is a English model originally trained by SimoneJLaudani.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/trainer_4f_en_5.5.0_3.0_1726525794600.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/trainer_4f_en_5.5.0_3.0_1726525794600.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|translate_model_fixed_v0_1|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|522.8 MB|
+
+## References
+
+https://huggingface.co/gshields/translate_model_fixed_v0.1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-translate_model_fixed_v0_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-translate_model_fixed_v0_1_pipeline_en.md
new file mode 100644
index 00000000000000..d0501058608c3a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-translate_model_fixed_v0_1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English translate_model_fixed_v0_1_pipeline pipeline MarianTransformer from gshields
+author: John Snow Labs
+name: translate_model_fixed_v0_1_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`translate_model_fixed_v0_1_pipeline` is a English model originally trained by gshields.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/translate_model_fixed_v0_1_pipeline_en_5.5.0_3.0_1726503286388.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/translate_model_fixed_v0_1_pipeline_en_5.5.0_3.0_1726503286388.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("translate_model_fixed_v0_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("translate_model_fixed_v0_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|translate_model_fixed_v0_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|523.4 MB|
+
+## References
+
+https://huggingface.co/gshields/translate_model_fixed_v0.1
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-translate_model_fixed_v0_3_en.md b/docs/_posts/ahmedlone127/2024-09-16-translate_model_fixed_v0_3_en.md
new file mode 100644
index 00000000000000..7c173125367bcb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-translate_model_fixed_v0_3_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English translate_model_fixed_v0_3 MarianTransformer from gshields
+author: John Snow Labs
+name: translate_model_fixed_v0_3
+date: 2024-09-16
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`translate_model_fixed_v0_3` is a English model originally trained by gshields.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/translate_model_fixed_v0_3_en_5.5.0_3.0_1726493766442.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/translate_model_fixed_v0_3_en_5.5.0_3.0_1726493766442.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|translate_model_fixed_v0_3|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|522.8 MB|
+
+## References
+
+https://huggingface.co/gshields/translate_model_fixed_v0.3
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-turkish_medical_field_detection_8_en.md b/docs/_posts/ahmedlone127/2024-09-16-turkish_medical_field_detection_8_en.md
new file mode 100644
index 00000000000000..1cdd4e3ce8bf18
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-turkish_medical_field_detection_8_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English turkish_medical_field_detection_8 BertForSequenceClassification from sezinarseven
+author: John Snow Labs
+name: turkish_medical_field_detection_8
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`turkish_medical_field_detection_8` is a English model originally trained by sezinarseven.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/turkish_medical_field_detection_8_en_5.5.0_3.0_1726499064805.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/turkish_medical_field_detection_8_en_5.5.0_3.0_1726499064805.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|turkish_medical_field_detection_8|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|691.8 MB|
+
+## References
+
+https://huggingface.co/sezinarseven/turkish-medical-field-detection-8
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-turkish_medical_field_detection_8_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-turkish_medical_field_detection_8_pipeline_en.md
new file mode 100644
index 00000000000000..ddff39e6d206fe
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-turkish_medical_field_detection_8_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English turkish_medical_field_detection_8_pipeline pipeline BertForSequenceClassification from sezinarseven
+author: John Snow Labs
+name: turkish_medical_field_detection_8_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`turkish_medical_field_detection_8_pipeline` is a English model originally trained by sezinarseven.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/turkish_medical_field_detection_8_pipeline_en_5.5.0_3.0_1726499098420.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/turkish_medical_field_detection_8_pipeline_en_5.5.0_3.0_1726499098420.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("turkish_medical_field_detection_8_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("turkish_medical_field_detection_8_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|turkish_medical_field_detection_8_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|691.8 MB|
+
+## References
+
+https://huggingface.co/sezinarseven/turkish-medical-field-detection-8
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-twitter_roberta_base_dec2021_tweet_topic_single_2020_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-twitter_roberta_base_dec2021_tweet_topic_single_2020_pipeline_en.md
new file mode 100644
index 00000000000000..04fa82c9a49e96
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-twitter_roberta_base_dec2021_tweet_topic_single_2020_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English twitter_roberta_base_dec2021_tweet_topic_single_2020_pipeline pipeline RoBertaForSequenceClassification from cardiffnlp
+author: John Snow Labs
+name: twitter_roberta_base_dec2021_tweet_topic_single_2020_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_dec2021_tweet_topic_single_2020_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_tweet_topic_single_2020_pipeline_en_5.5.0_3.0_1726505146400.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_dec2021_tweet_topic_single_2020_pipeline_en_5.5.0_3.0_1726505146400.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_tweet_topic_single_2020_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("twitter_roberta_base_dec2021_tweet_topic_single_2020_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|twitter_roberta_base_dec2021_tweet_topic_single_2020_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-tweet-topic-single-2020
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-twitter_roberta_base_sentiment_latest_nizar_sayad_en.md b/docs/_posts/ahmedlone127/2024-09-16-twitter_roberta_base_sentiment_latest_nizar_sayad_en.md
new file mode 100644
index 00000000000000..0e771b8b64ed2a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-twitter_roberta_base_sentiment_latest_nizar_sayad_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English twitter_roberta_base_sentiment_latest_nizar_sayad RoBertaForSequenceClassification from nizar-sayad
+author: John Snow Labs
+name: twitter_roberta_base_sentiment_latest_nizar_sayad
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`twitter_roberta_base_sentiment_latest_nizar_sayad` is a English model originally trained by nizar-sayad.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_sentiment_latest_nizar_sayad_en_5.5.0_3.0_1726470375423.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/twitter_roberta_base_sentiment_latest_nizar_sayad_en_5.5.0_3.0_1726470375423.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|vanilla_dermat|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|es|
+|Size:|432.3 MB|
+
+## References
+
+https://huggingface.co/fundacionctic/vanilla-dermat
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-verbnet_train_en.md b/docs/_posts/ahmedlone127/2024-09-16-verbnet_train_en.md
new file mode 100644
index 00000000000000..63cf96ea1ce405
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-verbnet_train_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English verbnet_train RoBertaForTokenClassification from gguichard
+author: John Snow Labs
+name: verbnet_train
+date: 2024-09-16
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`verbnet_train` is a English model originally trained by gguichard.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/verbnet_train_en_5.5.0_3.0_1726529961493.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/verbnet_train_en_5.5.0_3.0_1726529961493.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|verbnet_train|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/gguichard/verbnet_train
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-vietnamese_whisper_small_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-vietnamese_whisper_small_pipeline_en.md
new file mode 100644
index 00000000000000..3c7a1219f25092
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-vietnamese_whisper_small_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English vietnamese_whisper_small_pipeline pipeline WhisperForCTC from DuyTa
+author: John Snow Labs
+name: vietnamese_whisper_small_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`vietnamese_whisper_small_pipeline` is a English model originally trained by DuyTa.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/vietnamese_whisper_small_pipeline_en_5.5.0_3.0_1726485979999.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/vietnamese_whisper_small_pipeline_en_5.5.0_3.0_1726485979999.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("vietnamese_whisper_small_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("vietnamese_whisper_small_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|vietnamese_whisper_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/DuyTa/vi_whisper-small
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-whisper_2e_4a_en.md b/docs/_posts/ahmedlone127/2024-09-16-whisper_2e_4a_en.md
new file mode 100644
index 00000000000000..48174592e32d37
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-whisper_2e_4a_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_2e_4a WhisperForCTC from yusufagung29
+author: John Snow Labs
+name: whisper_2e_4a
+date: 2024-09-16
+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_2e_4a` is a English model originally trained by yusufagung29.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_2e_4a_en_5.5.0_3.0_1726488799692.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_2e_4a_en_5.5.0_3.0_1726488799692.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_base_jyutping_without_tones_full_chinese_hk|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|643.4 MB|
+
+## References
+
+https://huggingface.co/AlienKevin/whisper-base-jyutping-without-tones-full-zh-HK
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-whisper_medium_14000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-whisper_medium_14000_pipeline_en.md
new file mode 100644
index 00000000000000..58e447f475ddec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-whisper_medium_14000_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_medium_14000_pipeline pipeline WhisperForCTC from abdumalikov
+author: John Snow Labs
+name: whisper_medium_14000_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_medium_14000_pipeline` is a English model originally trained by abdumalikov.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_medium_14000_pipeline_en_5.5.0_3.0_1726487877022.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_medium_14000_pipeline_en_5.5.0_3.0_1726487877022.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_medium_14000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_medium_14000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_medium_14000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/abdumalikov/whisper-medium-14000
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-whisper_small_divehi_jensg_dv.md b/docs/_posts/ahmedlone127/2024-09-16-whisper_small_divehi_jensg_dv.md
new file mode 100644
index 00000000000000..80dcac5d676ec2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-whisper_small_divehi_jensg_dv.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Dhivehi, Divehi, Maldivian whisper_small_divehi_jensg WhisperForCTC from jensg
+author: John Snow Labs
+name: whisper_small_divehi_jensg
+date: 2024-09-16
+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_jensg` is a Dhivehi, Divehi, Maldivian model originally trained by jensg.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_divehi_jensg_dv_5.5.0_3.0_1726483465577.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_divehi_jensg_dv_5.5.0_3.0_1726483465577.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_korean_finetuned_single_speaker_3922samples|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|ko|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/daekeun-ml/whisper-small-ko-finetuned-single-speaker-3922samples
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-whisper_small_korean_finetuned_single_speaker_3922samples_pipeline_ko.md b/docs/_posts/ahmedlone127/2024-09-16-whisper_small_korean_finetuned_single_speaker_3922samples_pipeline_ko.md
new file mode 100644
index 00000000000000..81b88b27d75279
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-whisper_small_korean_finetuned_single_speaker_3922samples_pipeline_ko.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Korean whisper_small_korean_finetuned_single_speaker_3922samples_pipeline pipeline WhisperForCTC from daekeun-ml
+author: John Snow Labs
+name: whisper_small_korean_finetuned_single_speaker_3922samples_pipeline
+date: 2024-09-16
+tags: [ko, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: ko
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_korean_finetuned_single_speaker_3922samples_pipeline` is a Korean model originally trained by daekeun-ml.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_korean_finetuned_single_speaker_3922samples_pipeline_ko_5.5.0_3.0_1726483659413.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_korean_finetuned_single_speaker_3922samples_pipeline_ko_5.5.0_3.0_1726483659413.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_korean_finetuned_single_speaker_3922samples_pipeline", lang = "ko")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_korean_finetuned_single_speaker_3922samples_pipeline", lang = "ko")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_korean_finetuned_single_speaker_3922samples_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|ko|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/daekeun-ml/whisper-small-ko-finetuned-single-speaker-3922samples
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-whisper_small_oxel40_en.md b/docs/_posts/ahmedlone127/2024-09-16-whisper_small_oxel40_en.md
new file mode 100644
index 00000000000000..2474447948bdca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-whisper_small_oxel40_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_small_oxel40 WhisperForCTC from Oxel40
+author: John Snow Labs
+name: whisper_small_oxel40
+date: 2024-09-16
+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_oxel40` is a English model originally trained by Oxel40.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_oxel40_en_5.5.0_3.0_1726487598830.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_oxel40_en_5.5.0_3.0_1726487598830.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_oxel40|
+|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/Oxel40/whisper-small
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-whisper_small_oxel40_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-whisper_small_oxel40_pipeline_en.md
new file mode 100644
index 00000000000000..26a73eae3d3a74
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-whisper_small_oxel40_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_oxel40_pipeline pipeline WhisperForCTC from Oxel40
+author: John Snow Labs
+name: whisper_small_oxel40_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_oxel40_pipeline` is a English model originally trained by Oxel40.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_oxel40_pipeline_en_5.5.0_3.0_1726487684470.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_oxel40_pipeline_en_5.5.0_3.0_1726487684470.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_oxel40_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_oxel40_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_oxel40_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Oxel40/whisper-small
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-whisper_small_telugu_parambharat_pipeline_te.md b/docs/_posts/ahmedlone127/2024-09-16-whisper_small_telugu_parambharat_pipeline_te.md
new file mode 100644
index 00000000000000..e18ee0012ff00e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-whisper_small_telugu_parambharat_pipeline_te.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Telugu whisper_small_telugu_parambharat_pipeline pipeline WhisperForCTC from parambharat
+author: John Snow Labs
+name: whisper_small_telugu_parambharat_pipeline
+date: 2024-09-16
+tags: [te, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: te
+edition: Spark 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_telugu_parambharat_pipeline` is a Telugu model originally trained by parambharat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_telugu_parambharat_pipeline_te_5.5.0_3.0_1726485453568.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_telugu_parambharat_pipeline_te_5.5.0_3.0_1726485453568.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_telugu_parambharat_pipeline", lang = "te")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_telugu_parambharat_pipeline", lang = "te")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_telugu_parambharat_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|te|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/parambharat/whisper-small-te
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-whisper_small_telugu_parambharat_te.md b/docs/_posts/ahmedlone127/2024-09-16-whisper_small_telugu_parambharat_te.md
new file mode 100644
index 00000000000000..a0ab83a8dfcbcc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-whisper_small_telugu_parambharat_te.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Telugu whisper_small_telugu_parambharat WhisperForCTC from parambharat
+author: John Snow Labs
+name: whisper_small_telugu_parambharat
+date: 2024-09-16
+tags: [te, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: te
+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_telugu_parambharat` is a Telugu model originally trained by parambharat.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_telugu_parambharat_te_5.5.0_3.0_1726485368871.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_telugu_parambharat_te_5.5.0_3.0_1726485368871.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_telugu_parambharat|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|te|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/parambharat/whisper-small-te
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-whisper_small_vietnamese_chuvash_fl_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-whisper_small_vietnamese_chuvash_fl_v1_pipeline_en.md
new file mode 100644
index 00000000000000..269e384fb559ec
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-whisper_small_vietnamese_chuvash_fl_v1_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_vietnamese_chuvash_fl_v1_pipeline pipeline WhisperForCTC from thanhduycao
+author: John Snow Labs
+name: whisper_small_vietnamese_chuvash_fl_v1_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_vietnamese_chuvash_fl_v1_pipeline` is a English model originally trained by thanhduycao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_vietnamese_chuvash_fl_v1_pipeline_en_5.5.0_3.0_1726486946954.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_vietnamese_chuvash_fl_v1_pipeline_en_5.5.0_3.0_1726486946954.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_vietnamese_chuvash_fl_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_vietnamese_chuvash_fl_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_vietnamese_chuvash_fl_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/thanhduycao/whisper-small-vi-cv-fl-v1
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-whisper_small_vtlustos_en.md b/docs/_posts/ahmedlone127/2024-09-16-whisper_small_vtlustos_en.md
new file mode 100644
index 00000000000000..8cb34d0d458195
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-whisper_small_vtlustos_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_small_vtlustos WhisperForCTC from vtlustos
+author: John Snow Labs
+name: whisper_small_vtlustos
+date: 2024-09-16
+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_vtlustos` is a English model originally trained by vtlustos.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_vtlustos_en_5.5.0_3.0_1726485497173.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_vtlustos_en_5.5.0_3.0_1726485497173.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_vtlustos|
+|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/vtlustos/whisper-small
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-whisper_small_vtlustos_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-whisper_small_vtlustos_pipeline_en.md
new file mode 100644
index 00000000000000..2b9464195c6e31
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-whisper_small_vtlustos_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_vtlustos_pipeline pipeline WhisperForCTC from vtlustos
+author: John Snow Labs
+name: whisper_small_vtlustos_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_vtlustos_pipeline` is a English model originally trained by vtlustos.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_vtlustos_pipeline_en_5.5.0_3.0_1726485582397.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_vtlustos_pipeline_en_5.5.0_3.0_1726485582397.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_vtlustos_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_vtlustos_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_vtlustos_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/vtlustos/whisper-small
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-whisper_small_western_frisian_dutch_transfer_from_english_polixonrio_pipeline_fy.md b/docs/_posts/ahmedlone127/2024-09-16-whisper_small_western_frisian_dutch_transfer_from_english_polixonrio_pipeline_fy.md
new file mode 100644
index 00000000000000..4be95a31c7e9ff
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-whisper_small_western_frisian_dutch_transfer_from_english_polixonrio_pipeline_fy.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Western Frisian whisper_small_western_frisian_dutch_transfer_from_english_polixonrio_pipeline pipeline WhisperForCTC from polixonrio
+author: John Snow Labs
+name: whisper_small_western_frisian_dutch_transfer_from_english_polixonrio_pipeline
+date: 2024-09-16
+tags: [fy, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: fy
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_western_frisian_dutch_transfer_from_english_polixonrio_pipeline` is a Western Frisian model originally trained by polixonrio.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_western_frisian_dutch_transfer_from_english_polixonrio_pipeline_fy_5.5.0_3.0_1726485199075.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_western_frisian_dutch_transfer_from_english_polixonrio_pipeline_fy_5.5.0_3.0_1726485199075.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_western_frisian_dutch_transfer_from_english_polixonrio_pipeline", lang = "fy")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_western_frisian_dutch_transfer_from_english_polixonrio_pipeline", lang = "fy")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_western_frisian_dutch_transfer_from_english_polixonrio_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|fy|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/polixonrio/whisper-small-fy-NL-Transfer-From-EN
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-whisper_sv3_pipeline_sv.md b/docs/_posts/ahmedlone127/2024-09-16-whisper_sv3_pipeline_sv.md
new file mode 100644
index 00000000000000..b9fc5389280906
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-whisper_sv3_pipeline_sv.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Swedish whisper_sv3_pipeline pipeline WhisperForCTC from SebLih
+author: John Snow Labs
+name: whisper_sv3_pipeline
+date: 2024-09-16
+tags: [sv, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: sv
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_sv3_pipeline` is a Swedish model originally trained by SebLih.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_sv3_pipeline_sv_5.5.0_3.0_1726484599370.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_sv3_pipeline_sv_5.5.0_3.0_1726484599370.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_sv3_pipeline", lang = "sv")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_sv3_pipeline", lang = "sv")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_sv3_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|sv|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/SebLih/whisper-SV3
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-whisper_sv3_sv.md b/docs/_posts/ahmedlone127/2024-09-16-whisper_sv3_sv.md
new file mode 100644
index 00000000000000..eed1d2d3581152
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-whisper_sv3_sv.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Swedish whisper_sv3 WhisperForCTC from SebLih
+author: John Snow Labs
+name: whisper_sv3
+date: 2024-09-16
+tags: [sv, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: sv
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_sv3` is a Swedish model originally trained by SebLih.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_sv3_sv_5.5.0_3.0_1726484488982.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_sv3_sv_5.5.0_3.0_1726484488982.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_english_us_hamzasidhu786|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|242.7 MB|
+
+## References
+
+https://huggingface.co/HamzaSidhu786/whisper-tiny-en_US
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-whisper_tiny_english_us_hamzasidhu786_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-whisper_tiny_english_us_hamzasidhu786_pipeline_en.md
new file mode 100644
index 00000000000000..cba5fff06624fc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-whisper_tiny_english_us_hamzasidhu786_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_tiny_english_us_hamzasidhu786_pipeline pipeline WhisperForCTC from HamzaSidhu786
+author: John Snow Labs
+name: whisper_tiny_english_us_hamzasidhu786_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_english_us_hamzasidhu786_pipeline` is a English model originally trained by HamzaSidhu786.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_english_us_hamzasidhu786_pipeline_en_5.5.0_3.0_1726476443832.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_english_us_hamzasidhu786_pipeline_en_5.5.0_3.0_1726476443832.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_english_us_hamzasidhu786_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_english_us_hamzasidhu786_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_english_us_hamzasidhu786_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|242.7 MB|
+
+## References
+
+https://huggingface.co/HamzaSidhu786/whisper-tiny-en_US
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-whisper_tiny_english_us_sfedar_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-whisper_tiny_english_us_sfedar_pipeline_en.md
new file mode 100644
index 00000000000000..b393dece80bfaa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-whisper_tiny_english_us_sfedar_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_tiny_english_us_sfedar_pipeline pipeline WhisperForCTC from sfedar
+author: John Snow Labs
+name: whisper_tiny_english_us_sfedar_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_english_us_sfedar_pipeline` is a English model originally trained by sfedar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_english_us_sfedar_pipeline_en_5.5.0_3.0_1726478977758.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_english_us_sfedar_pipeline_en_5.5.0_3.0_1726478977758.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_english_us_sfedar_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_english_us_sfedar_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_english_us_sfedar_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|389.9 MB|
+
+## References
+
+https://huggingface.co/sfedar/whisper-tiny-en-US
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-whisper_tiny_finetuned_minds14_lightmourne_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-whisper_tiny_finetuned_minds14_lightmourne_pipeline_en.md
new file mode 100644
index 00000000000000..bec9927718a44f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-whisper_tiny_finetuned_minds14_lightmourne_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_tiny_finetuned_minds14_lightmourne_pipeline pipeline WhisperForCTC from Lightmourne
+author: John Snow Labs
+name: whisper_tiny_finetuned_minds14_lightmourne_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_finetuned_minds14_lightmourne_pipeline` is a English model originally trained by Lightmourne.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_finetuned_minds14_lightmourne_pipeline_en_5.5.0_3.0_1726486770975.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_finetuned_minds14_lightmourne_pipeline_en_5.5.0_3.0_1726486770975.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_finetuned_minds14_lightmourne_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_finetuned_minds14_lightmourne_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_finetuned_minds14_lightmourne_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|390.9 MB|
+
+## References
+
+https://huggingface.co/Lightmourne/whisper-tiny-finetuned-minds14
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-whisper_tiny_polyai_en.md b/docs/_posts/ahmedlone127/2024-09-16-whisper_tiny_polyai_en.md
new file mode 100644
index 00000000000000..f81e4603b21d51
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-whisper_tiny_polyai_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_tiny_polyai WhisperForCTC from giocs2017
+author: John Snow Labs
+name: whisper_tiny_polyai
+date: 2024-09-16
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_polyai` is a English model originally trained by giocs2017.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_polyai_en_5.5.0_3.0_1726485501763.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_polyai_en_5.5.0_3.0_1726485501763.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_thai_pattara12345|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|390.0 MB|
+
+## References
+
+https://huggingface.co/pattara12345/whisper-tiny-th
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-whisper_v4_small_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-whisper_v4_small_pipeline_en.md
new file mode 100644
index 00000000000000..6cb84327d77d44
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-whisper_v4_small_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_v4_small_pipeline pipeline WhisperForCTC from karinthommen
+author: John Snow Labs
+name: whisper_v4_small_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_v4_small_pipeline` is a English model originally trained by karinthommen.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_v4_small_pipeline_en_5.5.0_3.0_1726488277983.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_v4_small_pipeline_en_5.5.0_3.0_1726488277983.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_v4_small_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_v4_small_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_v4_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/karinthommen/whisper-V4-small
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-whisper_wolof_wo.md b/docs/_posts/ahmedlone127/2024-09-16-whisper_wolof_wo.md
new file mode 100644
index 00000000000000..dc4667e5079199
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-whisper_wolof_wo.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Wolof whisper_wolof WhisperForCTC from cibfaye
+author: John Snow Labs
+name: whisper_wolof
+date: 2024-09-16
+tags: [wo, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: wo
+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_wolof` is a Wolof model originally trained by cibfaye.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_wolof_wo_5.5.0_3.0_1726479232712.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_wolof_wo_5.5.0_3.0_1726479232712.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_wolof|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|wo|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/cibfaye/whisper-wolof
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-withinapps_ndd_addressbook_test_content_tags_cwadj_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-withinapps_ndd_addressbook_test_content_tags_cwadj_pipeline_en.md
new file mode 100644
index 00000000000000..cc8727ba32a30d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-withinapps_ndd_addressbook_test_content_tags_cwadj_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English withinapps_ndd_addressbook_test_content_tags_cwadj_pipeline pipeline DistilBertForSequenceClassification from lgk03
+author: John Snow Labs
+name: withinapps_ndd_addressbook_test_content_tags_cwadj_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`withinapps_ndd_addressbook_test_content_tags_cwadj_pipeline` is a English model originally trained by lgk03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/withinapps_ndd_addressbook_test_content_tags_cwadj_pipeline_en_5.5.0_3.0_1726525657462.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/withinapps_ndd_addressbook_test_content_tags_cwadj_pipeline_en_5.5.0_3.0_1726525657462.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("withinapps_ndd_addressbook_test_content_tags_cwadj_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("withinapps_ndd_addressbook_test_content_tags_cwadj_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|withinapps_ndd_addressbook_test_content_tags_cwadj_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|249.5 MB|
+
+## References
+
+https://huggingface.co/lgk03/WITHINAPPS_NDD-addressbook_test-content_tags-CWAdj
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- DistilBertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_language_detection_brenomatos_en.md b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_language_detection_brenomatos_en.md
new file mode 100644
index 00000000000000..99f9030bc8b042
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_language_detection_brenomatos_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_language_detection_brenomatos BertForSequenceClassification from brenomatos
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_language_detection_brenomatos
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, bert]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_language_detection_brenomatos` is a English model originally trained by brenomatos.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_language_detection_brenomatos_en_5.5.0_3.0_1726459800736.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_language_detection_brenomatos_en_5.5.0_3.0_1726459800736.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_language_detection_brenomatos|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|667.3 MB|
+
+## References
+
+https://huggingface.co/brenomatos/xlm-roberta-base-finetuned-language-detection
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_language_detection_brenomatos_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_language_detection_brenomatos_pipeline_en.md
new file mode 100644
index 00000000000000..c159cddd451f4c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_language_detection_brenomatos_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_language_detection_brenomatos_pipeline pipeline BertForSequenceClassification from brenomatos
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_language_detection_brenomatos_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_language_detection_brenomatos_pipeline` is a English model originally trained by brenomatos.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_language_detection_brenomatos_pipeline_en_5.5.0_3.0_1726459831161.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_language_detection_brenomatos_pipeline_en_5.5.0_3.0_1726459831161.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_language_detection_brenomatos_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_language_detection_brenomatos_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_language_detection_brenomatos_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|667.3 MB|
+
+## References
+
+https://huggingface.co/brenomatos/xlm-roberta-base-finetuned-language-detection
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- BertForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_all_jhagege_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_all_jhagege_pipeline_en.md
new file mode 100644
index 00000000000000..d73e6ade5f77dd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_all_jhagege_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_all_jhagege_pipeline pipeline XlmRoBertaForTokenClassification from jhagege
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_all_jhagege_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_all_jhagege_pipeline` is a English model originally trained by jhagege.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_jhagege_pipeline_en_5.5.0_3.0_1726495950602.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_jhagege_pipeline_en_5.5.0_3.0_1726495950602.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_jhagege_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_all_jhagege_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_all_jhagege_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|859.8 MB|
+
+## References
+
+https://huggingface.co/jhagege/xlm-roberta-base-finetuned-panx-all
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_all_laurentiustancioiu_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_all_laurentiustancioiu_pipeline_en.md
new file mode 100644
index 00000000000000..9b57d53e58edb4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_all_laurentiustancioiu_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_all_laurentiustancioiu_pipeline pipeline XlmRoBertaForTokenClassification from LaurentiuStancioiu
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_all_laurentiustancioiu_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_all_laurentiustancioiu_pipeline` is a English model originally trained by LaurentiuStancioiu.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_laurentiustancioiu_pipeline_en_5.5.0_3.0_1726497570367.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_laurentiustancioiu_pipeline_en_5.5.0_3.0_1726497570367.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_laurentiustancioiu_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_all_laurentiustancioiu_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_all_laurentiustancioiu_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|858.2 MB|
+
+## References
+
+https://huggingface.co/LaurentiuStancioiu/xlm-roberta-base-finetuned-panx-all
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_all_tyayoi_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_all_tyayoi_pipeline_en.md
new file mode 100644
index 00000000000000..3e9b03421090f4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_all_tyayoi_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_all_tyayoi_pipeline pipeline XlmRoBertaForTokenClassification from tyayoi
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_all_tyayoi_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_all_tyayoi_pipeline` is a English model originally trained by tyayoi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_all_tyayoi_pipeline_en_5.5.0_3.0_1726496478951.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_tyayoi_pipeline_en_5.5.0_3.0_1726496478951.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_tyayoi_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_all_tyayoi_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_all_tyayoi_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|848.0 MB|
+
+## References
+
+https://huggingface.co/tyayoi/xlm-roberta-base-finetuned-panx-all
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_bengali_deepaperi_en.md b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_bengali_deepaperi_en.md
new file mode 100644
index 00000000000000..66aaafb20ccb82
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_bengali_deepaperi_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_bengali_deepaperi XlmRoBertaForTokenClassification from DeepaPeri
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_bengali_deepaperi
+date: 2024-09-16
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_bengali_deepaperi` is a English model originally trained by DeepaPeri.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_bengali_deepaperi_en_5.5.0_3.0_1726495374345.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_deepaperi_en_5.5.0_3.0_1726495374345.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_deepaperi|
+|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/DeepaPeri/xlm-roberta-base-finetuned-panx-bn
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_english_alkampfer_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_english_alkampfer_pipeline_en.md
new file mode 100644
index 00000000000000..2382c358ee59f6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_english_alkampfer_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_alkampfer_pipeline pipeline XlmRoBertaForTokenClassification from alkampfer
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_alkampfer_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_english_alkampfer_pipeline` is a English model originally trained by alkampfer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_alkampfer_pipeline_en_5.5.0_3.0_1726496408885.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_alkampfer_pipeline_en_5.5.0_3.0_1726496408885.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_alkampfer_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_english_alkampfer_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_english_alkampfer_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|826.4 MB|
+
+## References
+
+https://huggingface.co/alkampfer/xlm-roberta-base-finetuned-panx-en
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_english_param_mehta_en.md b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_english_param_mehta_en.md
new file mode 100644
index 00000000000000..b2bfbd8ef1a2bd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_english_param_mehta_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_english_param_mehta XlmRoBertaForTokenClassification from param-mehta
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_english_param_mehta
+date: 2024-09-16
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_english_param_mehta` is a English model originally trained by param-mehta.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_english_param_mehta_en_5.5.0_3.0_1726495447469.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_param_mehta_en_5.5.0_3.0_1726495447469.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_param_mehta|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|817.2 MB|
+
+## References
+
+https://huggingface.co/param-mehta/xlm-roberta-base-finetuned-panx-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_french_aiekek_en.md b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_french_aiekek_en.md
new file mode 100644
index 00000000000000..95418ebe148d85
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_french_aiekek_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_aiekek XlmRoBertaForTokenClassification from AIEKEK
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_aiekek
+date: 2024-09-16
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_aiekek` is a English model originally trained by AIEKEK.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_aiekek_en_5.5.0_3.0_1726497427137.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_aiekek_en_5.5.0_3.0_1726497427137.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_aiekek|
+|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/AIEKEK/xlm-roberta-base-finetuned-panx-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_french_aiekek_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_french_aiekek_pipeline_en.md
new file mode 100644
index 00000000000000..12c211d4eb1c67
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_french_aiekek_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_french_aiekek_pipeline pipeline XlmRoBertaForTokenClassification from AIEKEK
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_french_aiekek_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_french_aiekek_pipeline` is a English model originally trained by AIEKEK.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_french_aiekek_pipeline_en_5.5.0_3.0_1726497515459.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_aiekek_pipeline_en_5.5.0_3.0_1726497515459.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_aiekek_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_french_aiekek_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_french_aiekek_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|827.9 MB|
+
+## References
+
+https://huggingface.co/AIEKEK/xlm-roberta-base-finetuned-panx-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_german_brouwer_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_german_brouwer_pipeline_en.md
new file mode 100644
index 00000000000000..ce9bfb3f6211e8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_german_brouwer_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_brouwer_pipeline pipeline XlmRoBertaForTokenClassification from brouwer
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_brouwer_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_brouwer_pipeline` is a English model originally trained by brouwer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_brouwer_pipeline_en_5.5.0_3.0_1726495979443.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_brouwer_pipeline_en_5.5.0_3.0_1726495979443.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_brouwer_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_brouwer_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_brouwer_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|574.7 MB|
+
+## References
+
+https://huggingface.co/brouwer/xlm-roberta-base-finetuned-panx-de
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_german_french_francois2511_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_german_french_francois2511_pipeline_en.md
new file mode 100644
index 00000000000000..697eb1b2dd4e10
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_german_french_francois2511_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_francois2511_pipeline pipeline XlmRoBertaForTokenClassification from Francois2511
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_francois2511_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_francois2511_pipeline` is a English model originally trained by Francois2511.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_francois2511_pipeline_en_5.5.0_3.0_1726497080407.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_francois2511_pipeline_en_5.5.0_3.0_1726497080407.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_francois2511_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_francois2511_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_francois2511_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|843.4 MB|
+
+## References
+
+https://huggingface.co/Francois2511/xlm-roberta-base-finetuned-panx-de-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_german_french_jx7789_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_german_french_jx7789_pipeline_en.md
new file mode 100644
index 00000000000000..2d880541f96116
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_german_french_jx7789_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_jx7789_pipeline pipeline XlmRoBertaForTokenClassification from jx7789
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_jx7789_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_jx7789_pipeline` is a English model originally trained by jx7789.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_jx7789_pipeline_en_5.5.0_3.0_1726495124187.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_jx7789_pipeline_en_5.5.0_3.0_1726495124187.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_jx7789_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_jx7789_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_jx7789_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|858.2 MB|
+
+## References
+
+https://huggingface.co/jx7789/xlm-roberta-base-finetuned-panx-de-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_german_french_msrisrujan_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_german_french_msrisrujan_pipeline_en.md
new file mode 100644
index 00000000000000..6fdfca71b39efa
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_german_french_msrisrujan_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_msrisrujan_pipeline pipeline XlmRoBertaForTokenClassification from Msrisrujan
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_msrisrujan_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_msrisrujan_pipeline` is a English model originally trained by Msrisrujan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_msrisrujan_pipeline_en_5.5.0_3.0_1726497726445.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_msrisrujan_pipeline_en_5.5.0_3.0_1726497726445.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_msrisrujan_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_msrisrujan_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_msrisrujan_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|858.2 MB|
+
+## References
+
+https://huggingface.co/Msrisrujan/xlm-roberta-base-finetuned-panx-de-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_german_french_yoyoyo1118_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_german_french_yoyoyo1118_pipeline_en.md
new file mode 100644
index 00000000000000..356cc6121d565e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_german_french_yoyoyo1118_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_yoyoyo1118_pipeline pipeline XlmRoBertaForTokenClassification from yoyoyo1118
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_yoyoyo1118_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_yoyoyo1118_pipeline` is a English model originally trained by yoyoyo1118.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_yoyoyo1118_pipeline_en_5.5.0_3.0_1726495261905.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_yoyoyo1118_pipeline_en_5.5.0_3.0_1726495261905.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_yoyoyo1118_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_yoyoyo1118_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_yoyoyo1118_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|858.2 MB|
+
+## References
+
+https://huggingface.co/yoyoyo1118/xlm-roberta-base-finetuned-panx-de-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_german_french_zdepablo_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_german_french_zdepablo_pipeline_en.md
new file mode 100644
index 00000000000000..6623e644c8a2d9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_german_french_zdepablo_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_french_zdepablo_pipeline pipeline XlmRoBertaForTokenClassification from zdepablo
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_french_zdepablo_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_french_zdepablo_pipeline` is a English model originally trained by zdepablo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_french_zdepablo_pipeline_en_5.5.0_3.0_1726497355141.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_zdepablo_pipeline_en_5.5.0_3.0_1726497355141.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_zdepablo_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_german_french_zdepablo_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_german_french_zdepablo_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|858.2 MB|
+
+## References
+
+https://huggingface.co/zdepablo/xlm-roberta-base-finetuned-panx-de-fr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_german_fyl1_en.md b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_german_fyl1_en.md
new file mode 100644
index 00000000000000..f874b8279b1442
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_german_fyl1_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_fyl1 XlmRoBertaForTokenClassification from fyl1
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_fyl1
+date: 2024-09-16
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_fyl1` is a English model originally trained by fyl1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_fyl1_en_5.5.0_3.0_1726496180232.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_fyl1_en_5.5.0_3.0_1726496180232.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_fyl1|
+|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/fyl1/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_german_nadle_en.md b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_german_nadle_en.md
new file mode 100644
index 00000000000000..508911df5c0850
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_german_nadle_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_german_nadle XlmRoBertaForTokenClassification from nadle
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_german_nadle
+date: 2024-09-16
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_german_nadle` is a English model originally trained by nadle.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_german_nadle_en_5.5.0_3.0_1726495248781.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_nadle_en_5.5.0_3.0_1726495248781.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_nadle|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|826.9 MB|
+
+## References
+
+https://huggingface.co/nadle/xlm-roberta-base-finetuned-panx-de
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_italian_jhagege_en.md b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_italian_jhagege_en.md
new file mode 100644
index 00000000000000..bf24ecc7ea2422
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_italian_jhagege_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_italian_jhagege XlmRoBertaForTokenClassification from jhagege
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_italian_jhagege
+date: 2024-09-16
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_italian_jhagege` is a English model originally trained by jhagege.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_jhagege_en_5.5.0_3.0_1726495121592.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_jhagege_en_5.5.0_3.0_1726495121592.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_jhagege|
+|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/jhagege/xlm-roberta-base-finetuned-panx-it
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_italian_jhagege_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_italian_jhagege_pipeline_en.md
new file mode 100644
index 00000000000000..625736b0a85aca
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_italian_jhagege_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_italian_jhagege_pipeline pipeline XlmRoBertaForTokenClassification from jhagege
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_italian_jhagege_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_italian_jhagege_pipeline` is a English model originally trained by jhagege.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_jhagege_pipeline_en_5.5.0_3.0_1726495219849.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_jhagege_pipeline_en_5.5.0_3.0_1726495219849.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_jhagege_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_italian_jhagege_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_italian_jhagege_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|828.6 MB|
+
+## References
+
+https://huggingface.co/jhagege/xlm-roberta-base-finetuned-panx-it
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_italian_paww_en.md b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_italian_paww_en.md
new file mode 100644
index 00000000000000..f7a281fb6cf405
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_italian_paww_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_italian_paww XlmRoBertaForTokenClassification from paww
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_italian_paww
+date: 2024-09-16
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_italian_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_italian_paww_en_5.5.0_3.0_1726496997315.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_paww_en_5.5.0_3.0_1726496997315.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_paww|
+|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/paww/xlm-roberta-base-finetuned-panx-it
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_italian_pockypocky_en.md b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_italian_pockypocky_en.md
new file mode 100644
index 00000000000000..c1b0ba8c2a1b3c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_italian_pockypocky_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_italian_pockypocky XlmRoBertaForTokenClassification from pockypocky
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_italian_pockypocky
+date: 2024-09-16
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_italian_pockypocky` is a English model originally trained by pockypocky.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_pockypocky_en_5.5.0_3.0_1726495759046.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_pockypocky_en_5.5.0_3.0_1726495759046.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_pockypocky|
+|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/pockypocky/xlm-roberta-base-finetuned-panx-it
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_italian_sreek_en.md b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_italian_sreek_en.md
new file mode 100644
index 00000000000000..a09593d4dfd17f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_italian_sreek_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_italian_sreek XlmRoBertaForTokenClassification from Sreek
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_italian_sreek
+date: 2024-09-16
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_italian_sreek` is a English model originally trained by Sreek.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_sreek_en_5.5.0_3.0_1726495555552.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_sreek_en_5.5.0_3.0_1726495555552.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_sreek|
+|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/Sreek/xlm-roberta-base-finetuned-panx-it
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_italian_sreek_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_italian_sreek_pipeline_en.md
new file mode 100644
index 00000000000000..8c0df4a5e02c49
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_finetuned_panx_italian_sreek_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_finetuned_panx_italian_sreek_pipeline pipeline XlmRoBertaForTokenClassification from Sreek
+author: John Snow Labs
+name: xlm_roberta_base_finetuned_panx_italian_sreek_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_finetuned_panx_italian_sreek_pipeline` is a English model originally trained by Sreek.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_finetuned_panx_italian_sreek_pipeline_en_5.5.0_3.0_1726495641768.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_sreek_pipeline_en_5.5.0_3.0_1726495641768.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_sreek_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_finetuned_panx_italian_sreek_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_finetuned_panx_italian_sreek_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|828.7 MB|
+
+## References
+
+https://huggingface.co/Sreek/xlm-roberta-base-finetuned-panx-it
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_lr0_0001_seed42_kinyarwanda_hau_eng_train_en.md b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_lr0_0001_seed42_kinyarwanda_hau_eng_train_en.md
new file mode 100644
index 00000000000000..333d802c9988f1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_lr0_0001_seed42_kinyarwanda_hau_eng_train_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_lr0_0001_seed42_kinyarwanda_hau_eng_train XlmRoBertaForSequenceClassification from shanhy
+author: John Snow Labs
+name: xlm_roberta_base_lr0_0001_seed42_kinyarwanda_hau_eng_train
+date: 2024-09-16
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_lr0_0001_seed42_kinyarwanda_hau_eng_train` is a English model originally trained by shanhy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_lr0_0001_seed42_kinyarwanda_hau_eng_train_en_5.5.0_3.0_1726516151998.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_kinyarwanda_hau_eng_train_en_5.5.0_3.0_1726516151998.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_lr0_0001_seed42_kinyarwanda_hau_eng_train|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|817.4 MB|
+
+## References
+
+https://huggingface.co/shanhy/xlm-roberta-base_lr0.0001_seed42_kin-hau-eng_train
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_lr0_0001_seed42_kinyarwanda_hau_eng_train_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_lr0_0001_seed42_kinyarwanda_hau_eng_train_pipeline_en.md
new file mode 100644
index 00000000000000..a474e8314d0e3f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_base_lr0_0001_seed42_kinyarwanda_hau_eng_train_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_lr0_0001_seed42_kinyarwanda_hau_eng_train_pipeline pipeline XlmRoBertaForSequenceClassification from shanhy
+author: John Snow Labs
+name: xlm_roberta_base_lr0_0001_seed42_kinyarwanda_hau_eng_train_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_lr0_0001_seed42_kinyarwanda_hau_eng_train_pipeline` is a English model originally trained by shanhy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_lr0_0001_seed42_kinyarwanda_hau_eng_train_pipeline_en_5.5.0_3.0_1726516277248.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_kinyarwanda_hau_eng_train_pipeline_en_5.5.0_3.0_1726516277248.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_kinyarwanda_hau_eng_train_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_lr0_0001_seed42_kinyarwanda_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_kinyarwanda_hau_eng_train_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|817.4 MB|
+
+## References
+
+https://huggingface.co/shanhy/xlm-roberta-base_lr0.0001_seed42_kin-hau-eng_train
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_conll2003_en.md b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_conll2003_en.md
new file mode 100644
index 00000000000000..44e789b11cf093
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_conll2003_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_conll2003 XlmRoBertaForTokenClassification from manirai91
+author: John Snow Labs
+name: xlm_roberta_conll2003
+date: 2024-09-16
+tags: [en, open_source, onnx, token_classification, xlm_roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_conll2003` is a English model originally trained by manirai91.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_conll2003_en_5.5.0_3.0_1726495880915.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_conll2003_en_5.5.0_3.0_1726495880915.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_conll2003|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|853.6 MB|
+
+## References
+
+https://huggingface.co/manirai91/xlm-roberta-conll2003
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_finetuned_emojis_1_client_toxic_krum_non_iid_fed_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_finetuned_emojis_1_client_toxic_krum_non_iid_fed_pipeline_en.md
new file mode 100644
index 00000000000000..aff33bb9f7d9f9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-xlm_roberta_finetuned_emojis_1_client_toxic_krum_non_iid_fed_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_finetuned_emojis_1_client_toxic_krum_non_iid_fed_pipeline pipeline XlmRoBertaForSequenceClassification from Karim-Gamal
+author: John Snow Labs
+name: xlm_roberta_finetuned_emojis_1_client_toxic_krum_non_iid_fed_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_finetuned_emojis_1_client_toxic_krum_non_iid_fed_pipeline` is a English model originally trained by Karim-Gamal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_finetuned_emojis_1_client_toxic_krum_non_iid_fed_pipeline_en_5.5.0_3.0_1726517166511.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_finetuned_emojis_1_client_toxic_krum_non_iid_fed_pipeline_en_5.5.0_3.0_1726517166511.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_finetuned_emojis_1_client_toxic_krum_non_iid_fed_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_finetuned_emojis_1_client_toxic_krum_non_iid_fed_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_finetuned_emojis_1_client_toxic_krum_non_iid_fed_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/Karim-Gamal/XLM-Roberta-finetuned-emojis-1-client-toxic-Krum-non-IID-Fed
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-yt_special_batch8_tiny_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-yt_special_batch8_tiny_pipeline_en.md
new file mode 100644
index 00000000000000..16b7ce59758e58
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-yt_special_batch8_tiny_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English yt_special_batch8_tiny_pipeline pipeline WhisperForCTC from TheRains
+author: John Snow Labs
+name: yt_special_batch8_tiny_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`yt_special_batch8_tiny_pipeline` is a English model originally trained by TheRains.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/yt_special_batch8_tiny_pipeline_en_5.5.0_3.0_1726483710970.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/yt_special_batch8_tiny_pipeline_en_5.5.0_3.0_1726483710970.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("yt_special_batch8_tiny_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("yt_special_batch8_tiny_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|yt_special_batch8_tiny_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|390.8 MB|
+
+## References
+
+https://huggingface.co/TheRains/yt-special-batch8-tiny
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-16-zhask_70_15_15_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-16-zhask_70_15_15_pipeline_en.md
new file mode 100644
index 00000000000000..2bd389e775ded9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-16-zhask_70_15_15_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English zhask_70_15_15_pipeline pipeline RoBertaForSequenceClassification from tegaranggana
+author: John Snow Labs
+name: zhask_70_15_15_pipeline
+date: 2024-09-16
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`zhask_70_15_15_pipeline` is a English model originally trained by tegaranggana.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/zhask_70_15_15_pipeline_en_5.5.0_3.0_1726527299645.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/zhask_70_15_15_pipeline_en_5.5.0_3.0_1726527299645.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("zhask_70_15_15_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("zhask_70_15_15_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|zhask_70_15_15_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|467.7 MB|
+
+## References
+
+https://huggingface.co/tegaranggana/zhask_70_15_15
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-affilgood_ner_test_v5_en.md b/docs/_posts/ahmedlone127/2024-09-17-affilgood_ner_test_v5_en.md
new file mode 100644
index 00000000000000..12ba3723b8da25
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-affilgood_ner_test_v5_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English affilgood_ner_test_v5 RoBertaForTokenClassification from nicolauduran45
+author: John Snow Labs
+name: affilgood_ner_test_v5
+date: 2024-09-17
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`affilgood_ner_test_v5` is a English model originally trained by nicolauduran45.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/affilgood_ner_test_v5_en_5.5.0_3.0_1726537494157.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/affilgood_ner_test_v5_en_5.5.0_3.0_1726537494157.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|affilgood_ner_test_v5|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|466.1 MB|
+
+## References
+
+https://huggingface.co/nicolauduran45/affilgood-ner-test-v5
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-affilgood_ner_test_v5_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-affilgood_ner_test_v5_pipeline_en.md
new file mode 100644
index 00000000000000..0f8777fefbd0ab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-affilgood_ner_test_v5_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English affilgood_ner_test_v5_pipeline pipeline RoBertaForTokenClassification from nicolauduran45
+author: John Snow Labs
+name: affilgood_ner_test_v5_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`affilgood_ner_test_v5_pipeline` is a English model originally trained by nicolauduran45.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/affilgood_ner_test_v5_pipeline_en_5.5.0_3.0_1726537519126.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/affilgood_ner_test_v5_pipeline_en_5.5.0_3.0_1726537519126.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("affilgood_ner_test_v5_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("affilgood_ner_test_v5_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|affilgood_ner_test_v5_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|466.1 MB|
+
+## References
+
+https://huggingface.co/nicolauduran45/affilgood-ner-test-v5
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-autotrain_qaindobert_44800112738_en.md b/docs/_posts/ahmedlone127/2024-09-17-autotrain_qaindobert_44800112738_en.md
new file mode 100644
index 00000000000000..8302b665c48748
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-autotrain_qaindobert_44800112738_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English autotrain_qaindobert_44800112738 BertForQuestionAnswering from reyhanAfri
+author: John Snow Labs
+name: autotrain_qaindobert_44800112738
+date: 2024-09-17
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_qaindobert_44800112738` is a English model originally trained by reyhanAfri.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_qaindobert_44800112738_en_5.5.0_3.0_1726532135521.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_qaindobert_44800112738_en_5.5.0_3.0_1726532135521.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autotrain_qaindobert_44800112738|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|41.9 MB|
+
+## References
+
+https://huggingface.co/reyhanAfri/autotrain-qaindobert-44800112738
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-autotrain_qaindobert_44800112738_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-autotrain_qaindobert_44800112738_pipeline_en.md
new file mode 100644
index 00000000000000..a03a368e3061dc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-autotrain_qaindobert_44800112738_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English autotrain_qaindobert_44800112738_pipeline pipeline BertForQuestionAnswering from reyhanAfri
+author: John Snow Labs
+name: autotrain_qaindobert_44800112738_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`autotrain_qaindobert_44800112738_pipeline` is a English model originally trained by reyhanAfri.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/autotrain_qaindobert_44800112738_pipeline_en_5.5.0_3.0_1726532137901.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/autotrain_qaindobert_44800112738_pipeline_en_5.5.0_3.0_1726532137901.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("autotrain_qaindobert_44800112738_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("autotrain_qaindobert_44800112738_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|autotrain_qaindobert_44800112738_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|41.9 MB|
+
+## References
+
+https://huggingface.co/reyhanAfri/autotrain-qaindobert-44800112738
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-bangla_asr_v7_pipeline_bn.md b/docs/_posts/ahmedlone127/2024-09-17-bangla_asr_v7_pipeline_bn.md
new file mode 100644
index 00000000000000..72588610921d14
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-bangla_asr_v7_pipeline_bn.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Bengali bangla_asr_v7_pipeline pipeline WhisperForCTC from arif11
+author: John Snow Labs
+name: bangla_asr_v7_pipeline
+date: 2024-09-17
+tags: [bn, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: bn
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bangla_asr_v7_pipeline` is a Bengali model originally trained by arif11.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bangla_asr_v7_pipeline_bn_5.5.0_3.0_1726540070642.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bangla_asr_v7_pipeline_bn_5.5.0_3.0_1726540070642.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bangla_asr_v7_pipeline", lang = "bn")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bangla_asr_v7_pipeline", lang = "bn")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bangla_asr_v7_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|bn|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/arif11/bangla-ASR-v7
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-base_english_combined_v4_2_0_1_8_1e_05_dulcet_sweep_34_en.md b/docs/_posts/ahmedlone127/2024-09-17-base_english_combined_v4_2_0_1_8_1e_05_dulcet_sweep_34_en.md
new file mode 100644
index 00000000000000..0e36264ebc3701
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-base_english_combined_v4_2_0_1_8_1e_05_dulcet_sweep_34_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English base_english_combined_v4_2_0_1_8_1e_05_dulcet_sweep_34 WhisperForCTC from saahith
+author: John Snow Labs
+name: base_english_combined_v4_2_0_1_8_1e_05_dulcet_sweep_34
+date: 2024-09-17
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`base_english_combined_v4_2_0_1_8_1e_05_dulcet_sweep_34` is a English model originally trained by saahith.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/base_english_combined_v4_2_0_1_8_1e_05_dulcet_sweep_34_en_5.5.0_3.0_1726549255277.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/base_english_combined_v4_2_0_1_8_1e_05_dulcet_sweep_34_en_5.5.0_3.0_1726549255277.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_ep_1_12_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_false_fh_false_hs_200|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/danielkty22/bert-base-uncased-ep-1.12-b-32-lr-8e-07-dp-0.5-ss-0-st-False-fh-False-hs-200
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-bert_base_uncased_ep_1_12_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_false_fh_false_hs_200_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-bert_base_uncased_ep_1_12_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_false_fh_false_hs_200_pipeline_en.md
new file mode 100644
index 00000000000000..b923cfc8fecd3c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-bert_base_uncased_ep_1_12_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_false_fh_false_hs_200_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English bert_base_uncased_ep_1_12_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_false_fh_false_hs_200_pipeline pipeline BertForQuestionAnswering from danielkty22
+author: John Snow Labs
+name: bert_base_uncased_ep_1_12_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_false_fh_false_hs_200_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`bert_base_uncased_ep_1_12_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_false_fh_false_hs_200_pipeline` is a English model originally trained by danielkty22.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ep_1_12_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_false_fh_false_hs_200_pipeline_en_5.5.0_3.0_1726532309863.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bert_base_uncased_ep_1_12_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_false_fh_false_hs_200_pipeline_en_5.5.0_3.0_1726532309863.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("bert_base_uncased_ep_1_12_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_false_fh_false_hs_200_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("bert_base_uncased_ep_1_12_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_false_fh_false_hs_200_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|bert_base_uncased_ep_1_12_b_32_lr_8e_07_dp_0_5_swati_0_southern_sotho_false_fh_false_hs_200_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/danielkty22/bert-base-uncased-ep-1.12-b-32-lr-8e-07-dp-0.5-ss-0-st-False-fh-False-hs-200
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-breeze_dsw_tiny_indonesian_id.md b/docs/_posts/ahmedlone127/2024-09-17-breeze_dsw_tiny_indonesian_id.md
new file mode 100644
index 00000000000000..829b07d5107a94
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-breeze_dsw_tiny_indonesian_id.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Indonesian breeze_dsw_tiny_indonesian WhisperForCTC from hanasim
+author: John Snow Labs
+name: breeze_dsw_tiny_indonesian
+date: 2024-09-17
+tags: [id, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: id
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`breeze_dsw_tiny_indonesian` is a Indonesian model originally trained by hanasim.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/breeze_dsw_tiny_indonesian_id_5.5.0_3.0_1726552102791.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/breeze_dsw_tiny_indonesian_id_5.5.0_3.0_1726552102791.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|breeze_dsw_tiny_indonesian|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|id|
+|Size:|242.6 MB|
+
+## References
+
+https://huggingface.co/hanasim/breeze-dsw-tiny-id
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-breeze_dsw_tiny_indonesian_pipeline_id.md b/docs/_posts/ahmedlone127/2024-09-17-breeze_dsw_tiny_indonesian_pipeline_id.md
new file mode 100644
index 00000000000000..ae9259943d047d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-breeze_dsw_tiny_indonesian_pipeline_id.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Indonesian breeze_dsw_tiny_indonesian_pipeline pipeline WhisperForCTC from hanasim
+author: John Snow Labs
+name: breeze_dsw_tiny_indonesian_pipeline
+date: 2024-09-17
+tags: [id, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: id
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`breeze_dsw_tiny_indonesian_pipeline` is a Indonesian model originally trained by hanasim.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/breeze_dsw_tiny_indonesian_pipeline_id_5.5.0_3.0_1726552171316.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/breeze_dsw_tiny_indonesian_pipeline_id_5.5.0_3.0_1726552171316.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("breeze_dsw_tiny_indonesian_pipeline", lang = "id")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("breeze_dsw_tiny_indonesian_pipeline", lang = "id")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|breeze_dsw_tiny_indonesian_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|id|
+|Size:|242.6 MB|
+
+## References
+
+https://huggingface.co/hanasim/breeze-dsw-tiny-id
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-bsc_bio_ehr_spanish_drugtemist_es.md b/docs/_posts/ahmedlone127/2024-09-17-bsc_bio_ehr_spanish_drugtemist_es.md
new file mode 100644
index 00000000000000..6e98c857e3c41a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-bsc_bio_ehr_spanish_drugtemist_es.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: Castilian, Spanish bsc_bio_ehr_spanish_drugtemist RoBertaForTokenClassification from BSC-NLP4BIA
+author: John Snow Labs
+name: bsc_bio_ehr_spanish_drugtemist
+date: 2024-09-17
+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_drugtemist` 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_drugtemist_es_5.5.0_3.0_1726537827029.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/bsc_bio_ehr_spanish_drugtemist_es_5.5.0_3.0_1726537827029.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_lash|
+|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/lash/my_awesome_qa_model
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-burmese_awesome_qa_model_lash_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-burmese_awesome_qa_model_lash_pipeline_en.md
new file mode 100644
index 00000000000000..d469b1617be93f
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-burmese_awesome_qa_model_lash_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_lash_pipeline pipeline DistilBertForQuestionAnswering from lash
+author: John Snow Labs
+name: burmese_awesome_qa_model_lash_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_lash_pipeline` is a English model originally trained by lash.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_lash_pipeline_en_5.5.0_3.0_1726555477794.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_lash_pipeline_en_5.5.0_3.0_1726555477794.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_lash_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_qa_model_lash_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_lash_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/lash/my_awesome_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-burmese_awesome_qa_model_nada_ghazouani_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-burmese_awesome_qa_model_nada_ghazouani_pipeline_en.md
new file mode 100644
index 00000000000000..667f5de9884d8c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-burmese_awesome_qa_model_nada_ghazouani_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_awesome_qa_model_nada_ghazouani_pipeline pipeline DistilBertForQuestionAnswering from nada-ghazouani
+author: John Snow Labs
+name: burmese_awesome_qa_model_nada_ghazouani_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_awesome_qa_model_nada_ghazouani_pipeline` is a English model originally trained by nada-ghazouani.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_nada_ghazouani_pipeline_en_5.5.0_3.0_1726555229384.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_awesome_qa_model_nada_ghazouani_pipeline_en_5.5.0_3.0_1726555229384.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_nada_ghazouani_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_awesome_qa_model_nada_ghazouani_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_awesome_qa_model_nada_ghazouani_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/nada-ghazouani/my_awesome_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-burmese_qa_model_yadah_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-burmese_qa_model_yadah_pipeline_en.md
new file mode 100644
index 00000000000000..b83b8e4509c2da
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-burmese_qa_model_yadah_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English burmese_qa_model_yadah_pipeline pipeline DistilBertForQuestionAnswering from Yadah
+author: John Snow Labs
+name: burmese_qa_model_yadah_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`burmese_qa_model_yadah_pipeline` is a English model originally trained by Yadah.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/burmese_qa_model_yadah_pipeline_en_5.5.0_3.0_1726555832656.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/burmese_qa_model_yadah_pipeline_en_5.5.0_3.0_1726555832656.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("burmese_qa_model_yadah_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("burmese_qa_model_yadah_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|burmese_qa_model_yadah_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/Yadah/my_qa_model
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-chinese_roberta_wwm_ext_2_0_8_ddp_en.md b/docs/_posts/ahmedlone127/2024-09-17-chinese_roberta_wwm_ext_2_0_8_ddp_en.md
new file mode 100644
index 00000000000000..02cc38c7614d9e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-chinese_roberta_wwm_ext_2_0_8_ddp_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English chinese_roberta_wwm_ext_2_0_8_ddp BertForQuestionAnswering from DaydreamerF
+author: John Snow Labs
+name: chinese_roberta_wwm_ext_2_0_8_ddp
+date: 2024-09-17
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`chinese_roberta_wwm_ext_2_0_8_ddp` is a English model originally trained by DaydreamerF.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/chinese_roberta_wwm_ext_2_0_8_ddp_en_5.5.0_3.0_1726544231697.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/chinese_roberta_wwm_ext_2_0_8_ddp_en_5.5.0_3.0_1726544231697.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|dataequity_opus_maltese_english_tagalog|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|496.7 MB|
+
+## References
+
+https://huggingface.co/dataequity/dataequity-opus-mt-en-tl
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-dipromats_subtask_1_base_train_en.md b/docs/_posts/ahmedlone127/2024-09-17-dipromats_subtask_1_base_train_en.md
new file mode 100644
index 00000000000000..7532f882cc5a1d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-dipromats_subtask_1_base_train_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English dipromats_subtask_1_base_train XlmRoBertaForSequenceClassification from franfj
+author: John Snow Labs
+name: dipromats_subtask_1_base_train
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`dipromats_subtask_1_base_train` is a English model originally trained by franfj.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/dipromats_subtask_1_base_train_en_5.5.0_3.0_1726536498631.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/dipromats_subtask_1_base_train_en_5.5.0_3.0_1726536498631.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_cased_distilled_squad_full_lora_merged|
+|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/JeukHwang/distilbert-base-cased-distilled-squad-full-lora-merged
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_squad_d5716d28_serhii_korobchenko_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_squad_d5716d28_serhii_korobchenko_pipeline_en.md
new file mode 100644
index 00000000000000..0255481cc810bd
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_squad_d5716d28_serhii_korobchenko_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_d5716d28_serhii_korobchenko_pipeline pipeline DistilBertForQuestionAnswering from serhii-korobchenko
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_d5716d28_serhii_korobchenko_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_d5716d28_serhii_korobchenko_pipeline` is a English model originally trained by serhii-korobchenko.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_d5716d28_serhii_korobchenko_pipeline_en_5.5.0_3.0_1726555589706.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_serhii_korobchenko_pipeline_en_5.5.0_3.0_1726555589706.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_serhii_korobchenko_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_d5716d28_serhii_korobchenko_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_d5716d28_serhii_korobchenko_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.3 MB|
+
+## References
+
+https://huggingface.co/serhii-korobchenko/distilbert-base-uncased-finetuned-squad-d5716d28
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_squad_hashemghanem_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_squad_hashemghanem_pipeline_en.md
new file mode 100644
index 00000000000000..03578e01c89065
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_finetuned_squad_hashemghanem_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_finetuned_squad_hashemghanem_pipeline pipeline DistilBertForQuestionAnswering from Hashemghanem
+author: John Snow Labs
+name: distilbert_base_uncased_finetuned_squad_hashemghanem_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_finetuned_squad_hashemghanem_pipeline` is a English model originally trained by Hashemghanem.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_hashemghanem_pipeline_en_5.5.0_3.0_1726555352165.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_finetuned_squad_hashemghanem_pipeline_en_5.5.0_3.0_1726555352165.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_hashemghanem_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_finetuned_squad_hashemghanem_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_finetuned_squad_hashemghanem_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/Hashemghanem/distilbert-base-uncased-finetuned-squad
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_squad2_p35_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_squad2_p35_pipeline_en.md
new file mode 100644
index 00000000000000..f1d7e14cc94ca6
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-distilbert_base_uncased_squad2_p35_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English distilbert_base_uncased_squad2_p35_pipeline pipeline DistilBertForQuestionAnswering from pminha
+author: John Snow Labs
+name: distilbert_base_uncased_squad2_p35_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`distilbert_base_uncased_squad2_p35_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_p35_pipeline_en_5.5.0_3.0_1726555414504.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/distilbert_base_uncased_squad2_p35_pipeline_en_5.5.0_3.0_1726555414504.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_p35_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("distilbert_base_uncased_squad2_p35_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|distilbert_base_uncased_squad2_p35_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|206.5 MB|
+
+## References
+
+https://huggingface.co/pminha/distilbert-base-uncased-squad2-p35
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-eng_med_en.md b/docs/_posts/ahmedlone127/2024-09-17-eng_med_en.md
new file mode 100644
index 00000000000000..c9858bb1440d72
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-eng_med_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English eng_med MarianTransformer from rickySaka
+author: John Snow Labs
+name: eng_med
+date: 2024-09-17
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`eng_med` is a English model originally trained by rickySaka.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/eng_med_en_5.5.0_3.0_1726533019659.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/eng_med_en_5.5.0_3.0_1726533019659.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|eng_med|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|530.3 MB|
+
+## References
+
+https://huggingface.co/rickySaka/eng-med
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-ep15_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-ep15_pipeline_en.md
new file mode 100644
index 00000000000000..e6efedd3ad4dde
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-ep15_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English ep15_pipeline pipeline WhisperForCTC from JoeTan
+author: John Snow Labs
+name: ep15_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`ep15_pipeline` is a English model originally trained by JoeTan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/ep15_pipeline_en_5.5.0_3.0_1726542171186.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/ep15_pipeline_en_5.5.0_3.0_1726542171186.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("ep15_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("ep15_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|ep15_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/JoeTan/Ep15
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-facebook_commet_classification_small_v2_en.md b/docs/_posts/ahmedlone127/2024-09-17-facebook_commet_classification_small_v2_en.md
new file mode 100644
index 00000000000000..bec9eab1f91368
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-facebook_commet_classification_small_v2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English facebook_commet_classification_small_v2 XlmRoBertaForSequenceClassification from DuongTrongChi
+author: John Snow Labs
+name: facebook_commet_classification_small_v2
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`facebook_commet_classification_small_v2` is a English model originally trained by DuongTrongChi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/facebook_commet_classification_small_v2_en_5.5.0_3.0_1726535963039.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/facebook_commet_classification_small_v2_en_5.5.0_3.0_1726535963039.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|facebook_commet_classification_small_v2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|365.9 MB|
+
+## References
+
+https://huggingface.co/DuongTrongChi/facebook-commet-classification-small-v2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-facebook_commet_classification_small_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-facebook_commet_classification_small_v2_pipeline_en.md
new file mode 100644
index 00000000000000..5dfbfbc2fc9e3d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-facebook_commet_classification_small_v2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English facebook_commet_classification_small_v2_pipeline pipeline XlmRoBertaForSequenceClassification from DuongTrongChi
+author: John Snow Labs
+name: facebook_commet_classification_small_v2_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`facebook_commet_classification_small_v2_pipeline` is a English model originally trained by DuongTrongChi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/facebook_commet_classification_small_v2_pipeline_en_5.5.0_3.0_1726535980337.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/facebook_commet_classification_small_v2_pipeline_en_5.5.0_3.0_1726535980337.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("facebook_commet_classification_small_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("facebook_commet_classification_small_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|facebook_commet_classification_small_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|365.9 MB|
+
+## References
+
+https://huggingface.co/DuongTrongChi/facebook-commet-classification-small-v2
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-finetuned_bert_model_squad_datset_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-finetuned_bert_model_squad_datset_pipeline_en.md
new file mode 100644
index 00000000000000..70489764c000f4
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-finetuned_bert_model_squad_datset_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English finetuned_bert_model_squad_datset_pipeline pipeline DistilBertForQuestionAnswering from AlyGreo
+author: John Snow Labs
+name: finetuned_bert_model_squad_datset_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained DistilBertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_bert_model_squad_datset_pipeline` is a English model originally trained by AlyGreo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_bert_model_squad_datset_pipeline_en_5.5.0_3.0_1726555344077.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_bert_model_squad_datset_pipeline_en_5.5.0_3.0_1726555344077.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuned_bert_model_squad_datset_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuned_bert_model_squad_datset_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_bert_model_squad_datset_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|247.2 MB|
+
+## References
+
+https://huggingface.co/AlyGreo/finetuned-bert-model-squad-datset
+
+## Included Models
+
+- MultiDocumentAssembler
+- DistilBertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-finetuned_iitp_pdt_review_additionalpretrained_xlm_roberta_base_en.md b/docs/_posts/ahmedlone127/2024-09-17-finetuned_iitp_pdt_review_additionalpretrained_xlm_roberta_base_en.md
new file mode 100644
index 00000000000000..fc81c5c821450e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-finetuned_iitp_pdt_review_additionalpretrained_xlm_roberta_base_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English finetuned_iitp_pdt_review_additionalpretrained_xlm_roberta_base XlmRoBertaForSequenceClassification from aditeyabaral
+author: John Snow Labs
+name: finetuned_iitp_pdt_review_additionalpretrained_xlm_roberta_base
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_iitp_pdt_review_additionalpretrained_xlm_roberta_base` is a English model originally trained by aditeyabaral.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_iitp_pdt_review_additionalpretrained_xlm_roberta_base_en_5.5.0_3.0_1726536087086.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_iitp_pdt_review_additionalpretrained_xlm_roberta_base_en_5.5.0_3.0_1726536087086.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_iitp_pdt_review_additionalpretrained_xlm_roberta_base|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|853.2 MB|
+
+## References
+
+https://huggingface.co/aditeyabaral/finetuned-iitp_pdt_review-additionalpretrained-xlm-roberta-base
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-finetuned_iitp_pdt_review_additionalpretrained_xlm_roberta_base_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-finetuned_iitp_pdt_review_additionalpretrained_xlm_roberta_base_pipeline_en.md
new file mode 100644
index 00000000000000..c872383c42f8b8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-finetuned_iitp_pdt_review_additionalpretrained_xlm_roberta_base_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English finetuned_iitp_pdt_review_additionalpretrained_xlm_roberta_base_pipeline pipeline XlmRoBertaForSequenceClassification from aditeyabaral
+author: John Snow Labs
+name: finetuned_iitp_pdt_review_additionalpretrained_xlm_roberta_base_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`finetuned_iitp_pdt_review_additionalpretrained_xlm_roberta_base_pipeline` is a English model originally trained by aditeyabaral.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/finetuned_iitp_pdt_review_additionalpretrained_xlm_roberta_base_pipeline_en_5.5.0_3.0_1726536147284.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/finetuned_iitp_pdt_review_additionalpretrained_xlm_roberta_base_pipeline_en_5.5.0_3.0_1726536147284.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("finetuned_iitp_pdt_review_additionalpretrained_xlm_roberta_base_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("finetuned_iitp_pdt_review_additionalpretrained_xlm_roberta_base_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|finetuned_iitp_pdt_review_additionalpretrained_xlm_roberta_base_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|853.2 MB|
+
+## References
+
+https://huggingface.co/aditeyabaral/finetuned-iitp_pdt_review-additionalpretrained-xlm-roberta-base
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-hate_hate_balance_random3_seed2_bernice_en.md b/docs/_posts/ahmedlone127/2024-09-17-hate_hate_balance_random3_seed2_bernice_en.md
new file mode 100644
index 00000000000000..822fd3ce618214
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-hate_hate_balance_random3_seed2_bernice_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English hate_hate_balance_random3_seed2_bernice XlmRoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: hate_hate_balance_random3_seed2_bernice
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_hate_balance_random3_seed2_bernice` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_hate_balance_random3_seed2_bernice_en_5.5.0_3.0_1726536372952.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_hate_balance_random3_seed2_bernice_en_5.5.0_3.0_1726536372952.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_hate_balance_random3_seed2_bernice|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|783.4 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/hate-hate_balance_random3_seed2-bernice
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-hate_hate_balance_random3_seed2_bernice_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-hate_hate_balance_random3_seed2_bernice_pipeline_en.md
new file mode 100644
index 00000000000000..23c36bf309c482
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-hate_hate_balance_random3_seed2_bernice_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English hate_hate_balance_random3_seed2_bernice_pipeline pipeline XlmRoBertaForSequenceClassification from tweettemposhift
+author: John Snow Labs
+name: hate_hate_balance_random3_seed2_bernice_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hate_hate_balance_random3_seed2_bernice_pipeline` is a English model originally trained by tweettemposhift.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hate_hate_balance_random3_seed2_bernice_pipeline_en_5.5.0_3.0_1726536522192.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hate_hate_balance_random3_seed2_bernice_pipeline_en_5.5.0_3.0_1726536522192.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hate_hate_balance_random3_seed2_bernice_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hate_hate_balance_random3_seed2_bernice_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hate_hate_balance_random3_seed2_bernice_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|783.4 MB|
+
+## References
+
+https://huggingface.co/tweettemposhift/hate-hate_balance_random3_seed2-bernice
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-hfa_poly_english_small_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-hfa_poly_english_small_pipeline_en.md
new file mode 100644
index 00000000000000..9fa2f268f0dc81
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-hfa_poly_english_small_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English hfa_poly_english_small_pipeline pipeline WhisperForCTC from kurianbenoy
+author: John Snow Labs
+name: hfa_poly_english_small_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`hfa_poly_english_small_pipeline` is a English model originally trained by kurianbenoy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/hfa_poly_english_small_pipeline_en_5.5.0_3.0_1726541977940.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/hfa_poly_english_small_pipeline_en_5.5.0_3.0_1726541977940.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("hfa_poly_english_small_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("hfa_poly_english_small_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|hfa_poly_english_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/kurianbenoy/hfa-poly_english_small
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-kkkh_whisper_small_distillation_att_loss_libri360_epochs_100_batch_4_concat_dataset_try2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-kkkh_whisper_small_distillation_att_loss_libri360_epochs_100_batch_4_concat_dataset_try2_pipeline_en.md
new file mode 100644
index 00000000000000..755f2203789760
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-kkkh_whisper_small_distillation_att_loss_libri360_epochs_100_batch_4_concat_dataset_try2_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English kkkh_whisper_small_distillation_att_loss_libri360_epochs_100_batch_4_concat_dataset_try2_pipeline pipeline WhisperForCTC from rohitp1
+author: John Snow Labs
+name: kkkh_whisper_small_distillation_att_loss_libri360_epochs_100_batch_4_concat_dataset_try2_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`kkkh_whisper_small_distillation_att_loss_libri360_epochs_100_batch_4_concat_dataset_try2_pipeline` is a English model originally trained by rohitp1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/kkkh_whisper_small_distillation_att_loss_libri360_epochs_100_batch_4_concat_dataset_try2_pipeline_en_5.5.0_3.0_1726539886078.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/kkkh_whisper_small_distillation_att_loss_libri360_epochs_100_batch_4_concat_dataset_try2_pipeline_en_5.5.0_3.0_1726539886078.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("kkkh_whisper_small_distillation_att_loss_libri360_epochs_100_batch_4_concat_dataset_try2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("kkkh_whisper_small_distillation_att_loss_libri360_epochs_100_batch_4_concat_dataset_try2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|kkkh_whisper_small_distillation_att_loss_libri360_epochs_100_batch_4_concat_dataset_try2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/rohitp1/kkkh_whisper_small_distillation_att_loss_libri360_epochs_100_batch_4_concat_dataset_try2
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-malasar_luke_dict_nan.md b/docs/_posts/ahmedlone127/2024-09-17-malasar_luke_dict_nan.md
new file mode 100644
index 00000000000000..d91ef8ed1c36ad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-malasar_luke_dict_nan.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: None malasar_luke_dict WhisperForCTC from leenag
+author: John Snow Labs
+name: malasar_luke_dict
+date: 2024-09-17
+tags: [nan, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: nan
+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.`malasar_luke_dict` is a None model originally trained by leenag.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/malasar_luke_dict_nan_5.5.0_3.0_1726550728182.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/malasar_luke_dict_nan_5.5.0_3.0_1726550728182.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|malasar_luke_dict|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|nan|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/leenag/Malasar_Luke_Dict
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-maltese_english_vietnamese_hieundx_en.md b/docs/_posts/ahmedlone127/2024-09-17-maltese_english_vietnamese_hieundx_en.md
new file mode 100644
index 00000000000000..daf9eb1daa6c4e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-maltese_english_vietnamese_hieundx_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English maltese_english_vietnamese_hieundx MarianTransformer from hieundx
+author: John Snow Labs
+name: maltese_english_vietnamese_hieundx
+date: 2024-09-17
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`maltese_english_vietnamese_hieundx` is a English model originally trained by hieundx.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/maltese_english_vietnamese_hieundx_en_5.5.0_3.0_1726533302526.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/maltese_english_vietnamese_hieundx_en_5.5.0_3.0_1726533302526.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|maltese_english_vietnamese_hieundx|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|474.6 MB|
+
+## References
+
+https://huggingface.co/hieundx/mt-en-vi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-maltese_english_vietnamese_hieundx_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-maltese_english_vietnamese_hieundx_pipeline_en.md
new file mode 100644
index 00000000000000..e8f43160d8444b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-maltese_english_vietnamese_hieundx_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English maltese_english_vietnamese_hieundx_pipeline pipeline MarianTransformer from hieundx
+author: John Snow Labs
+name: maltese_english_vietnamese_hieundx_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`maltese_english_vietnamese_hieundx_pipeline` is a English model originally trained by hieundx.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/maltese_english_vietnamese_hieundx_pipeline_en_5.5.0_3.0_1726533325368.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/maltese_english_vietnamese_hieundx_pipeline_en_5.5.0_3.0_1726533325368.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("maltese_english_vietnamese_hieundx_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("maltese_english_vietnamese_hieundx_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|maltese_english_vietnamese_hieundx_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|475.2 MB|
+
+## References
+
+https://huggingface.co/hieundx/mt-en-vi
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-malwhisper_v1_small_ml.md b/docs/_posts/ahmedlone127/2024-09-17-malwhisper_v1_small_ml.md
new file mode 100644
index 00000000000000..d6d511c077bd2b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-malwhisper_v1_small_ml.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Malayalam malwhisper_v1_small WhisperForCTC from smcproject
+author: John Snow Labs
+name: malwhisper_v1_small
+date: 2024-09-17
+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.`malwhisper_v1_small` is a Malayalam model originally trained by smcproject.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/malwhisper_v1_small_ml_5.5.0_3.0_1726542348439.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/malwhisper_v1_small_ml_5.5.0_3.0_1726542348439.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|malwhisper_v1_small|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|ml|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/smcproject/Malwhisper-v1-small
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-marian_finetuned_kde4_english_tonga_tonga_islands_french_spasis_en.md b/docs/_posts/ahmedlone127/2024-09-17-marian_finetuned_kde4_english_tonga_tonga_islands_french_spasis_en.md
new file mode 100644
index 00000000000000..e9f41354402659
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-marian_finetuned_kde4_english_tonga_tonga_islands_french_spasis_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_spasis MarianTransformer from spasis
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_spasis
+date: 2024-09-17
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_tonga_tonga_islands_french_spasis` is a English model originally trained by spasis.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_spasis_en_5.5.0_3.0_1726533128081.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_spasis_en_5.5.0_3.0_1726533128081.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_spasis|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[sentences]|
+|Output Labels:|[translation]|
+|Language:|en|
+|Size:|508.3 MB|
+
+## References
+
+https://huggingface.co/spasis/marian-finetuned-kde4-en-to-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-marian_finetuned_kde4_english_tonga_tonga_islands_french_spasis_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-marian_finetuned_kde4_english_tonga_tonga_islands_french_spasis_pipeline_en.md
new file mode 100644
index 00000000000000..42864822a84e0b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-marian_finetuned_kde4_english_tonga_tonga_islands_french_spasis_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English marian_finetuned_kde4_english_tonga_tonga_islands_french_spasis_pipeline pipeline MarianTransformer from spasis
+author: John Snow Labs
+name: marian_finetuned_kde4_english_tonga_tonga_islands_french_spasis_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`marian_finetuned_kde4_english_tonga_tonga_islands_french_spasis_pipeline` is a English model originally trained by spasis.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/marian_finetuned_kde4_english_tonga_tonga_islands_french_spasis_pipeline_en_5.5.0_3.0_1726533153022.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_spasis_pipeline_en_5.5.0_3.0_1726533153022.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_spasis_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("marian_finetuned_kde4_english_tonga_tonga_islands_french_spasis_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|marian_finetuned_kde4_english_tonga_tonga_islands_french_spasis_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|508.9 MB|
+
+## References
+
+https://huggingface.co/spasis/marian-finetuned-kde4-en-to-fr
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-metaqa_en.md b/docs/_posts/ahmedlone127/2024-09-17-metaqa_en.md
new file mode 100644
index 00000000000000..acf8f7bf6df4ad
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-metaqa_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English metaqa BertForQuestionAnswering from haritzpuerto
+author: John Snow Labs
+name: metaqa
+date: 2024-09-17
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`metaqa` is a English model originally trained by haritzpuerto.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/metaqa_en_5.5.0_3.0_1726554157828.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/metaqa_en_5.5.0_3.0_1726554157828.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|metaqa|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/haritzpuerto/MetaQA
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-metaqa_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-metaqa_pipeline_en.md
new file mode 100644
index 00000000000000..144a54416ab3ae
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-metaqa_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English metaqa_pipeline pipeline BertForQuestionAnswering from haritzpuerto
+author: John Snow Labs
+name: metaqa_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`metaqa_pipeline` is a English model originally trained by haritzpuerto.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/metaqa_pipeline_en_5.5.0_3.0_1726554177604.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/metaqa_pipeline_en_5.5.0_3.0_1726554177604.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("metaqa_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("metaqa_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|metaqa_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/haritzpuerto/MetaQA
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-opus_maltese_english_french_finetuned_dyu_tonga_tonga_islands_french_en.md b/docs/_posts/ahmedlone127/2024-09-17-opus_maltese_english_french_finetuned_dyu_tonga_tonga_islands_french_en.md
new file mode 100644
index 00000000000000..9b525d23fad4c9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-opus_maltese_english_french_finetuned_dyu_tonga_tonga_islands_french_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English opus_maltese_english_french_finetuned_dyu_tonga_tonga_islands_french MarianTransformer from wuuthraad
+author: John Snow Labs
+name: opus_maltese_english_french_finetuned_dyu_tonga_tonga_islands_french
+date: 2024-09-17
+tags: [en, open_source, onnx, translation, marian]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: MarianTransformer
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_french_finetuned_dyu_tonga_tonga_islands_french` is a English model originally trained by wuuthraad.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_french_finetuned_dyu_tonga_tonga_islands_french_en_5.5.0_3.0_1726532962280.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_french_finetuned_dyu_tonga_tonga_islands_french_en_5.5.0_3.0_1726532962280.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_french_finetuned_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/wuuthraad/opus-mt-en-fr-finetuned-dyu-to-fr
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_ani_baghdasaryan_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_ani_baghdasaryan_pipeline_en.md
new file mode 100644
index 00000000000000..533e67310cf33d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_ani_baghdasaryan_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_ani_baghdasaryan_pipeline pipeline MarianTransformer from ani-baghdasaryan
+author: John Snow Labs
+name: opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_ani_baghdasaryan_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_ani_baghdasaryan_pipeline` is a English model originally trained by ani-baghdasaryan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_ani_baghdasaryan_pipeline_en_5.5.0_3.0_1726533199728.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_ani_baghdasaryan_pipeline_en_5.5.0_3.0_1726533199728.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_ani_baghdasaryan_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_ani_baghdasaryan_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_romanian_finetuned_english_tonga_tonga_islands_romanian_ani_baghdasaryan_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|509.2 MB|
+
+## References
+
+https://huggingface.co/ani-baghdasaryan/opus-mt-en-ro-finetuned-en-to-ro
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-opus_maltese_english_vietnamese_finetuned_english_tonga_tonga_islands_vietnamese_thanhnguyenvn_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-opus_maltese_english_vietnamese_finetuned_english_tonga_tonga_islands_vietnamese_thanhnguyenvn_pipeline_en.md
new file mode 100644
index 00000000000000..39eee997eb80f5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-opus_maltese_english_vietnamese_finetuned_english_tonga_tonga_islands_vietnamese_thanhnguyenvn_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_english_vietnamese_finetuned_english_tonga_tonga_islands_vietnamese_thanhnguyenvn_pipeline pipeline MarianTransformer from thanhnguyenvn
+author: John Snow Labs
+name: opus_maltese_english_vietnamese_finetuned_english_tonga_tonga_islands_vietnamese_thanhnguyenvn_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_english_vietnamese_finetuned_english_tonga_tonga_islands_vietnamese_thanhnguyenvn_pipeline` is a English model originally trained by thanhnguyenvn.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_english_vietnamese_finetuned_english_tonga_tonga_islands_vietnamese_thanhnguyenvn_pipeline_en_5.5.0_3.0_1726533073145.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_english_vietnamese_finetuned_english_tonga_tonga_islands_vietnamese_thanhnguyenvn_pipeline_en_5.5.0_3.0_1726533073145.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_english_tonga_tonga_islands_vietnamese_thanhnguyenvn_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_english_vietnamese_finetuned_english_tonga_tonga_islands_vietnamese_thanhnguyenvn_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_english_vietnamese_finetuned_english_tonga_tonga_islands_vietnamese_thanhnguyenvn_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|475.1 MB|
+
+## References
+
+https://huggingface.co/thanhnguyenvn/opus-mt-en-vi-finetuned-en-to-vi
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-opus_maltese_ft_2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-opus_maltese_ft_2_pipeline_en.md
new file mode 100644
index 00000000000000..da0e8c1d43b2f1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-opus_maltese_ft_2_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English opus_maltese_ft_2_pipeline pipeline MarianTransformer from abdiharyadi
+author: John Snow Labs
+name: opus_maltese_ft_2_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Translation
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained MarianTransformer, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`opus_maltese_ft_2_pipeline` is a English model originally trained by abdiharyadi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/opus_maltese_ft_2_pipeline_en_5.5.0_3.0_1726533034917.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/opus_maltese_ft_2_pipeline_en_5.5.0_3.0_1726533034917.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("opus_maltese_ft_2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("opus_maltese_ft_2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|opus_maltese_ft_2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|482.7 MB|
+
+## References
+
+https://huggingface.co/abdiharyadi/opus-mt-ft-2
+
+## Included Models
+
+- DocumentAssembler
+- SentenceDetectorDLModel
+- MarianTransformer
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-predict_perception_xlmr_cause_object_en.md b/docs/_posts/ahmedlone127/2024-09-17-predict_perception_xlmr_cause_object_en.md
new file mode 100644
index 00000000000000..313d6dae5ffbc9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-predict_perception_xlmr_cause_object_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English predict_perception_xlmr_cause_object XlmRoBertaForSequenceClassification from responsibility-framing
+author: John Snow Labs
+name: predict_perception_xlmr_cause_object
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`predict_perception_xlmr_cause_object` is a English model originally trained by responsibility-framing.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/predict_perception_xlmr_cause_object_en_5.5.0_3.0_1726535278465.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/predict_perception_xlmr_cause_object_en_5.5.0_3.0_1726535278465.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|predict_perception_xlmr_cause_object|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|837.6 MB|
+
+## References
+
+https://huggingface.co/responsibility-framing/predict-perception-xlmr-cause-object
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-predict_perception_xlmr_cause_object_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-predict_perception_xlmr_cause_object_pipeline_en.md
new file mode 100644
index 00000000000000..c1167bf77102f1
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-predict_perception_xlmr_cause_object_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English predict_perception_xlmr_cause_object_pipeline pipeline XlmRoBertaForSequenceClassification from responsibility-framing
+author: John Snow Labs
+name: predict_perception_xlmr_cause_object_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`predict_perception_xlmr_cause_object_pipeline` is a English model originally trained by responsibility-framing.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/predict_perception_xlmr_cause_object_pipeline_en_5.5.0_3.0_1726535348235.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/predict_perception_xlmr_cause_object_pipeline_en_5.5.0_3.0_1726535348235.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("predict_perception_xlmr_cause_object_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("predict_perception_xlmr_cause_object_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|predict_perception_xlmr_cause_object_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|837.6 MB|
+
+## References
+
+https://huggingface.co/responsibility-framing/predict-perception-xlmr-cause-object
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-protein_custom_model_veresnoemi_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-protein_custom_model_veresnoemi_pipeline_en.md
new file mode 100644
index 00000000000000..3588aa8b48ba03
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-protein_custom_model_veresnoemi_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English protein_custom_model_veresnoemi_pipeline pipeline XlmRoBertaForSequenceClassification from veresnoemi
+author: John Snow Labs
+name: protein_custom_model_veresnoemi_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`protein_custom_model_veresnoemi_pipeline` is a English model originally trained by veresnoemi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/protein_custom_model_veresnoemi_pipeline_en_5.5.0_3.0_1726536736840.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/protein_custom_model_veresnoemi_pipeline_en_5.5.0_3.0_1726536736840.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("protein_custom_model_veresnoemi_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("protein_custom_model_veresnoemi_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|protein_custom_model_veresnoemi_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|818.6 MB|
+
+## References
+
+https://huggingface.co/veresnoemi/protein_custom_model
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-roberta_base_biomedical_clinical_spanish_finetuned_ner_craft_augmentedtransfer_spanish_finetuned_ner_en.md b/docs/_posts/ahmedlone127/2024-09-17-roberta_base_biomedical_clinical_spanish_finetuned_ner_craft_augmentedtransfer_spanish_finetuned_ner_en.md
new file mode 100644
index 00000000000000..f9e718db694a9d
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-roberta_base_biomedical_clinical_spanish_finetuned_ner_craft_augmentedtransfer_spanish_finetuned_ner_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_biomedical_clinical_spanish_finetuned_ner_craft_augmentedtransfer_spanish_finetuned_ner RoBertaForTokenClassification from jaggernaut007
+author: John Snow Labs
+name: roberta_base_biomedical_clinical_spanish_finetuned_ner_craft_augmentedtransfer_spanish_finetuned_ner
+date: 2024-09-17
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_biomedical_clinical_spanish_finetuned_ner_craft_augmentedtransfer_spanish_finetuned_ner` is a English model originally trained by jaggernaut007.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_biomedical_clinical_spanish_finetuned_ner_craft_augmentedtransfer_spanish_finetuned_ner_en_5.5.0_3.0_1726537495239.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_biomedical_clinical_spanish_finetuned_ner_craft_augmentedtransfer_spanish_finetuned_ner_en_5.5.0_3.0_1726537495239.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_base_biomedical_clinical_spanish_finetuned_ner_craft_augmentedtransfer_spanish_finetuned_ner|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|450.1 MB|
+
+## References
+
+https://huggingface.co/jaggernaut007/roberta-base-biomedical-clinical-es-finetuned-ner-CRAFT_AugmentedTransfer_ES-finetuned-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-roberta_base_finetuned_ner_sathyajothi_en.md b/docs/_posts/ahmedlone127/2024-09-17-roberta_base_finetuned_ner_sathyajothi_en.md
new file mode 100644
index 00000000000000..e2141ef1acfa52
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-roberta_base_finetuned_ner_sathyajothi_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_base_finetuned_ner_sathyajothi RoBertaForTokenClassification from sathyajothi
+author: John Snow Labs
+name: roberta_base_finetuned_ner_sathyajothi
+date: 2024-09-17
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_base_finetuned_ner_sathyajothi` is a English model originally trained by sathyajothi.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_ner_sathyajothi_en_5.5.0_3.0_1726537828718.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_base_finetuned_ner_sathyajothi_en_5.5.0_3.0_1726537828718.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_fine_tune_german_ner|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|de|
+|Size:|433.3 MB|
+
+## References
+
+https://huggingface.co/MAbokahf/roberta-fine-tune-de-ner
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-roberta_fine_tune_german_ner_pipeline_de.md b/docs/_posts/ahmedlone127/2024-09-17-roberta_fine_tune_german_ner_pipeline_de.md
new file mode 100644
index 00000000000000..adec55e2f05dea
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-roberta_fine_tune_german_ner_pipeline_de.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: German roberta_fine_tune_german_ner_pipeline pipeline RoBertaForTokenClassification from MAbokahf
+author: John Snow Labs
+name: roberta_fine_tune_german_ner_pipeline
+date: 2024-09-17
+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 RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_fine_tune_german_ner_pipeline` is a German model originally trained by MAbokahf.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_fine_tune_german_ner_pipeline_de_5.5.0_3.0_1726537699453.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_fine_tune_german_ner_pipeline_de_5.5.0_3.0_1726537699453.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_fine_tune_german_ner_pipeline", lang = "de")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_fine_tune_german_ner_pipeline", lang = "de")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_fine_tune_german_ner_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|de|
+|Size:|433.3 MB|
+
+## References
+
+https://huggingface.co/MAbokahf/roberta-fine-tune-de-ner
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-roberta_large_metaie_super_academia_gpt4o_en.md b/docs/_posts/ahmedlone127/2024-09-17-roberta_large_metaie_super_academia_gpt4o_en.md
new file mode 100644
index 00000000000000..4be04280a57749
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-roberta_large_metaie_super_academia_gpt4o_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English roberta_large_metaie_super_academia_gpt4o RoBertaForTokenClassification from KomeijiForce
+author: John Snow Labs
+name: roberta_large_metaie_super_academia_gpt4o
+date: 2024-09-17
+tags: [en, open_source, onnx, token_classification, roberta, ner]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: RoBertaForTokenClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_metaie_super_academia_gpt4o` is a English model originally trained by KomeijiForce.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_metaie_super_academia_gpt4o_en_5.5.0_3.0_1726537953075.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_metaie_super_academia_gpt4o_en_5.5.0_3.0_1726537953075.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_metaie_super_academia_gpt4o|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[ner]|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/KomeijiForce/roberta-large-metaie-super-academia-gpt4o
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-roberta_large_metaie_super_academia_gpt4o_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-roberta_large_metaie_super_academia_gpt4o_pipeline_en.md
new file mode 100644
index 00000000000000..d47ea0bcc7e567
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-roberta_large_metaie_super_academia_gpt4o_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English roberta_large_metaie_super_academia_gpt4o_pipeline pipeline RoBertaForTokenClassification from KomeijiForce
+author: John Snow Labs
+name: roberta_large_metaie_super_academia_gpt4o_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_large_metaie_super_academia_gpt4o_pipeline` is a English model originally trained by KomeijiForce.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_large_metaie_super_academia_gpt4o_pipeline_en_5.5.0_3.0_1726538025011.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_large_metaie_super_academia_gpt4o_pipeline_en_5.5.0_3.0_1726538025011.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_large_metaie_super_academia_gpt4o_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_large_metaie_super_academia_gpt4o_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_large_metaie_super_academia_gpt4o_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.3 GB|
+
+## References
+
+https://huggingface.co/KomeijiForce/roberta-large-metaie-super-academia-gpt4o
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-roberta_tagalog_base_ft_udpos213_serbian_pipeline_tl.md b/docs/_posts/ahmedlone127/2024-09-17-roberta_tagalog_base_ft_udpos213_serbian_pipeline_tl.md
new file mode 100644
index 00000000000000..7b54250fd1a165
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-roberta_tagalog_base_ft_udpos213_serbian_pipeline_tl.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: Tagalog roberta_tagalog_base_ft_udpos213_serbian_pipeline pipeline RoBertaForTokenClassification from iceman2434
+author: John Snow Labs
+name: roberta_tagalog_base_ft_udpos213_serbian_pipeline
+date: 2024-09-17
+tags: [tl, open_source, pipeline, onnx]
+task: Named Entity Recognition
+language: tl
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained RoBertaForTokenClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`roberta_tagalog_base_ft_udpos213_serbian_pipeline` is a Tagalog model originally trained by iceman2434.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/roberta_tagalog_base_ft_udpos213_serbian_pipeline_tl_5.5.0_3.0_1726537755379.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/roberta_tagalog_base_ft_udpos213_serbian_pipeline_tl_5.5.0_3.0_1726537755379.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("roberta_tagalog_base_ft_udpos213_serbian_pipeline", lang = "tl")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("roberta_tagalog_base_ft_udpos213_serbian_pipeline", lang = "tl")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|roberta_tagalog_base_ft_udpos213_serbian_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|tl|
+|Size:|407.2 MB|
+
+## References
+
+https://huggingface.co/iceman2434/roberta-tagalog-base-ft-udpos213-sr
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- RoBertaForTokenClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1_betta_jason_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1_betta_jason_pipeline_en.md
new file mode 100644
index 00000000000000..38b0b15c96946c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1_betta_jason_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1_betta_jason_pipeline pipeline XlmRoBertaForSequenceClassification from haryoaw
+author: John Snow Labs
+name: scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1_betta_jason_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1_betta_jason_pipeline` is a English model originally trained by haryoaw.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1_betta_jason_pipeline_en_5.5.0_3.0_1726536284906.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1_betta_jason_pipeline_en_5.5.0_3.0_1726536284906.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1_betta_jason_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1_betta_jason_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|scenario_non_kd_scr_d2_data_amazonscience_massive_all_1_1_betta_jason_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|884.2 MB|
+
+## References
+
+https://huggingface.co/haryoaw/scenario-NON-KD-SCR-D2_data-AmazonScience_massive_all_1_1_betta-jason
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-tiny_english_uva_chunked_with_synthetic_v2_4_1e_05_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-tiny_english_uva_chunked_with_synthetic_v2_4_1e_05_pipeline_en.md
new file mode 100644
index 00000000000000..3f8a423ff66715
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-tiny_english_uva_chunked_with_synthetic_v2_4_1e_05_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English tiny_english_uva_chunked_with_synthetic_v2_4_1e_05_pipeline pipeline WhisperForCTC from saahith
+author: John Snow Labs
+name: tiny_english_uva_chunked_with_synthetic_v2_4_1e_05_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tiny_english_uva_chunked_with_synthetic_v2_4_1e_05_pipeline` is a English model originally trained by saahith.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tiny_english_uva_chunked_with_synthetic_v2_4_1e_05_pipeline_en_5.5.0_3.0_1726550825540.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tiny_english_uva_chunked_with_synthetic_v2_4_1e_05_pipeline_en_5.5.0_3.0_1726550825540.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tiny_english_uva_chunked_with_synthetic_v2_4_1e_05_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tiny_english_uva_chunked_with_synthetic_v2_4_1e_05_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tiny_english_uva_chunked_with_synthetic_v2_4_1e_05_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|394.9 MB|
+
+## References
+
+https://huggingface.co/saahith/tiny.en-uva_chunked_with_synthetic_v2-4-1e-05
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-tinymax_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-tinymax_pipeline_en.md
new file mode 100644
index 00000000000000..ec335e91631ab8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-tinymax_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English tinymax_pipeline pipeline WhisperForCTC from tabsadem
+author: John Snow Labs
+name: tinymax_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`tinymax_pipeline` is a English model originally trained by tabsadem.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/tinymax_pipeline_en_5.5.0_3.0_1726549990687.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/tinymax_pipeline_en_5.5.0_3.0_1726549990687.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("tinymax_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("tinymax_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|tinymax_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|392.1 MB|
+
+## References
+
+https://huggingface.co/tabsadem/tinyMAX
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper4_en.md b/docs/_posts/ahmedlone127/2024-09-17-whisper4_en.md
new file mode 100644
index 00000000000000..a1b52d6601f8c7
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper4_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper4 WhisperForCTC from khaingsmon
+author: John Snow Labs
+name: whisper4
+date: 2024-09-17
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper4` is a English model originally trained by khaingsmon.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper4_en_5.5.0_3.0_1726546092064.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper4_en_5.5.0_3.0_1726546092064.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_base_chuvash_highlr_czech|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|cs|
+|Size:|642.5 MB|
+
+## References
+
+https://huggingface.co/sgangireddy/whisper-base-cv-highLR-cs
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_base_full_data_aug_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_base_full_data_aug_v1_pipeline_en.md
new file mode 100644
index 00000000000000..854b994090ce84
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_base_full_data_aug_v1_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_base_full_data_aug_v1_pipeline pipeline WhisperForCTC from thanhduycao
+author: John Snow Labs
+name: whisper_base_full_data_aug_v1_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_base_full_data_aug_v1_pipeline` is a English model originally trained by thanhduycao.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_base_full_data_aug_v1_pipeline_en_5.5.0_3.0_1726538981316.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_base_full_data_aug_v1_pipeline_en_5.5.0_3.0_1726538981316.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_base_full_data_aug_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_base_full_data_aug_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_base_full_data_aug_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|642.6 MB|
+
+## References
+
+https://huggingface.co/thanhduycao/whisper-base-full-data-aug-v1
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_base_portuguese_zuazo_pipeline_pt.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_base_portuguese_zuazo_pipeline_pt.md
new file mode 100644
index 00000000000000..4a9eea9113b0cf
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_base_portuguese_zuazo_pipeline_pt.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Portuguese whisper_base_portuguese_zuazo_pipeline pipeline WhisperForCTC from zuazo
+author: John Snow Labs
+name: whisper_base_portuguese_zuazo_pipeline
+date: 2024-09-17
+tags: [pt, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: pt
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_base_portuguese_zuazo_pipeline` is a Portuguese model originally trained by zuazo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_base_portuguese_zuazo_pipeline_pt_5.5.0_3.0_1726541285731.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_base_portuguese_zuazo_pipeline_pt_5.5.0_3.0_1726541285731.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_base_portuguese_zuazo_pipeline", lang = "pt")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_base_portuguese_zuazo_pipeline", lang = "pt")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_base_portuguese_zuazo_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|pt|
+|Size:|642.3 MB|
+
+## References
+
+https://huggingface.co/zuazo/whisper-base-pt
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_base_portuguese_zuazo_pt.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_base_portuguese_zuazo_pt.md
new file mode 100644
index 00000000000000..12253309630283
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_base_portuguese_zuazo_pt.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Portuguese whisper_base_portuguese_zuazo WhisperForCTC from zuazo
+author: John Snow Labs
+name: whisper_base_portuguese_zuazo
+date: 2024-09-17
+tags: [pt, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: pt
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_base_portuguese_zuazo` is a Portuguese model originally trained by zuazo.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_base_portuguese_zuazo_pt_5.5.0_3.0_1726541244845.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_base_portuguese_zuazo_pt_5.5.0_3.0_1726541244845.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_custom300_1e_5_va2000|
+|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/racheltong/whisper-small-custom300-1e-5-va2000
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_small_custom300_1e_5_va2000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_custom300_1e_5_va2000_pipeline_en.md
new file mode 100644
index 00000000000000..0cfdaf6f61fec5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_custom300_1e_5_va2000_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_custom300_1e_5_va2000_pipeline pipeline WhisperForCTC from racheltong
+author: John Snow Labs
+name: whisper_small_custom300_1e_5_va2000_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_custom300_1e_5_va2000_pipeline` is a English model originally trained by racheltong.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_custom300_1e_5_va2000_pipeline_en_5.5.0_3.0_1726540980409.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_custom300_1e_5_va2000_pipeline_en_5.5.0_3.0_1726540980409.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_custom300_1e_5_va2000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_custom300_1e_5_va2000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_custom300_1e_5_va2000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/racheltong/whisper-small-custom300-1e-5-va2000
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_small_divehi_agercas_dv.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_divehi_agercas_dv.md
new file mode 100644
index 00000000000000..3641763af1324b
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_divehi_agercas_dv.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Dhivehi, Divehi, Maldivian whisper_small_divehi_agercas WhisperForCTC from agercas
+author: John Snow Labs
+name: whisper_small_divehi_agercas
+date: 2024-09-17
+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_agercas` is a Dhivehi, Divehi, Maldivian model originally trained by agercas.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_divehi_agercas_dv_5.5.0_3.0_1726552940128.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_divehi_agercas_dv_5.5.0_3.0_1726552940128.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_mukund017|
+|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/Mukund017/whisper-small-hi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_small_hindi_mukund017_pipeline_hi.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_hindi_mukund017_pipeline_hi.md
new file mode 100644
index 00000000000000..30a66f20e8cdba
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_hindi_mukund017_pipeline_hi.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Hindi whisper_small_hindi_mukund017_pipeline pipeline WhisperForCTC from Mukund017
+author: John Snow Labs
+name: whisper_small_hindi_mukund017_pipeline
+date: 2024-09-17
+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_mukund017_pipeline` is a Hindi model originally trained by Mukund017.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_mukund017_pipeline_hi_5.5.0_3.0_1726547704957.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_hindi_mukund017_pipeline_hi_5.5.0_3.0_1726547704957.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_hindi_mukund017_pipeline", lang = "hi")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_hindi_mukund017_pipeline", lang = "hi")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_hindi_mukund017_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|hi|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Mukund017/whisper-small-hi
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_small_hungarian_gyikesz_pipeline_hu.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_hungarian_gyikesz_pipeline_hu.md
new file mode 100644
index 00000000000000..aa6f2edbd151cb
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_hungarian_gyikesz_pipeline_hu.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Hungarian whisper_small_hungarian_gyikesz_pipeline pipeline WhisperForCTC from gyikesz
+author: John Snow Labs
+name: whisper_small_hungarian_gyikesz_pipeline
+date: 2024-09-17
+tags: [hu, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: hu
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_hungarian_gyikesz_pipeline` is a Hungarian model originally trained by gyikesz.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_hungarian_gyikesz_pipeline_hu_5.5.0_3.0_1726551434884.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_hungarian_gyikesz_pipeline_hu_5.5.0_3.0_1726551434884.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_hungarian_gyikesz_pipeline", lang = "hu")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_hungarian_gyikesz_pipeline", lang = "hu")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_hungarian_gyikesz_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|hu|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/gyikesz/whisper-small-hu
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_small_korean_yspeed_hi.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_korean_yspeed_hi.md
new file mode 100644
index 00000000000000..0d86fddbe252a8
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_korean_yspeed_hi.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Hindi whisper_small_korean_yspeed WhisperForCTC from Gummybear05
+author: John Snow Labs
+name: whisper_small_korean_yspeed
+date: 2024-09-17
+tags: [hi, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: hi
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_korean_yspeed` is a Hindi model originally trained by Gummybear05.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_korean_yspeed_hi_5.5.0_3.0_1726546997751.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_korean_yspeed_hi_5.5.0_3.0_1726546997751.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_marathi_steja|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|mr|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/steja/whisper-small-marathi
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_small_ndonga_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_ndonga_pipeline_en.md
new file mode 100644
index 00000000000000..26e4644426380c
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_ndonga_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_ndonga_pipeline pipeline WhisperForCTC from deedax
+author: John Snow Labs
+name: whisper_small_ndonga_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_ndonga_pipeline` is a English model originally trained by deedax.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_ndonga_pipeline_en_5.5.0_3.0_1726542272156.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_ndonga_pipeline_en_5.5.0_3.0_1726542272156.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_ndonga_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_ndonga_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_ndonga_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/deedax/whisper-small-ng
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_small_ne2_1_en.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_ne2_1_en.md
new file mode 100644
index 00000000000000..1da5d6029015ab
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_ne2_1_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_small_ne2_1 WhisperForCTC from SonishMaharjan
+author: John Snow Labs
+name: whisper_small_ne2_1
+date: 2024-09-17
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_ne2_1` is a English model originally trained by SonishMaharjan.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_ne2_1_en_5.5.0_3.0_1726549632086.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_ne2_1_en_5.5.0_3.0_1726549632086.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_train_v2_1|
+|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/xbilek25/whisper-small-train-v2.1
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_small_train_v2_1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_train_v2_1_pipeline_en.md
new file mode 100644
index 00000000000000..fe3c29f589c7d5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_train_v2_1_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_train_v2_1_pipeline pipeline WhisperForCTC from xbilek25
+author: John Snow Labs
+name: whisper_small_train_v2_1_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_train_v2_1_pipeline` is a English model originally trained by xbilek25.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_train_v2_1_pipeline_en_5.5.0_3.0_1726552415889.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_train_v2_1_pipeline_en_5.5.0_3.0_1726552415889.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_train_v2_1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_train_v2_1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_train_v2_1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/xbilek25/whisper-small-train-v2.1
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_small_yoruba_kaggle_train_en.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_yoruba_kaggle_train_en.md
new file mode 100644
index 00000000000000..568105afab6975
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_yoruba_kaggle_train_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_small_yoruba_kaggle_train WhisperForCTC from Esammy
+author: John Snow Labs
+name: whisper_small_yoruba_kaggle_train
+date: 2024-09-17
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_yoruba_kaggle_train` is a English model originally trained by Esammy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_yoruba_kaggle_train_en_5.5.0_3.0_1726546579531.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_yoruba_kaggle_train_en_5.5.0_3.0_1726546579531.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_yoruba_kaggle_train|
+|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/Esammy/whisper-small-yoruba_kaggle_train
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_small_yoruba_kaggle_train_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_yoruba_kaggle_train_pipeline_en.md
new file mode 100644
index 00000000000000..acfe983f0b9c71
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_small_yoruba_kaggle_train_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_small_yoruba_kaggle_train_pipeline pipeline WhisperForCTC from Esammy
+author: John Snow Labs
+name: whisper_small_yoruba_kaggle_train_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_small_yoruba_kaggle_train_pipeline` is a English model originally trained by Esammy.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_small_yoruba_kaggle_train_pipeline_en_5.5.0_3.0_1726546657462.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_small_yoruba_kaggle_train_pipeline_en_5.5.0_3.0_1726546657462.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_small_yoruba_kaggle_train_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_small_yoruba_kaggle_train_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_small_yoruba_kaggle_train_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|1.7 GB|
+
+## References
+
+https://huggingface.co/Esammy/whisper-small-yoruba_kaggle_train
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_tiny_chinese_zhihcheng_pipeline_zh.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_tiny_chinese_zhihcheng_pipeline_zh.md
new file mode 100644
index 00000000000000..30005a6f5345dc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_tiny_chinese_zhihcheng_pipeline_zh.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Chinese whisper_tiny_chinese_zhihcheng_pipeline pipeline WhisperForCTC from ZhihCheng
+author: John Snow Labs
+name: whisper_tiny_chinese_zhihcheng_pipeline
+date: 2024-09-17
+tags: [zh, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: zh
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_chinese_zhihcheng_pipeline` is a Chinese model originally trained by ZhihCheng.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_chinese_zhihcheng_pipeline_zh_5.5.0_3.0_1726551468653.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_chinese_zhihcheng_pipeline_zh_5.5.0_3.0_1726551468653.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_chinese_zhihcheng_pipeline", lang = "zh")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_chinese_zhihcheng_pipeline", lang = "zh")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_chinese_zhihcheng_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|zh|
+|Size:|389.6 MB|
+
+## References
+
+https://huggingface.co/ZhihCheng/whisper-tiny-zh
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_tiny_engmed_v2_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_tiny_engmed_v2_pipeline_en.md
new file mode 100644
index 00000000000000..cad5e8e7fdfefc
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_tiny_engmed_v2_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_tiny_engmed_v2_pipeline pipeline WhisperForCTC from Hanhpt23
+author: John Snow Labs
+name: whisper_tiny_engmed_v2_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_engmed_v2_pipeline` is a English model originally trained by Hanhpt23.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_engmed_v2_pipeline_en_5.5.0_3.0_1726547766801.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_engmed_v2_pipeline_en_5.5.0_3.0_1726547766801.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_engmed_v2_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_engmed_v2_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_engmed_v2_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|378.0 MB|
+
+## References
+
+https://huggingface.co/Hanhpt23/whisper-tiny-engmed-v2
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_tiny_ga2en_v1_4_ga.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_tiny_ga2en_v1_4_ga.md
new file mode 100644
index 00000000000000..c8d52dcc431722
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_tiny_ga2en_v1_4_ga.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: Irish whisper_tiny_ga2en_v1_4 WhisperForCTC from ymoslem
+author: John Snow Labs
+name: whisper_tiny_ga2en_v1_4
+date: 2024-09-17
+tags: [ga, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: ga
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_ga2en_v1_4` is a Irish model originally trained by ymoslem.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_ga2en_v1_4_ga_5.5.0_3.0_1726552656173.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_ga2en_v1_4_ga_5.5.0_3.0_1726552656173.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_minds14_english_bayerasif|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|390.9 MB|
+
+## References
+
+https://huggingface.co/bayerasif/whisper-tiny-minds14-en
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_tiny_minds14_english_bayerasif_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_tiny_minds14_english_bayerasif_pipeline_en.md
new file mode 100644
index 00000000000000..64357472f99c52
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_tiny_minds14_english_bayerasif_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_tiny_minds14_english_bayerasif_pipeline pipeline WhisperForCTC from bayerasif
+author: John Snow Labs
+name: whisper_tiny_minds14_english_bayerasif_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_minds14_english_bayerasif_pipeline` is a English model originally trained by bayerasif.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_minds14_english_bayerasif_pipeline_en_5.5.0_3.0_1726538906336.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_minds14_english_bayerasif_pipeline_en_5.5.0_3.0_1726538906336.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_minds14_english_bayerasif_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_minds14_english_bayerasif_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_minds14_english_bayerasif_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|390.9 MB|
+
+## References
+
+https://huggingface.co/bayerasif/whisper-tiny-minds14-en
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_tiny_minds_malikibrar_en.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_tiny_minds_malikibrar_en.md
new file mode 100644
index 00000000000000..374c575711ddc9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_tiny_minds_malikibrar_en.md
@@ -0,0 +1,84 @@
+---
+layout: model
+title: English whisper_tiny_minds_malikibrar WhisperForCTC from MalikIbrar
+author: John Snow Labs
+name: whisper_tiny_minds_malikibrar
+date: 2024-09-17
+tags: [en, open_source, onnx, asr, whisper]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: WhisperForCTC
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_minds_malikibrar` is a English model originally trained by MalikIbrar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_minds_malikibrar_en_5.5.0_3.0_1726538680302.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_minds_malikibrar_en_5.5.0_3.0_1726538680302.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_minds_malikibrar|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[audio_assembler]|
+|Output Labels:|[text]|
+|Language:|en|
+|Size:|389.9 MB|
+
+## References
+
+https://huggingface.co/MalikIbrar/whisper-tiny-minds
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_tiny_minds_malikibrar_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_tiny_minds_malikibrar_pipeline_en.md
new file mode 100644
index 00000000000000..de4c3969d963b5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_tiny_minds_malikibrar_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English whisper_tiny_minds_malikibrar_pipeline pipeline WhisperForCTC from MalikIbrar
+author: John Snow Labs
+name: whisper_tiny_minds_malikibrar_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_minds_malikibrar_pipeline` is a English model originally trained by MalikIbrar.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_minds_malikibrar_pipeline_en_5.5.0_3.0_1726538702912.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_minds_malikibrar_pipeline_en_5.5.0_3.0_1726538702912.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_minds_malikibrar_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_minds_malikibrar_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_minds_malikibrar_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|389.9 MB|
+
+## References
+
+https://huggingface.co/MalikIbrar/whisper-tiny-minds
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-whisper_tiny_spanish_herme_pipeline_es.md b/docs/_posts/ahmedlone127/2024-09-17-whisper_tiny_spanish_herme_pipeline_es.md
new file mode 100644
index 00000000000000..532c81f562db79
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-whisper_tiny_spanish_herme_pipeline_es.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: Castilian, Spanish whisper_tiny_spanish_herme_pipeline pipeline WhisperForCTC from herme
+author: John Snow Labs
+name: whisper_tiny_spanish_herme_pipeline
+date: 2024-09-17
+tags: [es, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: es
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`whisper_tiny_spanish_herme_pipeline` is a Castilian, Spanish model originally trained by herme.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/whisper_tiny_spanish_herme_pipeline_es_5.5.0_3.0_1726550901360.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/whisper_tiny_spanish_herme_pipeline_es_5.5.0_3.0_1726550901360.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("whisper_tiny_spanish_herme_pipeline", lang = "es")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("whisper_tiny_spanish_herme_pipeline", lang = "es")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|whisper_tiny_spanish_herme_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|es|
+|Size:|390.8 MB|
+
+## References
+
+https://huggingface.co/herme/whisper-tiny-es
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-workstation_whisper_base_finetune_teacher__babble_noise_mozilla_100_epochs_batch_4_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-workstation_whisper_base_finetune_teacher__babble_noise_mozilla_100_epochs_batch_4_pipeline_en.md
new file mode 100644
index 00000000000000..b55cfb0e5a7d92
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-workstation_whisper_base_finetune_teacher__babble_noise_mozilla_100_epochs_batch_4_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English workstation_whisper_base_finetune_teacher__babble_noise_mozilla_100_epochs_batch_4_pipeline pipeline WhisperForCTC from rohitp1
+author: John Snow Labs
+name: workstation_whisper_base_finetune_teacher__babble_noise_mozilla_100_epochs_batch_4_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Automatic Speech Recognition
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained WhisperForCTC, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`workstation_whisper_base_finetune_teacher__babble_noise_mozilla_100_epochs_batch_4_pipeline` is a English model originally trained by rohitp1.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/workstation_whisper_base_finetune_teacher__babble_noise_mozilla_100_epochs_batch_4_pipeline_en_5.5.0_3.0_1726546145350.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/workstation_whisper_base_finetune_teacher__babble_noise_mozilla_100_epochs_batch_4_pipeline_en_5.5.0_3.0_1726546145350.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("workstation_whisper_base_finetune_teacher__babble_noise_mozilla_100_epochs_batch_4_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("workstation_whisper_base_finetune_teacher__babble_noise_mozilla_100_epochs_batch_4_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|workstation_whisper_base_finetune_teacher__babble_noise_mozilla_100_epochs_batch_4_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|646.7 MB|
+
+## References
+
+https://huggingface.co/rohitp1/workstation_whisper_base_finetune_teacher__babble_noise_mozilla_100_epochs_batch_4
+
+## Included Models
+
+- AudioAssembler
+- WhisperForCTC
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_final_mixed_aug_swap_en.md b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_final_mixed_aug_swap_en.md
new file mode 100644
index 00000000000000..344a556f065d4e
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_final_mixed_aug_swap_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_final_mixed_aug_swap XlmRoBertaForSequenceClassification from ThuyNT03
+author: John Snow Labs
+name: xlm_roberta_base_final_mixed_aug_swap
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_final_mixed_aug_swap` is a English model originally trained by ThuyNT03.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_final_mixed_aug_swap_en_5.5.0_3.0_1726535426174.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_final_mixed_aug_swap_en_5.5.0_3.0_1726535426174.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_swap|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|794.4 MB|
+
+## References
+
+https://huggingface.co/ThuyNT03/xlm-roberta-base-Final_Mixed-aug_swap
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_operator_en.md b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_operator_en.md
new file mode 100644
index 00000000000000..5dea8a330d2cc3
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_operator_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_base_operator XlmRoBertaForSequenceClassification from DanLee6507
+author: John Snow Labs
+name: xlm_roberta_base_operator
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_operator` is a English model originally trained by DanLee6507.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_operator_en_5.5.0_3.0_1726536828125.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_operator_en_5.5.0_3.0_1726536828125.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_operator|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|870.6 MB|
+
+## References
+
+https://huggingface.co/DanLee6507/xlm-roberta-base-operator
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_ukraine_waray_philippines_pov_v1_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_ukraine_waray_philippines_pov_v1_pipeline_en.md
new file mode 100644
index 00000000000000..ae1d76cbeffc37
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_ukraine_waray_philippines_pov_v1_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_ukraine_waray_philippines_pov_v1_pipeline pipeline XlmRoBertaForSequenceClassification from YaraKyrychenko
+author: John Snow Labs
+name: xlm_roberta_base_ukraine_waray_philippines_pov_v1_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_ukraine_waray_philippines_pov_v1_pipeline` is a English model originally trained by YaraKyrychenko.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_ukraine_waray_philippines_pov_v1_pipeline_en_5.5.0_3.0_1726536068355.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_ukraine_waray_philippines_pov_v1_pipeline_en_5.5.0_3.0_1726536068355.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_ukraine_waray_philippines_pov_v1_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_ukraine_waray_philippines_pov_v1_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_ukraine_waray_philippines_pov_v1_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|875.0 MB|
+
+## References
+
+https://huggingface.co/YaraKyrychenko/xlm-roberta-base-ukraine-war-pov-v1
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_vtoc_100_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_vtoc_100_pipeline_en.md
new file mode 100644
index 00000000000000..54fc411a6966ee
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_base_vtoc_100_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_roberta_base_vtoc_100_pipeline pipeline XlmRoBertaForSequenceClassification from tmnam20
+author: John Snow Labs
+name: xlm_roberta_base_vtoc_100_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_base_vtoc_100_pipeline` is a English model originally trained by tmnam20.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_vtoc_100_pipeline_en_5.5.0_3.0_1726536081129.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_base_vtoc_100_pipeline_en_5.5.0_3.0_1726536081129.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_roberta_base_vtoc_100_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_roberta_base_vtoc_100_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_base_vtoc_100_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|783.1 MB|
+
+## References
+
+https://huggingface.co/tmnam20/xlm-roberta-base-vtoc-100
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_finetuned_emojis_cen_2_en.md b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_finetuned_emojis_cen_2_en.md
new file mode 100644
index 00000000000000..3b0ab34b6040ef
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-xlm_roberta_finetuned_emojis_cen_2_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlm_roberta_finetuned_emojis_cen_2 XlmRoBertaForSequenceClassification from Karim-Gamal
+author: John Snow Labs
+name: xlm_roberta_finetuned_emojis_cen_2
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_roberta_finetuned_emojis_cen_2` is a English model originally trained by Karim-Gamal.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_roberta_finetuned_emojis_cen_2_en_5.5.0_3.0_1726536670104.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_roberta_finetuned_emojis_cen_2_en_5.5.0_3.0_1726536670104.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_roberta_finetuned_emojis_cen_2|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|1.0 GB|
+
+## References
+
+https://huggingface.co/Karim-Gamal/XLM-Roberta-finetuned-emojis-cen-2
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-xlm_v_base_tweet_sentiment_portuguese_trimmed_portuguese_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-xlm_v_base_tweet_sentiment_portuguese_trimmed_portuguese_pipeline_en.md
new file mode 100644
index 00000000000000..35c62155ae0e82
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-xlm_v_base_tweet_sentiment_portuguese_trimmed_portuguese_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlm_v_base_tweet_sentiment_portuguese_trimmed_portuguese_pipeline pipeline XlmRoBertaForSequenceClassification from vocabtrimmer
+author: John Snow Labs
+name: xlm_v_base_tweet_sentiment_portuguese_trimmed_portuguese_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlm_v_base_tweet_sentiment_portuguese_trimmed_portuguese_pipeline` is a English model originally trained by vocabtrimmer.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlm_v_base_tweet_sentiment_portuguese_trimmed_portuguese_pipeline_en_5.5.0_3.0_1726535626907.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlm_v_base_tweet_sentiment_portuguese_trimmed_portuguese_pipeline_en_5.5.0_3.0_1726535626907.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlm_v_base_tweet_sentiment_portuguese_trimmed_portuguese_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlm_v_base_tweet_sentiment_portuguese_trimmed_portuguese_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlm_v_base_tweet_sentiment_portuguese_trimmed_portuguese_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|647.0 MB|
+
+## References
+
+https://huggingface.co/vocabtrimmer/xlm-v-base-tweet-sentiment-pt-trimmed-pt
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-xlmr_sinhalese_english_all_shuffled_1986_test1000_en.md b/docs/_posts/ahmedlone127/2024-09-17-xlmr_sinhalese_english_all_shuffled_1986_test1000_en.md
new file mode 100644
index 00000000000000..7b5ac6e8181ca9
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-xlmr_sinhalese_english_all_shuffled_1986_test1000_en.md
@@ -0,0 +1,94 @@
+---
+layout: model
+title: English xlmr_sinhalese_english_all_shuffled_1986_test1000 XlmRoBertaForSequenceClassification from patpizio
+author: John Snow Labs
+name: xlmr_sinhalese_english_all_shuffled_1986_test1000
+date: 2024-09-17
+tags: [en, open_source, onnx, sequence_classification, xlm_roberta]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: XlmRoBertaForSequenceClassification
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlmr_sinhalese_english_all_shuffled_1986_test1000` is a English model originally trained by patpizio.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlmr_sinhalese_english_all_shuffled_1986_test1000_en_5.5.0_3.0_1726535648490.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlmr_sinhalese_english_all_shuffled_1986_test1000_en_5.5.0_3.0_1726535648490.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlmr_sinhalese_english_all_shuffled_1986_test1000|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document, token]|
+|Output Labels:|[class]|
+|Language:|en|
+|Size:|814.4 MB|
+
+## References
+
+https://huggingface.co/patpizio/xlmr-si-en-all_shuffled-1986-test1000
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-xlmr_sinhalese_english_all_shuffled_1986_test1000_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-xlmr_sinhalese_english_all_shuffled_1986_test1000_pipeline_en.md
new file mode 100644
index 00000000000000..c410676ab487f2
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-xlmr_sinhalese_english_all_shuffled_1986_test1000_pipeline_en.md
@@ -0,0 +1,70 @@
+---
+layout: model
+title: English xlmr_sinhalese_english_all_shuffled_1986_test1000_pipeline pipeline XlmRoBertaForSequenceClassification from patpizio
+author: John Snow Labs
+name: xlmr_sinhalese_english_all_shuffled_1986_test1000_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Text Classification
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained XlmRoBertaForSequenceClassification, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`xlmr_sinhalese_english_all_shuffled_1986_test1000_pipeline` is a English model originally trained by patpizio.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/xlmr_sinhalese_english_all_shuffled_1986_test1000_pipeline_en_5.5.0_3.0_1726535772841.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/xlmr_sinhalese_english_all_shuffled_1986_test1000_pipeline_en_5.5.0_3.0_1726535772841.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("xlmr_sinhalese_english_all_shuffled_1986_test1000_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("xlmr_sinhalese_english_all_shuffled_1986_test1000_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|xlmr_sinhalese_english_all_shuffled_1986_test1000_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|814.4 MB|
+
+## References
+
+https://huggingface.co/patpizio/xlmr-si-en-all_shuffled-1986-test1000
+
+## Included Models
+
+- DocumentAssembler
+- TokenizerModel
+- XlmRoBertaForSequenceClassification
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-your_model_name_en.md b/docs/_posts/ahmedlone127/2024-09-17-your_model_name_en.md
new file mode 100644
index 00000000000000..39b26b62e6535a
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-your_model_name_en.md
@@ -0,0 +1,86 @@
+---
+layout: model
+title: English your_model_name BertForQuestionAnswering from utkuozuak
+author: John Snow Labs
+name: your_model_name
+date: 2024-09-17
+tags: [en, open_source, onnx, question_answering, bert]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+engine: onnx
+annotator: BertForQuestionAnswering
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering model, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`your_model_name` is a English model originally trained by utkuozuak.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/your_model_name_en_5.5.0_3.0_1726544721783.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/your_model_name_en_5.5.0_3.0_1726544721783.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|your_model_name|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Input Labels:|[document_question, document_context]|
+|Output Labels:|[answer]|
+|Language:|en|
+|Size:|412.3 MB|
+
+## References
+
+https://huggingface.co/utkuozuak/your_model_name
\ No newline at end of file
diff --git a/docs/_posts/ahmedlone127/2024-09-17-your_model_name_pipeline_en.md b/docs/_posts/ahmedlone127/2024-09-17-your_model_name_pipeline_en.md
new file mode 100644
index 00000000000000..69a19f7b43dac5
--- /dev/null
+++ b/docs/_posts/ahmedlone127/2024-09-17-your_model_name_pipeline_en.md
@@ -0,0 +1,69 @@
+---
+layout: model
+title: English your_model_name_pipeline pipeline BertForQuestionAnswering from utkuozuak
+author: John Snow Labs
+name: your_model_name_pipeline
+date: 2024-09-17
+tags: [en, open_source, pipeline, onnx]
+task: Question Answering
+language: en
+edition: Spark NLP 5.5.0
+spark_version: 3.0
+supported: true
+annotator: PipelineModel
+article_header:
+ type: cover
+use_language_switcher: "Python-Scala-Java"
+---
+
+## Description
+
+Pretrained BertForQuestionAnswering, adapted from Hugging Face and curated to provide scalability and production-readiness using Spark NLP.`your_model_name_pipeline` is a English model originally trained by utkuozuak.
+
+{:.btn-box}
+
+
+[Download](https://s3.amazonaws.com/auxdata.johnsnowlabs.com/public/models/your_model_name_pipeline_en_5.5.0_3.0_1726544741254.zip){:.button.button-orange.button-orange-trans.arr.button-icon}
+[Copy S3 URI](s3://auxdata.johnsnowlabs.com/public/models/your_model_name_pipeline_en_5.5.0_3.0_1726544741254.zip){:.button.button-orange.button-orange-trans.button-icon.button-copy-s3}
+
+## How to use
+
+
+
+
+{% include programmingLanguageSelectScalaPythonNLU.html %}
+```python
+
+pipeline = PretrainedPipeline("your_model_name_pipeline", lang = "en")
+annotations = pipeline.transform(df)
+
+```
+```scala
+
+val pipeline = new PretrainedPipeline("your_model_name_pipeline", lang = "en")
+val annotations = pipeline.transform(df)
+
+```
+
+
+{:.model-param}
+## Model Information
+
+{:.table-model}
+|---|---|
+|Model Name:|your_model_name_pipeline|
+|Type:|pipeline|
+|Compatibility:|Spark NLP 5.5.0+|
+|License:|Open Source|
+|Edition:|Official|
+|Language:|en|
+|Size:|412.3 MB|
+
+## References
+
+https://huggingface.co/utkuozuak/your_model_name
+
+## Included Models
+
+- MultiDocumentAssembler
+- BertForQuestionAnswering
\ No newline at end of file